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Survival of the Greenest

Economic Transformation in a Climate-conscious World

Published online by Cambridge University Press:  27 April 2024

Amir Lebdioui
Affiliation:
University of Oxford

Summary

The pathways to economic development are changing. Environmental sustainability is no longer a choice but a necessity to maintain a competitive edge in the global economy. Just like in nature, where survival hinges on adaptation, this Element shows how nations adjust to -and take advantage of- the new dynamics of structural transformation induced by climate change.First, by analysing the uneven industrial geography of decarbonisation, the inadequate state of climate financing and rise of green protectionism, it demonstrates that the low-carbon economy stands to increase economic disparities between nations, unless action is taken. Then, by examining green industrial policies and their varied success, it explains how governments can still join the green industrialisation race. Finally, it examines how to adapt green industrial policy to different starting points, market sizes, productive structures, state-business relations dynamics, institutional layouts, and ecological contexts. This title is also available as Open Access on Cambridge Core.
Type
Element
Information
Online ISBN: 9781009339414
Publisher: Cambridge University Press
Print publication: 16 May 2024
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Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-SA 3.0 IGO https://creativecommons.org/cclicenses/

1 Introduction: A Changing Climate for Economic Development

It is not the most intellectual of the species that survives; it is not the strongest that survives; but the species that survives is the one that is able best to adapt and adjust to the changing environment in which it finds itself.

― Charles Darwin

From the simplest organisms to the most complex ecosystems, the ability to evolve in response to environmental changes has been the cornerstone of survival, including for humans. This principle of adaptation in the natural world finds a compelling parallel in the realm of economics. As we navigate the twenty-first century, it becomes increasingly evident that economic development strategies, much like biological species, must adapt to respond to a growingly vital concern for climate change, which stands out as one of the most important existential threats that humanity has faced. Globally, the past seven years have been the seven warmest years on record since 1850 (World Meteorological Organization, 2021a). There is a scientific consensus that if global temperature increases by 2 °C, 37 per cent of the world population will be exposed to severe (and often deadly) heatwaves at least once every five years; while sea-level rise will lead to salinisation of water supplies and other impacts on ecological systems (Reference Oppenheimer, Glavovic and HinkelOppenheimer et al., 2019). Increased water scarcity will generate conflict, exacerbate poverty, population displacement, and famine. Even keeping temperatures from rising more than 1.5°C above pre-industrial levels, as stipulated in the Paris climate agreement, entails harsh consequences, but makes the difference between a planet that’s still suitable for humans to live on and one that is not.

Thanks to decades of research, we broadly know how to address climate change: by expanding low-carbon solutions, replacing fossil fuels with clean energies, and avoiding unsustainable overconsumption. However, what we still do not know is how to ensure economic prosperity and sustain livelihoods while decarbonising our planet. The dual agenda between economic development and decarbonisation has been the source of heated academic debates but remains poorly understood, especially in practice. This is partly why politicians are rarely inclined to jeopardise economic goals in favour of environmental ones. In poor countries, the dilemma is even more considerable: despite the progress achieved over the past century, extreme poverty (i.e. subsisting on less than USD 2.15/day) is still the reality for every tenth person in the world (around 648 million people, see World Bank, 2022), and is even expected to increase due to climate-induced shocks.Footnote 1

Though they have not benefited from rising living standards on the back of highly polluting development models, developing countries disproportionately suffer from the economic consequences of climate change. Beyond its effects on GDP (which is misleading as an indicator of economic progress), climate change also disproportionately affects the export capacity of developing nations because most developing nations highly depend on the extraction of raw materials (especially agriculture and fossil fuels) as a source of exports, revenues, and jobs, which are highly vulnerable to both climate risks and transition risks (see Section 2).Footnote 2 Furthermore, global decarbonisation stands to increase economic disparities between countries, with the poorest nations being left – and perhaps even pushed – behind in the industrial geography of decarbonisation (see Section 3).

Against this backdrop, the optimal pathways to economic development are changing. The exact conditions that allowed nations to successfully industrialise and develop over the past century are not replicable – nor suitable – anymore. Carbon-intensive industrialisation models (which underpinned the East Asian miracle since the 1960s) present limits as well as blocked entry routes, not only due to the rise of China as an industrial powerhouse but also because those models are incompatible with the transition towards a low-carbon future. Notwithstanding the benefits that growth and industrialisation have brought millions of people – lifting them out of poverty, reducing infant mortality, and increasing life expectancy – evidence now shows that this approach has brought us to the brink of an ecological catastrophe, putting at serious risk all these benefits (Reference Ekins and ZenghelisEkins and Zenghelis, 2021). Today, the growing sustainability agenda, changing consumer demand, the adoption of environmental regulations and sustainable trade standards, and the rise of carbon taxes imply that what has worked in the past will not work today.

So, what are the ways forward? Developing countries, having not used their share of the atmospheric stock of carbon, have a claim for the right to pollute. But is that necessarily the optimal course of action for local populations? Is industrial development still the optimal pathway to poverty reduction – and if so, what type of model can help reconcile industrialisation with sustainability? Is low-carbon manufacturing the only pathway to green economic transformation? For latecomers, is green industrialisation an easier route for catching up than standard industrialisation? What policy tools will help countries get there, especially those with limited pre-existing capabilities? Where is green industrial policy bearing positive outcomes, and what are the factors that influence its success? Are the international financial and trade systems supporting a just transition, or are they exacerbating the disparities in terms of green economic opportunities between rich and poor nations?

Answering such questions is no easy task, and this Element does not claim to provide all the answers. However, by exploring the various pathways to green economic transformation and their political economy underpinnings, I aim to explain how governments can overcome the important obstacles that stand in the way of a truly sustainable development. The core argument of this Element is that although countries seeking economic development would not benefit from replicating carbon-intensive economic strategies, industrial policy remains as relevant as ever in a low-carbon future. However, this industrial policy cannot reproduce errors of the past and needs to be based on new principles of ecological viability.

Beyond the ‘Grow Now – Clean Up Later’ Logic

Historically, the common approach to economic development in the context of sustainability has consisted of focusing on getting rich first and hoping to have the resources to fix the environment later (Reference Ekins and ZenghelisEkins and Zenghelis, 2021). Recent evidence also suggests that industrialised nations with higher export sophistication have a higher ability to lower greenhouse gas (GHG) emissions (Reference Romero and GramkowRomero and Gramkow, 2021), with considerable path dependence between manufacturing capabilities and low-carbon technologies. For instance, Brazil’s pre-existing aerospace sector helped to develop a wind turbine industry (Reference HochstetlerHochstetler, 2020); Malaysia and China’s existing electronics capabilities supported the domestic production of solar cells, while Norway’s offshore oil production helped the country develop an offshore wind energy industry. Policymakers may also want to pursue the ‘grow now, clean up later’ strategy to wait until environmental solutions have been developed elsewhere and incremental improvements, learning by doing, and economies of scale have brought costs down, rather than incurring development costs themselves (Reference Arrow and RowleyArrow, 1972; Reference Guo and FanGuo & Fan, 2017). Lastly, delaying environmental action may also be preferred to avoid political resistance (Reference Pegels and AltenburgPegels and Altenburg, 2020).

However, this strategy presents severe limitations:

  1. (1) Delaying action to embark on a green transformation implies high risks, not only of ecological damage but also of losses from asset stranding and lock-in in carbon-intensive economic, innovation, and institutional pathways, especially because energy systems are subject to long-lived path dependence (Reference Aghion, Hepburn, Teytelboym, Zenghelis and FouquetAghion et al., 2019; Reference FouquetFouquet, 2016).

  2. (2) Delaying greening can also incur extra costs of having to pursue more radical restructuring measures if they are delayed to the future (Reference Acemoglu, Aghion, Bursztyn and HemousAcemoglu et al., 2012; Reference Pegels and AltenburgPegels and Altenburg, 2020; Reference SternStern, 2007).

  3. (3) There is an element of game theory in the economics of decarbonisation, as the actions of others influence one’s optimal development strategy. If the world’s major consumer markets go green, there are high risks for economies that remain carbon-intensive, regardless of their income status. In anticipation of new green trade regulations and sustainability standards, countries will have to shift their productive capabilities towards the export of green goods and services to retain access to the largest consumer markets. The European Union’s (EU) recent Carbon Border Adjustment Mechanism (CBAM) is a case in point, as it is estimated to cause losses of up to $31 billion across the African continent (Reference Aggad and LukeAggad and Luke, 2023).

  4. (4) Delaying greening can hinder a country’s ability to seize market and investment opportunities that decarbonisation provides, thereby missing out on thegaining first-mover advantage in some strategic industries.

If we understand development as being about opening pathways to prosperity rather than locking in non-viable growth, which is the view that this Element takes, then early greening (including in developing and fossil-fuel-dependent economies) can help bring about a range of benefits and open up new entry doors for industrialisation by gaining a foothold in the markets of the future (Reference Pegels and AltenburgPegels and Altenburg, 2020). As best phrased by Reference Perez, Jacobs and MazzucatoCarlota Perez (2016), ‘increasingly, the greatest window of opportunity of the present day is the possibility of overcoming the contextual legacy of the previous paradigm; in this case, the environmental degradation and resource scarcity brought about by the age of oil and mass production.’ And in many ways, the global green transformation also provides a new direction for techno-economic development (Reference Lema and PerezLema and Perez, 2024). The synergies between economic development and sustainability are further explained in what follows, with specific reference to the green reconfiguration of industrialisation.

Industrialisation is Dead. Long Live (Green) Industrialisation?

The role that industrialisation can play in the context of ecological sustainability is often overlooked and misunderstood. Both neoclassical and degrowth economics (or at least part of it) can be accused of a methodological fixation on consumption, with much less attention devoted to what sustainability entails in terms of the transformation of productive structures. Humanity does have a consumption problem, but the challenge of ecological sustainability goes beyond consuming less or differently, as it also involves an ancillary shift towards low-carbon manufacturing, given the important potential that new technologies and manufacturing transitions have in drastically reducing the material and energy content of consumption patterns (Reference Anzolin and LebdiouiAnzolin and Lebdioui, 2021; Reference Okereke, Coke and GeebreyesusOkereke et al. 2019; Reference Perez, Jacobs and MazzucatoPerez, 2016). Nonetheless, industrialisation as we know it has to change. Historically, industrialisation has had a pernicious ecological impact (industry currently accounts for 30 per cent of GHG emissions globally). However, we must not throw the baby with the bathwater: climate-compatible industrialisation model is possible but needs to be based on new principles of resource efficiency and durability. In the following, I describe three main channels in which sustainability and industrialisation goals mutually reinforce each other.

  1. (1) Seizing ‘green windows of opportunity’ for industrialisation: It is increasingly evident that the large-scale deployment of low-carbon technologies opens a new wave of opportunity for industrialisation, the so-called ‘green window of opportunity’ (GWO) (Reference Lema, Fu and RabellottiLema et al., 2020). Though there are blocked routes to standard industrialisation given intense competition (Reference Morris, Kaplinsky and KaplanMorris et al., 2012), nations can still be early movers in ‘industries without smokestacks’ (Reference Newfarmer, Page and TarpNewfarmer et al., 2019), which hold considerable potential for jobs creation and technological innovation (see Section 4). Opportunities exist to industrialise not only by integrating key segments of low-carbon technology supply chains (e.g. the manufacturing of electric batteries) but also by taking advantage of abundant clean energy generation as feedstock to develop competitive energy-intensive services and manufacturing activities.

  2. (2) Clean energy transitions as enablers of the Fourth Industrial Revolution (4IR): Energy transitions are a backbone pillar to sustain the 4IR, which is defined as the advent of ‘cyber–physical systems’ involving entirely new capabilities for industrial production. Whether it is digitalisation, automation, artificial intelligence, 3D printing, blockchains, the Internet of Things (IoT), or Big Data, the 4IR technologies are highly energy-intensive and can consequently generate a high carbon footprint. Estimates suggest that the energy demand of the Information and Communication Industry is already higher than the aviation sector (Reference Freitag, Berners-Lee and WiddicksFreitag et al., 2021).Footnote 3 Given the already increasing calls by the international community to reduce the environmental impact of artificial intelligence systems and data infrastructures (Reference Balsameda, Melguizo and MunozBalsameda et al., 2022; UNESCO, 2022), the 4IR will have to go hand in hand with clean energy deployment and broader ecological sustainability. In that perspective, failure to ensure access to cheap, reliable, and clean energy sources in some nations may hinder their ability to uptake a state-of-the-art industrialisation strategy. In those contexts, the 4IR may not offer the anticipated ‘leap’ forward (Reference Mazibuko-Makena and Kraemer-MbulaMazibuko-Makena and Kraemer-Mbula, 2021).

  3. (3) Value addition through environmental upgrading and circular economy: The classic understanding of economic upgrading has been linked to improvements in the ability of firms to move into more profitable and/or technologically sophisticated economic niches (Reference Gereffi, Ponte, Gereffi and Raj-ReichertGereffi, 2019). However, over the past decade, the environmental dimensions of value addition have started gaining attention, which has led to the concept of environmental upgrading, whereby value is created by adopting environmental measures in value chains (Reference Marchi, Maria and MicelliDe Marchi, Di Maria, and Micelli 2013; Reference PontePonte, 2019; Reference Khan, Ponte and Lund-ThomsenKhan et al., 2020).

    Environmental upgrading can generate process, product, as well as intersectoral upgrading. Process upgrading occurs by increasing production efficiency either through better organization of internal processes or the use of superior technology (Reference Humphrey and SchmitzHumphrey and Schmitz, 2000). Circular economy approaches, which involve careful management of material flows and aim to decouple economic growth from the consumption of finite resources by reducing and reinserting waste into production processes (Reference MacArthur Foundation.Ellen MacArthur Foundation, 2015), are particularly relevant for process upgrading as they can entail considerable net material cost savings for manufacturing sectors. Increasing resource efficiency can lead to higher cost competitiveness, as firms require less inputs to produce the same amount of outputs.Footnote 4

    Sustainability measures can also generate intersectoral upgrading (also known as chain upgrading), which denotes the entry of a firm into a completely new value chain using capabilities acquired through the production of another good. In contrast to linear production systems, where growing trade in non-valuable scrap and waste exacerbates environmental damage and leads to the dumping of waste from developed to developing regions which often have weaker regulations (as illustrated by the case of dumping of used apparel in Chile, Reference Al JazeeraAl Jazeera, 2021), circular production systems present an opportunity to use these materials as valuable input for production processes in other industries (Reference MacArthur Foundation.Ellen MacArthur Foundation, 2015). Indeed, synergies exist in terms of demand and supply of waste material and its re-use across different supply chains across countries, which can help improve productivity and provide new opportunities for firms to enter new value chains. For instance, in Uruguay, dairy farmers who began to reuse organic waste from their cows to produce biofuels were able to generate as much as 40% additional revenues from biofuel production, besides milk production.Footnote 5

    Lastly, sustainability measures can help achieve product upgrading, that is increasing the competitiveness and value of products by increasing their durability and/or lowering their environmental impact. To remain competitive in the context of sustainability trends and increasing consumer preference for products that have a lower carbon and material footprint, firms can capture market premiums through product differentiation for goods and services whose eco-friendliness either lies in their production (e.g. clothes made out of recycled material) or their consumption (e.g. re-usable cups, electricity-saving gadgets, or durable/easily repairable products). Beyond the expectations of direct monetary returns (as eco-friendly options tend to have a higher price tag than regular products), firms may also adopt sustainability measures to reap reputational value. Recent studies even show that a firm’s reputation for being committed to sustainability is an intangible resource that can increase the value of a firm’s expected cash flows. (Reference Lourenço, Callen, Branco and CurtoLourenço et al., 2014)

For all the aforementioned reasons, we must go beyond an unproductive confrontation between the sustainability and the industrialisation agenda. However, not all countries are equally well-positioned to benefit from green industrialisation opportunities, and some have already taken a head start.

Conforming or Defying Comparative Advantage to Acquire Green Productive Capabilities?

Why is China better than everyone else at producing solar panels? Why is Denmark so good at producing wind turbines? Why is Austria one of the largest exporters of hydropower equipment? Can the performance of these countries be solely explained by the idea that they have a comparative advantage in producing those goods?

For understanding how countries acquire new productive capabilities required for green industrialisation, it is worth going back to the longstanding debate on whether state interventions should conform or defy comparative advantage (see Reference Lin and ChangLin and Chang, 2009). The concept of comparative advantage, one of the core concepts of economics invented by Ricardo over 200 years ago, stipulates that nations can gain an international trade advantage when they focus on producing goods that produce the lowest opportunity costs as compared to other nations. However, many countries have industrialised successfully by developing capabilities and learning by doing in sectors in which they did not have comparative advantage (Reference ChangChang, 2006). In that sense, static interpretations of the concept of comparative advantage tend to be path-dependent upon established capabilities, thereby consolidating the status quo as they have been mostly unfavourable to industrial development in poor countries where pre-existing capabilities often lack and have tended to condemn them to export unprocessed natural resources that they dispose of (which can be quite problematic in the context of climate change as explained in Section 2).Footnote 6

As shown in Figure 1, most countries with a revealed comparative advantage in low-carbon technology products and environmental goods tend to be already industrialised, mostly high-income nations (especially in East Asia, the EU, and the USA). If the transition to a low-carbon economy enables high green industrialised prospects for already industrialised nations while renewing the limited role of most developing countries as sources of raw materials, the status quo is likely to increase economic disparities within countries, which casts doubts on the central promise of the UN sustainable development goals to leave no one behind. Some distinctions must also be drawn between ‘developing countries’, which, as a category, lump together countries facing very different situations, ranging from China, Malaysia, and Mexico, which have developed green industrial capabilities, to low-income commodity-based nations such as Suriname, Togo, and Papua New Guinea. For this reason, this Element will often refer to industrialised and latecomers, or specially refer to commodity-dependent developing nations in the context of acute exposure to climate risks (see Section 2).

Figure 1 Revealed comparative advantage in low-carbon technology products and environmental goods (2019–2021)Footnote 7

Source: Elaboration based on the IMF climate dataset

Rather than accepting that countries have gotten where they are by exploiting their existing comparative advantages, the key question we should ask is how they have developed new productive capabilities and acquired new comparative advantages. In that sense, dynamic approaches to comparative advantage (which feature more prominently in the structuralist, neo-Schumpeterian, developmentalist, and institutionalist schools of economics) feature a wider scope for the role of the state, responsible for shaping productive transformation away from ‘low-quality activities’ towards ‘high-quality activities’ that are characterised by economies of scale, technological upgrading, high productivity and wages (see Reference ChangChang, 2003; Reference Cimoli, Dosi and StiglitzCimoli et al., 2009; Reference MazzucatoMazzucato, 2016; Reference Nurkse and EllisNurske, 1961; Reference PerezPerez, 2010, Reference Perez, Jacobs and Mazzucato2016; Reference Salazar-Xirinachs and SunkelSalazar-Xirinachs, 1993). As further explored in Section 4, such an approach is better suited to explain the role that state interventions have had in stimulating the acquisition of green productive capabilities in several developed and developing countries (Reference Altenburg and RodrikAltenburg and Rodrik, 2017; Reference Anzolin and LebdiouiAnzolin and Lebdioui, 2021; Reference Lema and LemaLema and Lema, 2012; Reference Mazzucato, Scoones, Leach and NewellMazzucato, 2015, Reference Newfarmer, Page and TarpNewfarmer et al., 2019, Reference PegelsPegels, 2014).

The rationale for comparative advantage-defying policies is even stronger in the case of developing nations, where substantial market imperfections are more likely to persist in hindering industrial activities, technology transfer, adoption, innovation, and learning-by-doing. Rather than implying that those conditions make industrial policies too risky (which is the common critique of industrial policy in developing countries), they justify why government interventions are needed in the first place to efficiently reorient scarce capital towards priority areas with high spillover effects. This, of course, requires appropriate governance mechanisms and institutional structures to avoid inefficiencies, distortions, elite capture, and corruption. However, such governance mechanisms can be built. Our focus should therefore turn to how to improve the quality of government interventions to acquire new areas of comparative advantage, rather than accepting the status quo as a fait accompli. It is through such an approach that this Element will explain the dynamic process of green industrial development and its implications for developing nations.

Varieties of Green Economic Transformation and the Slippery Slope of Isomorphic Mimicry: It’s Not Just about Producing Low-Carbon Tech

When it comes to green economic transformation, isomorphic mimicry must be treated with great caution.Footnote 8 In biology, isomorphic mimicry refers to how different organisms evolve to look similar without actually being related, in order to gain an evolutionary advantage. In public policy, it refers to the tendency of governments to mimic other governments’ successes, replicating processes, systems, and strategies, and often ends in ‘successful failure’ (Reference Andrews, Pritchett and WoolcockAndrews et al., 2017).

There is a growing tendency to mimic other governments’ green industrialisation strategies. For instance, over twenty governments have implemented local content requirements in renewable energy sectors, following China’s successful experience with that instrument, but none of them reached a similar outcome (see Section 4). While it can be useful to learn and emulate others, it must be stressed that green economic transformation can take various forms, whose suitability depends on local contexts and capabilities, but this is also due to the multifaceted nature of our sustainability challenge. We tend to equate sustainability with decarbonisation, but there are other critical aspects of sustainability that also have implications for economic transformation, such as dematerialisation given the threat posed by material pollution to nature and human health, the sustainable exploitation of renewable resources such as fishing, forests, and water, as well as the alarming rate of biodiversity loss.

In practice, green economic transformation can also take the form of four distinct – albeit not mutually exclusive – processes (Reference Chang, Lebdioui and AlbertoneChang, Lebdioui, and Albertone, 2024). The first process (which is what we often have in mind when referring to green industrialisation) consists in the production of ‘green’ technologies (often those at the heart of the transformation of the global energy matrix) that replace conventional technologies.

The second process consists in improving resource efficiency (both energy and material) in existing production, which can be achieved by:

  1. (1) Adopting cleaner production processes (i.e. by shifting to clean energy sources to power industrial operations for green steel production)

  2. (2) Improving the durability of products and allowing for easier repair, reuse, and longer product lifespan (e.g. durable and repairable consumer electronics)

  3. (3) Reorganising production processes in a way that reduces resource needs (adoption of circular economy principles)

The third one consists in mitigating the negative externalities from industrial activities that are already taking place. This process involves industries related to pollution control, geoengineering, and resource management (such as industrial air filters, carbon capture, utilisation and storage technology, and equipment for wastewater treatment).

The fourth process (which we can dub the Khaby processFootnote 9) consists in the production of ‘old’ environmentally friendly goods that may not involve complex technology but that can nonetheless offer obvious ecological and economic spillovers (such as bicycles, organic agriculture, or multi-use products to replace single-use plastics). This process of sustainable industrialisation is often neglected, as it may not capture the attention of techno-optimists, but holds considerable value for sustainable industrialisation (see the discussion on the exclusion of bicycles as part of the environmental goods agreements in Section 6).

In sum, green economic transformation is a multi-dimensional process that extends beyond low-carbon technology production. The optimal path to green economic transformation will also vary significantly across different countries and regions based on their own circumstances, possibilities, and constraints. Pursuing deforestation in biodiverse areas or arable lands to make room for solar panel factories goes against principles of sustainable development, and other pathways to green economic transformation exist (as further explained in Section 5).

Outline of this Element

This Element is structured as follows. Section 2 explains the disproportionate economic impact that climate change and global decarbonisation will have on developing countries, before drawing theoretical and practical implications on how to rethink the concept of climate resilience and its implications for productive economic transformation.

Section 3 evidences the uneven industrial geography of decarbonisation by showing how most of the jobs, trade, innovation, and value derived from low-carbon technologies have been captured in a handful of industrialised economies. This has considerable implications for the ‘leaving no one behind’ agenda, as countries that are the most exposed economically to climate and transition risks are not those poised to benefit from emerging green industrial opportunities.

This brings us to the role of governments in Section 4, which emphasises the role of green industrial policy, its factors of success, its different ‘styles’ (whether escorting or disciplining), and its political economy constraints and institutional requirements. This section explains that although there are some universal lessons that can be applied, green industrial policy needs to be adapted to local circumstances, and its objectives will differ across countries.

Furthermore, if all countries aim to industrialise simultaneously by manufacturing low-carbon technology, global demand may not support such a rapid expansion of production, leading to reduced overall growth and development. This is why, to better illustrate the varieties of green economic transformation pathways that exist beyond traditional manufacturing-led industrialisation, Section 5 examines different contexts and their implications for development strategies (including climate-smart agriculture in regions dominated by arable land, value-added nature-based services in biodiverse regions, fossil-fuel producers, and small nations/nations with a limited domestic market size).

Section 6 explores some of the international hurdles to green economic transformation, such as the rise of green protectionism in major markets, double sustainability standards, and the broken climate financing pledges, which weaken the ability of developing nations to promote their own green economic transformations. I argue that rich nations are effectively ‘kicking away the green ladder’ before discussing recent initiatives to reclaim policy space for green industrial policy.

Section 7 provides concluding remarks and identifies key trends that may influence the future of research at the intersection of development economics and ecology.

2 Rethinking Resilience to Climate and Transition Risks and the Role of Productive Diversification

People are largely ignorant of the interests of the human species.

― Ibn Khaldun (fourteenth century)

To date, most of the discourse around climate action has focused on addressing the symptoms rather than the root causes that make developing countries particularly vulnerable economically to climate and transition risks. Going beyond the unhelpful dichotomy between climate adaptation and climate mitigation, we need a better understanding of what climate-resilient economic development looks like. This section highlights the critical role of productive diversification towards that end.

How Climate Affects Trade and Financial Stability

Across the globe, precipitation patterns are shifting, temperatures are rising, and some areas are experiencing changes in the frequency and severity of weather extremes such as floods and droughts. However, not all areas are affected equally by the economic effects of climate change, and developing regions are particularly disadvantaged. African nations already suffered economic losses of approximately USD 38 billion because of climate change effects in 2020 alone (World Meteorological Organization, 2021a). In Latin America, it is estimated that climate change-induced damages could cost as much as USD 100 billion annually by 2050 (Reference Vergara, Rios and PalizaVergara et al., 2013).

One of the reasons why climate change is likely to disproportionately impact developing countries lies in their higher reliance on the exports of commodities that are sensitive to climatic conditions. Fluctuations in precipitation and temperature threaten the long-term productivity of several agricultural goods that many (mostly developing) countries depend on as a source of revenue, jobs, and exports (see Figure 2). To note just a few obvious examples, climate change may pose a serious risk to salmon farming in Chile, coffee bean production in Vietnam and Colombia, cacao production in Cote d’Ivoire and Ecuador, or wine production in South Africa (see Reference ConwayConway, 2020; Reference Macías Barberán, Cuenca Nevárez and Intriago FlorMacías Barberán et al., 2019; Reference Soto, León‐Muñoz and DresdnerSoto et al., 2019). The increased frequency of extreme meteorological events has already led to devastating effects on tradable sectors such as agriculture and nature-based tourism in many parts of the world.Footnote 10 For instance, in the Caribbean, the hurricane season resulted in an estimated loss of more than 800,000 visitors, which would have generated USD 740 million for the region and supported about 11,000 jobs in 2017 (Reference Saget, Vogt-Schilb and LuuSaget et al., 2020). In Guatemala, drought conditions throughout Reference Saget, Vogt-Schilb and Luu2020 led to the destruction of 80 per cent of maize grown in the highlands (World Meteorological Organization, 2021b).

Figure 2 Mapping commodity-dependent economies

Source: UNCTAD

Economic vulnerabilities to climate change also pose risks to countries’ ability to borrow capital. Developing countries already suffer from difficult financing conditions, with an average interest cost on external borrowing three times higher than that of developed countries.Footnote 11 Such excessive interest rates often prevent poorer countries from accumulating public savings (least developed countries (LDCs) dedicate an average of 14 per cent of their domestic revenue to interest payments, compared to only around 3.5 per cent in developed countries) (Reference Volz and AitkenVolz and Aitken, 2022). This gap is worsening with climate change because developing countries are more exposed to environmental risks that are increasingly considered by financial rating agencies that give those countries lower credit ratings, which translates into even higher interest rates.Footnote 12 Soon, for every USD 10 paid in interest by developing countries, an additional dollar will be spent due to climate vulnerability (Reference Buhr, Donovan and KlingBuhr et al., 2018). To reduce the vulnerability of their financial systems to climate change, countries should not only adopt policies to reduce their exposure to environmental risks but also lobby for more stringent international action as many of those risks are beyond their national sphere of control.

Climate change knows no borders, and the adjustments that have to be made to avoid it are greater for some than for others (Reference StiglitzStiglitz, 2015). Furthermore, the impact of climate change crosses not only national borders but also socio-economic ones. While most analyses of the economic impact of climate change (including this Element) consider regional or national economies through macroeconomic aggregates such as gross domestic product, or nationwide productive capabilities, such an approach can shadow some of the very important distributional impacts of climate change within countries (see Reference Hallegatte and RozenbergHallegatte and Rozenberg, 2017).Footnote 13 Climate risks exacerbate inequalities not only among countries but also within them.

The Impact of Global Decarbonisation: Transition Risks against the Right to Extract

Besides climatic risks, many countries are also exposed to transition risks, which refer to the financial and economic challenges that countries might face because of changes in policies, technology, market dynamics, and societal preferences aimed at addressing climate change (see Reference Semieniuk, Campiglio, Mercure, Volz and EdwardsSemieniuk et al., 2021 for a comprehensive review of the various drivers of low-carbon transitions risks for finance). One of the biggest transition risks derives from the drop in fossil-fuel demand. As the world draws closer to net-zero emissions, it is estimated that over 2.7 million jobs in fossil-fuel industries will be lost globally by 2030 (IEA, 2021). Although the use of petroleum in our societies will not completely disappear given the use of petroleum products for a wide range of non-energy products such as pharmaceuticals, cosmetics, and plastic goods, it can nonetheless be expected that the demand for petroleum will considerably decrease. For countries that consume a lot of fossil fuels, this implies an important shift in consumption and infrastructure towards low-carbon solutions, but for countries that depend on the exports of fossil fuels as a source of income (most of which are in the developing world, as shown in Figure 2), the prospects of global decarbonisation call for a more radical transformation of productive structures to avoid economic decline. In Africa, for instance, fossil fuels currently represent around 40 per cent of total exports (sometimes reaching as much as 60 per cent in recent years).Footnote 14 In such contexts of fossil-fuel dependence and high carbon-intensity of productive structure, one major preoccupation concern lies in asset stranding, which is the unexpected devaluation of assets from the balance sheets of economic agents (Reference CaldecottCaldecott, 2018; Reference van der Ploeg and Rezaivan der Ploeg and Rezai, 2020).

An important argument often put forward concerns the right to extract fossil fuels by communities that are not responsible and did not benefit from extraction in the past. If Africa were to use all its known reserves of natural gas, its share of global emissions would rise from a mere 3 to 3.5 per cent (Reference BuhariBuhari, 2022). This is why indiscriminate calls for developing countries to keep fossil fuels in the ground can be misguided, especially considering that countries typically considered leaders in climate finance are extracting some of the most carbon-intensive petroleum in the world. On average, a barrel of Canadian oil is twice as carbon-intensive as a barrel of oil from Colombia and Ecuador, three times more carbon-intensive than a barrel of oil from Norway, and almost four times more carbon-intensive than a barrel of oil from Saudi Arabia!Footnote 15 There is therefore a fair claim by global south nations to continue producing fossil fuels, while richer nations begin their phase-out.

However, the legitimate right to produce fossil fuel must be met with developmental pragmatism. Firstly, if current and future fossil fuel extraction is destined for exports, the profitability of such activity remains conditioned by the world demand for fossil fuels, which is influenced by the speed at which the global economy is decarbonised. Secondly, the rise of cross-border carbon taxes and sustainability standards may lower the competitiveness of activities produced with fossil-fuel-based energies. Lastly, even in developing countries, early greening, rather than relying on the extraction of fossil fuels, can help bring about co-benefits while gaining a foothold in the markets of the future, avoiding asset stranding (Reference Pegels and AltenburgPegels and Altenburg, 2020). As a result, even in countries that have not historically contributed to global GHG emissions, a forward-looking development strategy often implies favouring a green industrialisation pathway to avoid the risks of stranded assets and the risk of locking their economies onto energy-intensive pathways.

Meanwhile, we can expect the demand for the so-called critical minerals (that are essential inputs of low-carbon technologies) to significantly increase over the next two decades, which causes great sources of optimism in countries that produce them. For instance, the Democratic Republic of Congo is one of the world’s largest cobalt producers, Rwanda is the world’s largest exporter of tantalum, and South Africa is the world’s largest producer of platinum and manganese. In Latin America, Chile, Argentina, and Bolivia collectively hold most of the world’s lithium reserves, while China dominates the production of rare earth. Today, these so-called ‘critical minerals’ represent a growing market.Footnote 16 However, risks also exist. The long-term outlook for these minerals is still dominated by uncertainty and risks of technological disruption, given the considerable R&D efforts globally to generate alternative technologies that rely on substitute materials (such as phosphate-based or hydrogen-based batteries to replace lithium-ion batteries, or substitutes to cobalt in electronics) (Reference Manley, Heller and DavisManley et al., 2022). Furthermore, mined resources (and by extension their associated fiscal revenues) are non-renewable, at least from a producing nation perspective.Footnote 17 The economic decline of Nauru, a small island-country located in the Central Pacific, provides a cautionary tale: Nauru possessed one of the highest GDP per capita in the world (around $27,000) in the 1970s due to the rents generated by the extraction of its rich phosphate deposits (Reference TrumbullTrumbull, 1982). Nevertheless, a few decades later, the country was on the brink of economic collapse, as a result of the exhaustion of its phosphate deposits but also because phosphate extraction activities had damaged the island’s arable land. In this context, one could argue that Nauru’s phosphate reserves had a negative value considering its considerable opportunity costs and if we discount the lost agricultural value. Nauru’s experience holds valuable lessons for governments today that are betting on the rising demand and value of their fossil fuels or critical minerals.

Productive Diversification as a Pathway to Climate Resilience

In light of the severe exposure to both climate and transition risks that some nations face, a radical shift is needed in terms of how we think about economic resilience in the twenty-first century. The global discourse remains dominated by an unhelpful dichotomy between climate adaptation and climate mitigation, with far less consideration for the core concept of climate resilience. Climate resilience has various definitions, but broadly entails the ability to anticipate, prepare for, and respond to hazardous events and trends related to climate, as well as to taking steps to better cope with – and avoid – new risks posed by climate change.Footnote 18 The absence of a coherent resilience paradigm (with shared definitions, problems, and methods) is a broader problem in economics and development studies as recently found in Reference ParkPark (2023). If the language of resilience is to advance collective prospects for development cooperation and climate action, then it will help to know precisely what we each are talking about (Reference ParkPark, 2023)).

In the context of climate change, the concept of resilience should cut across both climate mitigation and adaptation. Mitigation is a historical responsibility for rich industrialised nations that have disproportionately emitted GHGs, while climate adaptation measures often focus on the symptoms of climate change without necessarily addressing the structural roots that make some communities vulnerable to climate change in the first place. A more sustainable response to the climate crisis would emphasise policy and financial support for productive diversification, climate-resilient crop production, and early integration in low-carbon technology value chains as key enablers of the development of resilient and dynamic economies. For all the reasons mentioned in this section, diversification strategies should be closely linked to a green structural transformation towards more sustainable production models in the long run to reduce the productive vulnerability to climate change and transition risks in resource-dependent countries. A wide range of new opportunities for green industrialisation exist. However, as the next section shows, those are mostly seized by a handful of industrialised economies, rather than countries that are the most exposed to climate and transition risks.

3 Industrial Opportunities Arising Out of Low-Carbon Transitions: Who Benefits?

Cui bono? (Who benefits?)

― Marcus Tullius Cicero, Roman statesman and orator

The Socio-Economic Benefits and Industrial Spillovers of Low-Carbon Transitions

The benefits of the low-carbon transition spread far beyond the environmental domain. This is embodied in the notion of co-benefits, which can shape public opinion by lowering trade-offs among the diverse set of societal goals, such as economic welfare and environmental sustainability (see Reference Anadon, Chan and HarleyAnadon et al., 2016; Reference Sovacool, Martiskainen, Hook and BakerSovacool et al., 2020). Beyond their effects on ecological sustainability, there are three main ways in which low-carbon technologies support economic welfare, which is further discussed in the following.

Firstly, clean energy technologies can help reduce the energy access gap for communities suffering from energy poverty. In Africa, close to 600 million people were still without access to electricity in 2018 (IEA, IRENA, UNSD, World Bank and WHO, 2021). This situation reinforces socio-economic inequalities and impedes progress in widening access to basic health services, education, and modern machinery and technology (IRENA and AfDB, 2022). In Latin America, businesses suffer 2.8 electrical outages on average per month, and nearly 40 per cent of firms in the region have identified the power sector as a major constraint for developing its full potential (World Bank Enterprise Surveys, 2023). Power outages also tend to exacerbate inequalities, as low-income households tend to experience more blackouts and power surges than high-income households (Inter-American Development Bank, 2014).

Secondly, low-carbon technologies can have an important employment generation effect. For instance, investing in energy transition technologies creates close to three times more jobs than fossil fuels do per million dollars invested (Reference Garrett-PeltierGarrett-Peltier, 2017). Jobs in renewable energies have steadily increased over the past decade to reach 12.7 million in 2021 and could reach 38 million jobs by 2030 under the 1.5 °C scenario (IRENA, 2021). In Latin America, while it is estimated that 360,000 jobs in fossil-fuel extraction and fossil-fuel-based electricity generation will be lost by 2030, the transition to a green economy can create as many as 15 million net new jobs in the region, especially in solar and wind power (Reference Saget, Vogt-Schilb and LuuSaget et al., 2020).

Lastly, the expansion of low-carbon technologies also generates opportunities for industrial development, which matters because manufacturing is key to sustained economic development (Reference ChangChang, 1994; Reference KaldorKaldor, 1967). As of 2021, Africa’s average manufacturing value-added per capita (of about USD 207) was eight times lower than the world average (USD 1,683), because Africa’s economic growth and employment generation have relied heavily on low-value-added sectors, such as raw commodity exports (Reference Chang, Hauge and IrfanChang et al., 2016; ILO, 2019). To avoid replicating patterns of commodity dependence in the context of low-carbon transitions, developing countries can attempt to integrate higher value-added segments of low-carbon technology value chains (whether upstream or downstream), rather than sticking to the provision of raw materials and low value-added installation and maintenance activities. For instance, developing countries could take advantage of cheap and clean energy sources not only to decarbonise electricity generation but also as feedstock to attract investments in value-added energy-intensive services and manufacturing. However, as we will see in what follows, most of the industrial opportunities arising out of low-carbon transition have been captured by a handful of already industrialised economies, which evidences the reproduction of core/periphery relations and the contemporary relevance of the dependency theory (Kvangraven, 2021).

The Uneven Industrial Geography of Global Decarbonisation

The economic benefits of low-carbon transitions may be vast, but who is capturing those benefits? By analysing employment, innovation, and export data, this section provides evidence of the extent to which the industrial geography of global decarbonisation is highly concentrated and shows that the communities that are most vulnerable economically to climate change and transition risks are not those where green industrial activities are taking place.

Jobs

The employment landscape in the renewable energy sector is concentrated in a handful of countries. Over 42 per cent of renewable energy jobs are in China, followed by the EU, Brazil, the USA, and India, which altogether account for three-quarters of renewable energy jobs. Meanwhile, the entire African continent has only captured about 2.4 per cent of jobs created in the sector globally, as shown in Figure 3. In Latin America, excluding Brazil, less than 500,000 jobs have been created in the sector to date (IRENA, 2020).

Figure 3 Global (uneven) distribution of jobs created in renewable energies

Source: Author’s elaboration using data from the World Bank, IRENA, and UN Comtrade

Besides the quantity of jobs created, there is also the matter of the quality of job gains that arise from the energy transition, where we can observe further unevenness. Decent jobs, that is, with good wages and safe work conditions, are necessary to ensure a just transition. However, most of the jobs created in Brazil, for instance, are in sugarcane plantations for biofuel production and in construction, operations, and maintenance activities, which tend to be temporary, low-paid, and low-skilled (Reference HochstetlerHochstetler, 2020).

Furthermore, as also shown in Figure 3, most of the job creation in renewable energy sectors has not occurred in low-income and/or fossil-fuel-dependent countries, where renewable energy jobs are arguably most needed to ensure a just transition. Looking ahead, compensating for the expected job losses in the fossil-fuel sector implies that more needs to be done in those countries to capture the potential job gains in the renewable energy industry. Policies aimed at facilitating the reallocation and retraining of fossil-fuel workers in other activities with quality job gains deserve particular attention (see Section 4).

Innovation

The capacity to innovate matters for making the most of the energy transition as an industrial opportunity and as a source of value quality job creation. Innovation and R&D play an essential role in the development, adaptation, and deployment of renewable energy technologies (Reference Lema, Iizuka and WalzLema et al., 2015). Spillovers from low-carbon innovation are over 40 per cent greater than convention technologies in energy production and transportation sectors (Reference Dechezleprêtre, Martin and MohnenDechezlepretre et al., 2013). Here again, the low-carbon innovation landscape appears particularly concentrated. As shown in Figure 4, three-quarters of the patents in renewable energy technologies originate from only four countries (which are also among the countries with the largest employment generation in renewable energy sectors, see Figure 2).

Figure 4 Distribution of patents filed in renewable energy technologies, by country, in 2014

Source: IRENA database

This is not to say that some developing countries have not achieved key successes around low-carbon innovation.Footnote 19 Latin American countries have spearheaded several R&D activities around renewables, including the development of short-term forecast tools for wind generation, hydrokinetic turbines for use with marine currents, smart mini-grids for electrification of isolated and rural communities, and biofuel production from microalgae (IRENA, 2015). Among those, one case worth highlighting is the R&D efforts that underpinned the successful development of biofuels in Brazil, which turned Brazil into the second-largest producer of liquid biofuels for transport in the world. Brazil’s R&D capabilities around biofuels were supported by a range of governmental programmes (including the Network for Research and Technological Development on Biodiesel and the National Program of Production and Use of Biodiesel). Since 2006, Brazil’s state-owned oil company, Petrobras, has also played a key role in supporting the production of – and R&D around – biofuels through its subsidiary, Petrobras Biocombustível, which led several R&D initiatives, mobilising nineteen public agricultural research centres (Reference Nogueira and CapazNogueira and Capaz, 2013).Footnote 20

However, notwithstanding some sporadic successes, patents filed in low-carbon technologies and R&D shares around low-carbon technologies remain extremely low in developing countries, mirroring a larger trend across sectors. This is not only due to limited public R&D efforts but also to an inability to attract private spending on R&D. For instance, more than half of the existing R&D expenditure is financed through public funds in Latin America, where the share in Europe, the USA, and Canada tends to be lower than 35 per cent. In Argentina, Ecuador, Cuba, and Costa Rica, the share of public funding in R&D exceeds 70 per cent (IRENA, 2015).

Export markets

It is a well-accepted fact among development economists that the ability to export is a critical feature of economic development. In the context of global decarbonisation, the exports of carbon-intensive products will face increasing constraints, while considerable market opportunities arise for low-carbon technologies and environmental goods.

Similarly, to the job and innovation landscapes, the trade of low-carbon technologies is highly concentrated. Three countries (China, Germany, and the USA) account for almost half of all low-carbon technology exports (Figure 5). China’s performance has been spectacular in that regard. Since 2000, China has increased its low-carbon technology exports tenfold and positioned itself as the uncontested exporter of low-carbon technologies (see Figure 6). As the next section will show, this was in large part due to the use of green industrial policies.

Figure 5 Export market shares of low-carbon technology products (average 2019–2021)

Source: Author’s elaboration based on data provided by the IMF climate dataset

Figure 6 China’s ascension in terms of environmental goods exports, 2000–2021

Source: Author’s elaboration based on data provided by the IMF climate dataset

As shown in Figure 7, China’s dominance spans different low-carbon technologies, such as solar cells, electric batteries, and hydropower equipment, where it holds 41 per cent, 30 per cent, and 19 per cent of global export market shares, respectively (see Figure 8). Meanwhile, Denmark and Germany are the two leading wind equipment exporters. Together with the Netherlands and Spain, they accounted for more than three-quarters of global exports in 2020. In the biofuels sector, the USA is the leading exporter (24.1 per cent), followed by the Netherlands (13.2 per cent) and Brazil (11.8 per cent).

Figure 7 Export market shares of various low-carbon technologies by country in 2020

Source: Author’s elaboration based on multiple sources, including OEC, UN Comtrade, IMF Climate data monitor and EurObserver’ER, and ITC databases

Figure 8 Distribution of planned investments in announced hydrogen projects until 2030

The Reproduction of Technological and Trade Dependencies in the Hydrogen Sector

In recent years, hydrogen has received a surge in attention. An industrial gas used widely for more than a century, hydrogen has been historically produced using fossil-fuel-based energies. However, low-emission hydrogen can also be produced using renewable energies. Although it is still an emerging technology that bears risks and uncertainty, the so-called ‘green’ hydrogen is increasingly considered a critical enabler of global decarbonisation due to its versatility as an energy carrier and capacity to be used as a form of energy storage, thereby making energy systems more flexible and resilient. It also represents an interesting opportunity for developing countries: according to various studies, the areas where green hydrogen production costs could be the lowest (below USD 1.5/kg) are in Latin America (Northern Chile, Brazil, and Northern Mexico specifically), the Middle East and North Africa, as well as Southern Africa (see IEA, PWC, and McKinsey estimates).

However, there is a considerable risk that the hydrogen sector reproduces the patterns of commodity dependence that have prevailed with fossil fuels and mining. This is evidenced by the fact that most planned trade networks for hydrogen entail the export of hydrogen as a raw material from developing regions towards the EU and East Asia, where it can feed as an input into various industries and where value addition can take place (see IRENA, 2022). Furthermore, two-thirds of planned investments in announced hydrogen projects until 2030 (out of a total of USD 240 billion) are to take place in industrialised regions: Europe, North America, and East Asia. The picture becomes even more skewed in terms of the hydrogen investments that have already reached a final decision (about 10 per cent of them, representing about 22 billion USD), with over 85 per cent of those investments taking place in those regions (see Figure 8).

Breaking Out of Renewed Trade and Technological Dependencies

What can governments do to increase their country’s share of global low-carbon technology investments, jobs, innovation, and exports? The global low-carbon technology market is far from having reached saturation. It is estimated that by 2030, the market for low-carbon goods will be worth more than USD 1 trillion a year – an increase of seven to twelve times compared to today (Reference VieiraVieira, 2017).

As the global low-carbon economy increases, a radical policy shift is needed for developing countries to avoid being left – or even pushed – behind. Proactive public policies (and industrial policies in particular), which influence land, energy, capital, and labour costs are extremely important instruments in shaping the geography of low-carbon technology manufacturing supply chain (Reference HochstetlerHochstetler, 2020; Reference LebdiouiLebdioui, 2022a; US Department of Energy, 2022). Indeed, most countries that have become large exporters of low-carbon technologies are not necessarily the most endowed in terms of land and energy resources, nor do they have the lowest labour costs, but they have relied on proactive government interventions to develop the productive capabilities required to produce those goods. Understanding the policy tools underlying green economic transformation is the focus of the next section.

4 Governments as Referees and Head Coaches: The Political Economy of Green Industrial Policy

Free trade economists have to explain how free trade can explain the economic success of today’s rich countries, when it simply had not been practised very much before they became rich.

― Ha-Joon Chang

Greening Development with More Markets … or More State Interventions?

Despite the widespread consensus among economists that climate change is the biggest market failure that the world has seen (see Reference SternStern, 2007), a key source of contention is the degree of government intervention required to fix climate change and transition towards a low-carbon economy.

On the one hand, some economists advocate for market-based adjustments (such as carbon taxes, carbon permits, and tradable rights) over interventionist policies. Market-based mechanisms aim to increase the cost of products that rely on carbon-intensive production processes by manipulating prices and, according to their advocates, these mechanisms should create the space for entrepreneurs to develop lower carbon alternatives (see Reference WeitzmanWeitzman, 2007). According to Nobel laureate William Reference NordhausNordhaus (2007:29), ‘raising the price of carbon is a necessary and sufficient step for tackling global warming. The rest is largely fluff.’

On the other hand, others have argued that carbon taxes and other market-based solutions are far from sufficient, putting forward a range of reasons:

  1. (1) Carbon prices can be an ineffective signal for the uptake of unfamiliar technologies because of imperfect information. So far, carbon tax rates have been too low, do not internalise all externalities, and therefore do not correspond to the social cost of carbon, the estimation of which may vary considerably (Reference Semieniuk and YakovenkoSemieniuk and Yakovenko, 2020; Reference Smith and BraathenSmith and Braathen, 2015).

  2. (2) Even if the carbon price signal allows the market to adjust, pricing might not be sufficient to achieve on its own the scale and speed of decarbonisation required to stabilise global temperature at safe levels (Reference ZenghelisZenghelis, 2016).

  3. (3) While it is often assumed that carbon taxes are progressive because richer people consume more CO2 on average (Gore, 2020; Knight et al., 2017), carbon market-based mechanisms can have a deeply regressive and discriminatory effect on low-income groups in practice, while paradoxically potentially allowing others to maintain their carbon-intensive consumption patterns and lifestyle by ‘buying’ their right to pollute. This is especially the case when alternatives to carbon-intensive services are too costly or inconvenient (for instance, the cost and length of train journeys are often higher than flights to the same destination). By making carbon-intensive services more expensive in an indiscriminate manner – rather than making greener alternatives cheaper and more attractive by subsidising them – carbon taxes can be quite regressive.Footnote 21

  4. (4) Market-based mechanisms offer no guarantee that the socio-economic spillovers from green transitions will be localised where they are the most needed – that is, where communities are the most vulnerable to job losses due to decarbonisation, unemployment, and poor living conditions. Green transitions indeed provide an opportunity to diversify economies, but this requires appropriate policy interventions, especially considering the scale of investments that green activities need.Footnote 22

A growing body of literature is therefore advocating for stronger government interventions in the context of the green transition. The remainder of this section reviews some of the key arguments put forward in favour of green industrial policy, its shortcomings, political economy constraints, and critical factors of success.

New Paradigm for Industrial Policy in the Context of Climate Change

An industrial policy can be broadly defined as the strategic effort by the state to encourage the structural transformation of an economy to enhance efficiency, productivity growth, and competitiveness (Reference ChangChang, 2011). More specifically, it refers to ‘any type of selective government intervention or policy that attempts to alter the structure of production in favour of sectors [or activities] that are expected to offer better prospects for economic growth in a way that would not occur in the absence of such intervention in the market equilibrium’ (Reference Pack and SaggiPack and Saggi, 2006). Industrial policy can also be used to balance regional growth and assist workers to retrain or relocate, and consequently ‘defuse the resistance to economic change likely to come from those who would be the hardest hit’ (Reference ReichReich, 1982), which holds particular relevance in the context of low-carbon transition (Reference LebdiouiLebdioui, 2022a).

From the 1980s until the early 2020s, industrial policy had lost popularity due to the ideological dominance of free market economics, a selective interpretation of failures in various regions (especially in Africa and Latin America), and the implementation of structural adjustment programmes, which led to the minimisation of the role of the state and premature deindustrialisation in many cases (Reference AlbaladejoAlbaladejo, 2020). But the tide is turning: industrial policy has witnessed a revival in popularity around the world, based on an acknowledgment that they have been necessary ingredients of the acquisition of new comparative advantages in the past but also essential in seizing the so-called ‘green windows of opportunities’.Footnote 23 Even in nations such as the United States where the term industrial policy has been taboo in recent decades, there is now an explicit acknowledgement by the Biden administration of the need for an industrial policy to compete in low-carbon technologies. One could argue that industrial policy had never left (Mariana Mazzucato’s work shows how the United States has proactively stimulated industrial development through state interventions and a vertical R&D policy), but the change in the narrative is important and reveals how the sustainability agenda is shaping the legitimacy of state interventions.Footnote 24

Some of the key drivers for current comparative advantage, such as human, institutional, and technological capabilities, are policy-induced. Sector-neutral (also called horizontal) interventions to improve general education, infrastructure, and the business climate are important, but they rarely suffice to promote export diversification, which requires the use of (vertical) industrial policies (Reference Cherif and HasanovCherif and Hasanov, 2019; Reference LebdiouiLebdioui, 2019, Reference Lebdioui2020). Historically, governments have had a key role in the acquisition of new comparative advantages by catalysing targeted human capital accumulation; solving collective action problems in knowledge creation through R&D support; manipulating market signals through price control mechanisms; providing specific public goods such as infrastructure investment; and crowding-in private capital in strategic areas through national development banking and public venture capitalism (Reference AmsdenAmsden, 1989; Reference LebdiouiLebdioui, 2019, Reference Lebdioui2020; Reference MazzucatoMazzucato, 2016; Reference RodrikRodrik, 2004; Reference Wade, Gereffi and WymanWade, 1990).

In the context of green industrial policy, there are various instruments in the toolbox, both on the demand-side and supply-side (see Table 1). Those policies have been extensively used across the globe, but especially in the USA, China, the EU, and Brazil. China features one of the most remarkable cases of successful green industrial policy, enabling it to become the world’s largest exporter of low-carbon technologies, which include solar cells, electric batteries, and wind energy equipment. Green industrial policy in China has comprised a comprehensive set of tools (including R&D support, the establishment of national-level innovation centres focused on clean technologies and local content requirements) with effective coordination of demand-side and supply-side policies (Reference Lema and RubyLema and Ruby, 2006).

Table 1 The green industrial policy toolbox

Demand-sideSupply-side
•  Fiscal incentives for low-carbon technology consumption•  Fiscal incentives for low-carbon technology production
•  Public procurement•  Subsidised credit to firms (often through national development banks)
•  Environmental regulation and penalties•  Public financing for R&D support
•  Local content requirements (only effective in specific conditions)•  Public investment in related infrastructure
•  Import constraints•  Green skills development programme
•  Price control mechanisms•  Public provision of a clean electricity matrix to firms

Another instance of a successful green industrial policy is offered in the case of Brazil, where over 1.2 million renewable energy jobs have been created. The Brazilian National Development Bank has played a crucial role in financing the wind turbine manufacturing industry, providing loans and credit lines (at rates well below market levels) to incentivise value addition around renewable energy projects, especially for local wind turbine manufacturing, while imposing local content requirements (Reference HochstetlerHochstetler, 2020). The various local content requirements slowed the actual introduction of wind power until after 2009 but eventually contributed to a substantial national industry as they became ‘the most effective guarantor of ongoing localised production of electricity components’ (Reference HochstetlerHochstetler, 2020). Brazil has also established itself as a global leader in biofuel production, notably thanks to proactive R&D support and coordinated demand-side policies (Reference Szklo, Schaeffer, Schuller and ChandlerSzklo et al., 2005). In other parts of the world, to date, the use of green industrial policies has been more limited and much less effective. Understanding how to adapt green industrial policymaking to the context of latecomers therefore deserves much more emphasis, which is the focus on the following subsections of this section.

Not All Green Industrial Policies Are Ecologically Sound or Good Policy

Most successful instances of green industrial policy are found in countries with a very large population size (such as China, the USA, Brazil) that could rely on demand-side policies to generate economies of scale. The challenge for countries with smaller domestic market sizes is that they face different challenges, and therefore replicating the same green industrial policy tools that work somewhere else might not be advisable (see Section 6). For instance, on the African continent, most green industrial policy tools implemented to date consist of local content requirements in solar and wind energy projects (especially in Algeria, Nigeria, and South Africa).Footnote 25 However, especially in countries with a small domestic market, local content requirements rarely work on their own, and their poor implementation can reduce the attractiveness of investments in renewables, or even worse, they can increase the levelised cost of energy (LCOE), thereby reducing the cost competitiveness of downstream industries. In fact, to date, only two out of seventeen countries globally (namely China and Spain) that implemented local content requirements (LCRs) in the solar and wind sector managed to develop export-oriented sectors. To stand a chance, different green industrial policy tools (especially local content requirements) must be integrated into a wider strategic vision of industrial development, adapted to the existing domestic capacity, and oriented towards long-term competitiveness.

Some so-called ‘green’ industrial policies may also generate more environmental damage without proper environmental appraisal capabilities. A narrow focus on carbon footprint reduction by extracting more resources from our planet may lose track of the broader view on sustainability and ecology and may generate higher material pollution, or even biodiversity loss (Reference Chang, Lebdioui and AlbertoneChang, Lebdioui and Albertone, 2024). For instance, it would be unacceptable if scaling up mining to facilitate the low-carbon transition results in large environmental and social costs around mine sites and for local populations (Reference Addison, Addison and RoeAddison, 2018). Electric cars are the best example, given that their broadly ecological impact is not only determined by the source of energy in the electricity matrix their batteries are charged in but also their high material footprint given their very high consumption of lithium, copper, iron ore and other materials (see recent work contrasting lithium needs of electric cars and electric buses by Reference Riofrancos, Kendall and DayemoRiofrancos et al., 2023). Another example is provided by green hydrogen production, which may be an emissions-free energy carrier, but can be quite ‘un-ecological’ in some areas given its water-intensive production, potentially drawing scare water resources away from agriculture and other sources of livelihoods for local populations. Therefore, for green industrial policies that truly aim to support the transition to a healthier planet, governments must also build strong environmental appraisal capabilities to integrate life-cycle analysis of environmental impact in their green industrial policy design. Social impact appraisal capabilities can also help government assess the social benefits and cost analysis of their green industrial policies, paving the way for a socio-environmental approach that can be complemented by the use of conditionalities – standards and guardrails – that can be deployed through industrial policies to advance social welfare goals and the broader common good (Reference EstevezEstevez, 2023; Reference Mazzucato and RodrikMazzucato and Rodrik, 2023).

Aligning Industrial Policy within a Joined-Up Market-Shaping Policy Approach

The development of green industries has often been hindered by inconsistencies of objectives across various policy realms, as shown by a large body of literature on the importance of ‘policy mixes’, that is, the coherence, combination, and complementarity of various policy instruments to stimulate low-carbon transitions (e.g. Reference Bahn-Walkowiak and WiltsBahn-Walkowiak and Wilts, 2017; Reference Palage, Lundmark and SöderholmPalage et al., 2019; Reference Rogge, Kern and HowlettRogge et al., 2017). Green Industrial policies are more likely to be effective if they are part of a joined-up policy approach and careful coordination with energy, environmental, skills, labour market, and fiscal policies (see Table 2).

Table 2 Multidimensional and overlapping policy tools for green economic transformation

Industrial policyFiscal policySkills policy
PurposePromote the structural transformation of the economy in a way that promotes resilience to climate change and aligns with the market needs of a low-carbon global economy.Increase public financing and patient capital for transformative green projects, notably through coordination between central banking and national development banking.Support the acquisition of skills that are necessary to localising and creating green jobs, thereby improving readiness to seize economic opportunities arising from the green economy.
ChallengesRequire considerable institutional capacity to implement, as well as monitoring and evaluation mechanisms to uphold performance requirements and avoid elite capture.Fiscal constraints, particularly in developing countries facing significant debt servicing costs, may constrain the extent to which governments can employ fiscal policy to promote investments within the domestic economy.Need to be coordinated with industrial and social policies to avoid skill mismatches, which can damage productivity; and ensure that skills development also targets marginalised groups to help reduce inequalities.
Energy policyEnvironmental policyLabour market policy
PurposeProvide incentives, support for, and attract investments in the development and deployment of low-carbon energy technologies that underpin some types of green economic transformations.Besides aiming to improve environmental outcomes, environmental regulations (such as efficiency standards, or carbon taxes) can take the form of demand-side policies to help steer economic transformation towards specific activities and technologies.Avoid potential labour misalignments across time, space, and educational abilities to ensure that workers can adapt and transfer from areas of decreasing employment to new industries, notably through the provision of upskilling services.
ChallengesThough they can encourage local value addition, energy policies and renewable energy tenders that are not well designed, or include unrealistic requirements in terms of local content, can lead to slowing down renewable energy expansion, thereby slowing down the process of downstream industrialisation.If not coordinated within a broader economic and industrial strategy, environmental policies (such as the reduction of fossil-fuel subsidies) might generate additional costs to firms and consumers (and disproportionately affect lower-income groups) without helping foster local productive capabilities and productivity gains.Can provide challenging in contexts where the skills gap is too high between labour needs in areas of decreasing and increasing employment; where workers are not willing to relocated; and where fiscal constraints prevent the payments of benefits or employment subsidies for workers affected by low-carbon transitions.
Source: Author’s elaboration

The call for better coordination between related policies for green economic transformation should not stop at being an intellectual argument, as it also entails some changes in the organisational structure of governments. For instance, in contrast to conventional industrial policy, which has been historically led by a ministry of international trade and industry (the almighty MITI) in several countries, green economic transformations require coordination across a much larger variety of actors. The new set of institutional capabilities required for green economic transformation can include a coordinating body between the relevant ministries (finance, industry, trade, energy, environment, science and technology, education) as well as other entities, especially the central bank (Reference Dikau and VolzDikau and Volz, 2021), so that policies do not work at cross-purposes but instead amplify synergies.

As further explained in the following subsections, the value of a joined-up policy approach also derives from the need to address transversal challenges in the transition to a low-carbon economy, such as the social inclusion dimension of green industrial policy as well as the excessively high cost of capital for clean energy projects in developing countries.

Distributional Effects of Green Industrial Policy: ‘Escorting’ Versus Disciplining Approaches and Their Implications

How can we ensure that green economic transformations do not increase inequalities across income, gender, and ethnic lines within a country? Section 3 has focused on how decarbonisation stands to increase economic disparities between nations, but the industrial policy agenda, without proper safeguards, can also increase economic disparities within countries.

Economic transformations can indeed, at times, exacerbate inequalities, as evidenced by the case of Costa Rica. Notwithstanding the positive impact of Costa Rica’s export sophistication for poverty reduction (see Reference Franzoni and AncocheaFranzoni and Ancochea, 2013), it also led to wage disparities between skilled workers in the industrial clusters located in the centre of the country, and unskilled workers and those living in coastal areas that have not been able to benefit as much from the emerging high-tech manufacturing sectors (Reference Ferreira, Fuentes and FerreiraFerreira et al., 2017). Such an experience forms the basis of valuable policy lessons for countries aiming to promote socially inclusive green industrialisation, especially regarding the need to recognise that green industrial opportunities are not neutral regarding domestic winners and losers, and the need to coordinate industrial policies with social, skills development and labour market policies to tackle skills gaps and mismatchesFootnote 26 that hinder marginalised groups.

First, an inclusive green economic transformation implies that workers can adapt and transfer from areas of decreasing employment to other industries, notably by acquiring green skills, which are needed to adapt and develop products, services, and processes to support a sustainable and resource-efficient society. To be most effective, green skills development needs to be integrated into the wider training and skills development policy rather than being seen as additional or separate from other forms of skills development (IRENA, 2021). In conjunction with green skills development policies, labour market policies are also needed to avoid potential misalignments, such as: (i) temporal misalignments when job losses precede job gains at a larger scale (e.g. closure of a coal plant preceding new activities in renewable energy); (ii) spatial misalignments, when new jobs are emerging in communities or regions other than those that lose jobs; (iii) and educational misalignments (also called skill mismatches), when the skill levels or the occupations required under the energy transition were not developed or needed under the previous energy system (see IRENA, 2022). For instance, in Chile, even though replacing coal with renewable power would create between 2,000 and 8,000 net jobs by 2030, the communities where coal power plants are located (and where coal power represents 7.1 per cent of employment) will still be negatively affected because there are no guarantees that workers will be able to get the jobs created in renewable energy sectors (Reference Vogt-Schilb and FengVogt-Schilb and Feng, 2019). In those cases, labour market policies will be essential to reduce popular resistance to low-carbon transition in communities depending on fossil-fuel extraction activities as a source of jobs.

Secondly, it must be recognised that some of the existing green industrial policies strategies leave ample opportunity for elite enrichment at the expense of workers. This is especially the case if industrial policies only consist in generous support and tax handouts for large corporations with little conditionality. The different approaches to green industrial policy based on their intended distributional impact and the interests they represent lead to a critical distinction between the developmental and the de-risking state, leading to ‘escorting’ versus ‘disciplining’ industrial policy. As governments aim to mobilise private finance for green development, Reference GaborGabor (2021) has raised the alarm regarding the dominance of the ‘de-risking’ agenda, in which the role of the state is predominantly to ‘escort’ private capital towards green investments. She explains that the de-risking state orients private capital into achieving public policy priorities by tinkering with risk/returns on private investments in sovereign bonds, currency, social infrastructure, and most recently, green industries, leading to a state–capital relationship where capital dominates (Reference GaborGabor, 2021; Reference Gabor2023). The EU Green Deal and the US Inflation Reduction Act (IRA) are both examples of de-risking strategies to generate elite support, whereas the state-directed approach in the CHIPS Act disciplines private capital into national security priorities for semiconductor manufacturing (Reference GaborGabor, 2023). Development by de-risking poses severe limitations as it is not embedded within an autonomous strategic vision of the state, thereby structurally weakening its ability to discipline private capital into pursuing green industrialisation while enabling the new green rules to be written by powerful investors and governments in the Global North (Reference Gabor and SyllaGabor and Sylla, 2023).

In many ways, this stands in contrast to the developmental state and the ability of the state to conduct market-shaping and market-creating policies (Reference MazzucatoMazzucato, 2016; Reference Perez, Jacobs and MazzucatoPerez, 2016). Drawing on the developmental state literature, we can draw valuable lessons on how to balance incentives and disciplinary measures (carrots and sticks) for industrial development from the East Asian miracle, which saw countries like South Korea, Taiwan, and Singapore rapidly transform into economic powerhouses. Because government support was contingent on performance, firms that failed to meet targets or lagged in productivity faced the withdrawal of state support or even penalties (Reference ChangChang, 2006; Reference HaugeHauge, 2020). It is generally acknowledged that conditionalities are important to the design of industrial policies and that their absence could hamper success or even worse, leading to parasitic relationships (Reference AmsdenAmsden, 1989; Reference MazzucatoMazzucato, 2016; Reference StudwellStudwell, 2013). This approach to industrial policy ensured competitiveness, deterred complacency, and consolidated the ‘embedded autonomy’ of the State (Reference EvansEvans, 1995)

In the context of today’s green industrial policy, emphasising the dual role of the state in not just escorting but also disciplining private capital is therefore essential to ensuring that green economic transformations do not only serve private interests but also development and social inclusion objectives. The discussion around the de-risking agenda also has relevance in understanding the nature of the policy responses to reduce the high cost of capital for renewable energy projects in developing countries, as further discussed next.

External Financing Hurdles and Constraints for Green Industrial Policies

The High Cost of Capital for Renewable Energy Projects as a Major Obstacle

Some of the most important pathways to green economic transformation (e.g. the low-carbon production of goods and services) rely on the local availability of clean energy sources. However, quite paradoxically, despite significant labour, land, and construction cost advantages, developing countries must often pay more for renewable energy projects than in Europe and North America (see Figure 9). In Africa, for instance, the cost of capital for renewable energy projects is even higher than for fossil-fuel investments and implies that the continent may miss out on 35 per cent additional green electricity production under a 2°C transition pathway (Reference Ameli, Dessens and WinningAmeli et al., 2021). This of course leads to distortions and lock-in into carbon-intensive economic pathways, while constraining the ability of low-income countries to seize some of the green windows of opportunities. The extent to which unequal access to financing can consolidate existing disparities in terms of energy access is well illustrated by the fact that in 2021, which had been a record year for global renewable energy investment (with around $420billion invested), renewable energy investment per capita was below $1 in sub-Saharan Africa, and over $100 in the USA, Canada, Japan, China, and the EU (see Figure 10). Indeed, while it is often assumed that renewable energy investments are first and foremost driven by natural conditions, it becomes evident that capital has not moved towards areas with the highest potential for renewable energy production, where they are the most needed (in terms of energy access gap), and that, in contrast to non-renewable resources, renewable energy investment is influenced by criteria that go beyond resource availability.Footnote 27

Figure 9 Weighted average cost of capital for solar PV projects at 2017 interest rates

Figure 10 Renewable energy investment per capita in 2021

Source: Based on Wood Mackenzie, BNEF, and IRENA data

There is an important debate on how to best lower the cost of capital for renewable energy projects in developing countries. Broadly speaking, the standard response has consisted of de-risking mechanisms, which can take two basic forms: measures that transfer risk (‘financial de-risking’) and measures that reduce risk (‘policy de-risking’). Financial de-risking implies reducing the financial impact of a negative event by transferring large portions of the impact to other parties (often public institutions and taxpayers), while policy de-risking entails removing barriers in the investment environment and improving local institutions (Reference SchmidtSchimdt, 2014). As further explained in the following, each of those policy mechanisms presents pros and cons, different political economy implications, with different winners and losers.

De-risking Mechanisms: The Standard Response Advocated by Private Capital and the Alternatives

Financial de-risking entails transferring investment risks to public actors (such as development banks) to provide investors with a stable and predictable revenue stream. These instruments can include public guarantees, risk insurance, long-term contracts with guaranteed prices for renewable energy production through feed-in tariffs, power purchase agreements, and public equity co-investments. Another form of financial de-risking consists in incentives that can help lower the upfront costs of green projects, thereby making them more attractive to investors and more likely to get financed on better terms. Those include tax credits, low-interest loans, grants, and subsidies, for instance.

Though they seem to be easy fixes to the problem of the cost of capital for renewables, solutions that focus on financial de-risking tend to overly favour the private investors while transferring risks to public institutions, and by extension, taxpayers. Despite their tremendous benefits, renewable energy projects are technologically complex, prone to technological obsolescence, require several years of development, multiple-party negotiations, as well as rely on complementary investment projects. Therefore, they can often fail and are not risk-free. For instance, in South Africa, nearly half of the projects awarded under the launch of South Africa’s renewable power purchase programme have failed (Reference MukherjeeMukherjee, 2023). By internalising too many of the risks in those projects, governments in developing countries essentially risk providing a handout to large investor groups, reaping little benefits in the long term.

This perspective also explains the downside of indexing renewable energy tariffs to a foreign currency (as suggested in Reference Nelson and ShrimaliNelson and Shrimali, 2014) as a way of reducing the currency risks that hinder renewable energy financing in some countries. While this solution might reassure foreign investors, the effects it can have on domestic consumers can be dramatic in case of currency depreciation. A more viable alternative is to strengthen domestic financial markets (both at the private sector and public financing levels) to avoid currency risks and provide capital for renewable energy projects. To that end, national development banks (but also sovereign wealth funds for countries that have them) can play a catalytic role, with the provision of loans with below-market interest rates to promote green projects with high multipliers effects and spillovers.

Governments can also reduce the cost of capital for renewable energy projects by increasing their cost competitiveness through capacity-building and streamlining bureaucratic and regulatory processes. Those measures can generate considerable time and cost savings, which can help reduce the overall renewable energy development costs and make them more attractive to investors. Those policies will be quite effective in countries where the cost of capital is driven by a poor domestic policy environment. Nevertheless, in contexts where the costs of debt are high, those interventions will have limited impact without complementary efforts to reduce the cost of borrowing, which is the issue discussed next.

Lowering the Cost of External Borrowing: The Strengths and Limits of Green Bonds and Multilateral Development Banks

In some countries, the cost of capital for renewable energy projects is largely influenced by the costs of debt. For instance, in India, the cost and terms of debt can add an astounding 24–32 per cent to the cost of utility-scale wind and solar PV projects (Reference Nelson and ShrimaliNelson and Shrimali, 2014). When domestic financing options are limited, there are various ways in which governments can secure foreign borrowing to finance renewable energy projects at a lower cost. For instance, governments can issue green bonds to raise capital for environmentally friendly projects at preferential rates. Since the issuance of the world’s first climate bond in 2007, green bonds have gained popularity and their issuance has surpassed USD 1 trillion in 2021. In high-income countries, green bonds might offer little usefulness given that the projects they finance could have been financed with or without such mechanisms. But in developing countries, green bonds can make a big difference in terms of borrowing costs.Footnote 28 Many studies have investigated the notion of such a ‘green premium’ (or ‘greenium’), but methodological heterogeneity among these studies has resulted in a lack of consensus over the size of such a premium. Some critics highlight that green bonds may suffer from higher transaction costs and lower liquidity compared to conventional bonds, potentially leading to higher borrowing costs for issuers and less attractive investment opportunities for investors (Reference MacAskill, Roca, Liu, Stewart and SahinMacAskill et al., 2021).

Governments can also turn towards international cooperation institutions such as international development banks, regional development banks, and other institutions that can help mobilise additional financing for renewable energy projects and reduce the cost of capital.Footnote 29 However, the existing lending from multilateral development banks is far from meeting needs. Furthermore, while there are calls for the World Bank to increase its lending to developing countries and widen its scope to climate change-related projects, the World Bank’s capital base is unlikely to expand. While in theory the World Bank’s total capital base is $298 billion, in practice only 6 per cent of it (roughly $19.2 billion) has been paid by donor countries and thus is available for lending (Reference UsmanUsman, 2023). This is why international financial institutions (IFIs) are increasingly looking to turn towards the aforementioned financial de-risking agenda, in which their funds are used to provide guarantees to private investors in renewable energy projects in developing countries.

In sum, the effectiveness of different policy solutions is conditioned by the local context and the specific drivers of the high cost of capital, which differ from country to country. It must be stressed that a long-term solution requires tackling the considerable disparity in the cost of external borrowing, which is currently three times higher for developing countries than for developed countries, and which goes beyond renewable energy projects (Reference Volz and AitkenVolz and Aitken, 2022).

Political Factors, Elite Bargains, and Institutional Constraints for Green Industrial Policy

The challenge of green economic transformation is not just economic, but first and foremost political. The economy operates within political and social structures that determine, in many ways, the ability to design and implement policies, and green industrial policies are no exception. Therefore, a key question we must ask is: why do some governments seek to build capabilities to foster green economic transformation while others do not? Is it due to a lack of policy awareness, or a perception that climate-related measures are not the responsibility of said country? Or is it the fact that greening development requires too much re-organisation of the so-called ‘political settlements’ (Reference KhanKhan, 2010)?

Several scholars have argued that a country’s decisions around energy transitions and/or green industrial policies are the product of active coalition building and struggle among three key sets of actors defending their interests: state actors, business associations and firms (whether they are agro-business lobbies, fossil-fuel companies, industrialists, or the banking sector), and civil society groups (see Reference Breetz, Mildenberger and StokesBreetz et al., 2018; Reference HessHess, 2018; Reference Hochstetler and ViolaHochstetler and Viola, 2012; Reference Newell and PatersonNewell and Paterson, 2010). However, the interests of different groups are not static across time and space. Most successful experiences of economic development are not necessarily ones where the economic elites had been pro-developmental from the start, but instead reflected the state’s ability to align different interests with the objectives of industrial policy, in line with the theory of embedded autonomy (Reference EvansEvans, 1995), which suggests that a developmental state needs to maintain a balance between autonomy from private interests and embeddedness in social coalitions with non-state actors. The aforementioned reasons therefore do not suffice in explaining why political and economic elites are at times able to strike new ‘development bargains’ (Reference DerconDercon, 2022) to align their interests towards a green transformation agenda.

Recognising that states pursue green economic transformation within different political economies, entailing different interests and costs, Reference HochstetlerHochstetler (2020) introduces four major potential political economy drivers behind low-carbon transitions:

  1. (1) Climate change mitigation (with diffuse collective interests in climate action and concentrated costs for fossil-fuel industries)

  2. (2) Industrial policy (with concentrated benefits from firms in renewable energy supply chains and diffuse interests for growth and industrialisation)

  3. (3) Increased energy distribution and access (with concentrated benefits for those without electricity)

  4. (4) Concentrated benefits for hosting communities

While climate change mitigation objectives are often invoked by governments to justify their green industrial strategies, they often do not explain why governments choose to tackle low-carbon transitions in a particular way, favouring some low-carbon technologies and activities over others (e.g. why the EU has lobbied against the inclusion of bicycles in environmental goods negotiations, as further explained in Section 6). In the case of Brazil, Reference HochstetlerHochstetler (2020) explains that climate action motivations do not suffice to explain the scale up of wind over solar energy, despite the country’s ideal conditions for the latter, and concludes that industrial policy and cost considerations are the political economies that best explain the different fates of wind and solar power in Brazil. More often than not, the political push for green economic transformations reflects geopolitical reasons and/or desire to seize industrial opportunities (e.g. China since the 2000s, and the EU and USA since Reference Hochstetler2020).

To better understand the various political economy dynamics that influence elite bargains, the buy-in for green industrial policy, and its broader success, the next paragraphs explore several factors, such as the time horizon of industrial policy planning, institutional layouts and constraints, as well as the influence of state–business relations.

Time Horizon for Industrial Policy Planning

A political vision will only take you so far if it is not sustained over time. The success of green industrial policies hinges on the stability of the political system and the long time horizon of policy planning, especially considering the long-term investments that green activities need. In democracies, ensuring policy continuity and long-term planning is a real challenge. If the political system allows for policy commitment across party colours (which is rare), it is easier for governments to implement long-term policies that favour green structural transformation. However, in the absence of such multi-partisan support, green economic policies can be easily overturned, leading to unstable energy and environmental politics that stunt the infant development of new industries. Recent history is filled with examples. In the United States, the Trump administration overturned several environmental commitments and measures adopted by the Obama administration, which reduced incentives towards greening industrial activities. In Brazil, the Bolsonaro administration incapacitated the government environmental agencies and scaled down public R&D support. Even in Sweden, which is normally considered a stable progressive country, the recent election of a right-wing government led to the reversal of several environmental commitments. The need to work across party lines is also well evidenced in the case of Chile, where, like many other Latin American nations, presidents are not allowed to seek consecutive re-election. This rule has important implications for the ability to engage in long-term industrial policymaking and led to the discontinuation of the industrial policy formulated by the first Bachelet administration (2006–2010) by the first Piñera government (2010–2014). The fear of ‘renewed discontinuation’ led to policy stagnation during the second Bachelet government (2014–2018), but also made the need to discuss industrial strategy across party lines more evident.

A useful case of long-term green policy vision is provided by China, which will be responsible for 60 per cent of new renewable capacity expected to become operational globally by 2028 (IEA, 2024). Starting almost from scratch in the early 2000s, it took less than a decade for China to become a superpower in the renewable energy industry. After its political leadership identified moving away from labour-intensive, resource-based, and energy-intensive industries as a strategic priority to circumvent the middle-income trap, green industrialisation has been a key part of the nation’s development strategy, notably through the government’s five-year plans (Reference Lema and RubyLema and Ruby, 2007).

China’s approach to green industrial policy offers valuable insights on the balancing of centralised long-term vision with localised short-term implementation. Most explanations of why China has been able to outcompete others in green industries emphasise its distinctive state-led model, involving active intervention by the central government regulators to create and protect the market (Chen and Lees, 2016; Reference Hochstetler and KostkaHochstetler and Kostka, 2015;Reference Shen and XieShen and Xie, 2017; Xu et al., 2010). China’s distinctive state-led model has led to a prevailing perception of ‘authoritarian environmentalism’, or ‘centralised authoritarianism’, characterised by top-down and non-participatory policy environment dominated by a powerful party-state (see Reference BeesonBeeson, 2010; Reference GilleyGilley, 2012; Reference Kostka, Mol, Kostka and MolKostka and Mol, 2017; Reference Liu, Zhang and BiLiu et al., 2012 ). However, other scholars highlight a more nuanced and complex reality in the ground with a mixture of authoritarian and liberal features, in light of elements of decentralisation and space for local governments to act as representatives of local interests, rather than as mere agents of the central government (see Reference LiLi, 2010; Reference LieberthalLieberthal, 1992; Reference LoLo 2015). The inability of the central government to control local governments and firms in several instances reveals a relatively high degree of local industrial and energy policy space and flexibility despite the overt authoritarian rule (Reference LoLo, 2015). Far from a logic of top-down centralised authoritarianism, Reference Shen and XieShen and Xie (2017) also highlight the political struggles among central ministries, local officers, and non-state actors in the design of green industrial policies. China’s case also features governance challenges, such as the high turnover of leading cadres at the local level which can hinder state-led green industrial policy, as suggested by Reference Eaton and KostkaEaton and Kostka (2014). This frequent turnover, through intended primarily to facilitate implementation by reducing coordination problems, also entails significant downsides to local leaders who, by changing office every three to four years, might be incentivised to adopt the path of least resistance with short time solutions over long-term transformative ones. Local government intervention can also at times run against the directives from the central government, as has been the case for the excessive provision of bank loans at local levels, which resulted in huge amounts of short‐term debt, which has turned into non‐performing loans (Reference Hochstetler and KostkaHochstetler and Kostka, 2015).

Despite these challenges and the fact that lessons may not be easily replicated in other institutional and political contexts, the key takeaway from China’s experience is the importance of the balance between the central government’s provision of long-term policy direction (‘where to go’) and the flexibility of local governments to design policies to deliver identified objectives (‘how to get there’). In some ways, China’s approach bears some resemblance to policymaking in federal systems (such as Malaysia) but also the EU, where a supranational body legislates on long-term targets while member states decide on the implementation strategies (though the EU has been far less successful at developing a regional green industrial policy, partly due to the resistance of some of the large member-states that seek to move faster on their own). The solutions that a country may find for integrating green industrial policy measures within a long-term vision vary based on the local institutional contexts, but what we can learn from different experiences is that they require active cooperation and coalition building with actors beyond the central government, such as opposition parties in some contexts or local governments in others.

Institutional Capabilities to Address Policy Implementation and Coordination Challenges

We have established that having a long-term policy vision plan is necessary, but, as Mauritian economist Isabelle Ramdoo once told me, ‘having too many visions can lead to hallucinations’, especially when implementation capacity is lacking. The number of governments that have announced green economic transformation plans in recent years is too large to keep track of, but the number that possesses the institutional capacity to implement these visions is far smaller.

Development planning capabilities are critical for the careful design of green economic strategies that have the best chance of generating buy-in, reorienting the incentives of powerful stakeholders, and also ensuring long-term policy continuity. As explained by former Malaysian Prime Minister Mahathir Mohamad:

Being methodical is the way to achieve success. […] Method involves a series of pre-determined orderly steps and procedures, planned and laid out so as to achieve a certain objective. The country’s development was being based on five-year plans, which enabled us to link the yearly budgets and give us a definite programme for five years. In addition, we had the long-term perspective of 10 years. The plans could not be segregated or kept apart from each other but had to be continuous so that each could coincide with the previous one.

Development planning and implementation require an effective bureaucracy (or plans to train public officials); necessary regulatory mechanisms (notably to enforce performance requirements); as well as financial and technical resources to implement, monitor, evaluate, and correct them if necessary. To avoid risks of elite capture and cronyism, which jeopardise the effectiveness of policy action and the state’s ‘embedded autonomy’, industrial policy must also be subjected to legislative oversight and transparency around the criteria used to favour some sectors and activities over others.

Another major institutional constraint in green industrial policymaking relates to the recurrent conflicting interests between energy and industrial policymakers. For example, policies focused on fast energy deployment might neglect local industrial linkages around renewable energy projects, and policies focusing on developing an industrial base around renewables could compromise energy price competitiveness and accessibility. Traditionally, the primary role of energy regulators is to oversee domestic power generation, transmission, and distribution, while the oversight over the manufacturing of renewable energy technologies has been a less common direct responsibility of energy regulators, with this mandate falling under broader industrial policy and trade policy in most countries. However, China presents an interesting case where green industrial policy has been achieved through a unique institutional configuration that allows for coherent coordination between various ministries and public agencies.

Interestingly, China no longer has a dedicated Ministry of Energy in the same way that most other countries have, as it was disbanded (five years after its creation in 1988) precisely because the portfolio of that ministry overlapped with other ministries. Instead, its energy sector and green industrial policies are governed and regulated by multiple government bodies and agencies, with responsibilities distributed across these different entities. Instead the mandate of energy regulators in China (such as the National Energy Commission) extends beyond traditional power generation to include aspects crucial to industrial policy, such as manufacturing capacity, technology advancement, subsidy schemes, and overseas projects (Reference Shen and XieShen and Xie, 2017). The National Energy Commission was established in 2010 as an interdepartmental coordinating agency of the State Council, which is chaired by the premier and which coordinates the overall energy policies and includes twenty-three members from other agencies such as environment, finance, central bank, and the National Development and Reform Commission. Furthermore, all these ‘central’ ministries have local offices to support their regulatory and planning activities related to renewable energies and green manufacturing.

Far from a logic of isomorphic mimicry (see Section 1), the governance structure of China’s energy and industrial policy has emerged rather organically to mitigate observed institutional conflicts over the past decade. In other countries, the decision-making processes and institutional capabilities for green industrial policy may differ significantly. For instance, many fossil-fuel producers have chosen to centralise decision-making ministries of energy, which can often lead to a disproportionate influence of the fossil-fuel incumbents over the clean energy/green industrial policy agenda. The Chinese model exemplifies a complex yet effective multi-ministry collaboration that has developed over time through institutional learning-by-doing, while other models might emphasise streamlined decision-making or integrated policy frameworks. The key lesson is that the institutional configurations must allow for policy coherence across different domains, but must evolve with the specific political, economic, and social contexts of each country to effectively drive green industrial policy. This is particularly important as countries are significantly more likely to introduce policies that require similar institutional capacity and policy know-how to policies they have previously introduced (Reference Hallegatte, Mealy, Ganslmeier and GodinhoHallegatte et al., 2024). Realistically, green industrial policies are therefore also more likely to succeed if tailored to existing and organically evolving institutional capacity.

Managing the Dynamics of State–Business Relations and Public Opinion

Differences in state–business relations contribute to explaining some of the observed green industrial policy trajectories across countries. For instance, while the USA, Brazil, and China have shared similar objectives in wind and solar power, China’s context of state corporatist state–business relations explains why state interventions were more far-reaching than the other two countries, with the state coordinating with state-owned banks, offering large financial and investment incentives to state-owned or state-connected enterprises (Reference Hochstetler and KostkaHochstetler and Kostka, 2015). By contrast, in Brazil, state support to promote local content around renewable energies have been shaped by a stronger preference for competitive auctions, stricter financing rules and public private partnerships (Reference Hochstetler and KostkaHochstetler and Kostka, 2015; Reference HochstetlerHochstetler, 2020). The Brazilian political economy under Lula and his successor Dilma Rousseff has been broadly pro‐business, focusing on public–private partnerships that worked well in the wind energy sector ( Reference HochstetlerHochstetler, 2020). This ‘soft’ approach to green industrial policy favoured carrots over sticks, in contrast to China where the government has had more political room for manoeuvre to adopt a ‘hard’ approach.

The United States offers a hybrid case, with a mostly soft approach that includes some elements of a hard approach, as it heavily relies on subsidies (mostly through tax credits to corporations investing in green industries) combined with more protectionist local-content requirements. This can be largely explained by the domestic political context, the needed support from congress, and also the institutional ability of the federal government to implement policies through the Internal Revenue Service rather than through local governments, as was the case in the Chinese context.

In parallel to state–business relations, the political economy of green industrial policy is also largely shaped by public opinion, especially because this agenda can often entail short-term costs, while the benefits are only realised in the medium or long term.Footnote 30 Policymakers are often tempted to pursue populist and short-term measures to gain support from communities that depend on fossil fuels as a source of jobs (such as coal miners). From a political standpoint, preserving the status quo often appears as an easier route for re-election rather than embarking on the challenging and lengthy task of reskilling and implementing labour market policies to reintegrate workers from the fossil-fuel industry into more dynamic and sustainable segments of the economy.

This is why a government’s ability to communicate with the wider electorate and provide a compelling justification for green economic transformation is essential. For instance, in the USA, the measures pursued as part of the IRA and the CHIPS Act under the Biden administration have been framed as a national security necessity to counter the threat of China’s technological dominance, rather than a climate-driven agenda. Such geopolitical framing enabled the bill to pass in congress and provided a justification for the programme. Paradoxically, but quite tellingly, despite Republican lawmakers’ opposition to the climate agenda, Republican congressional districts hosted over 80 per cent of investments in large-scale clean energy pledged in the two years after the passage of the IRA.

There is a large degree of interinfluence between state–business relations and public opinion. Public opinion can push businesses to adopt a green agenda, but businesses can also influence (and even distort) public perceptions of climate change and sustainability. For instance, in the early 2000s, in order to weaken policy reforms targeting the role of oil companies in climate change, British Petroleum promoted and successfully popularised the term ‘carbon footprint’ to shift attention away from energy companies and towards the ecological impact of individuals’ daily life activities and air travel (Reference KaufmanKaufman, 2020). Against this backdrop, enabling a transparent multi-stakeholder dialogue around green industrial policy is critical to balance different interests and generate grassroots support for long-term transformative projects.

In sum, the promotion of green economic transformation models calls for proactive and coherent state interventions. But while the literature on green industrial policy is moving towards quantitative evaluations of the effectiveness of different instruments, the extent to which state–business dynamics and institutional arrangements shape the feasibility of those different instruments reveals the usefulness of bringing the study of comparative environmental politics and state–business relations to the core of qualitative explanations of green industrial policy. Each country’s political, social and economic characteristics, such as the level of policy ambition, political leadership, the type and strength of domestic social coalitions, but also the starting composition of their productive structures, the size of the domestic market, and developmental needs deeply influence how policymakers choose to tackle this agenda, as well as its speed and scale. Researchers and policymakers may draw informative lessons from studying the experiences of developed economies (such as in the EU, Japan, South Korea, or the USA) and large developing economies (such as Brazil or China), but such experiences may not often be easily replicable.Footnote 31 Countries attempting to develop green industrial capabilities therefore need to adapt their green industrial policies to their own economic, political, and social context. In that spirit, the next section therefore explores how different pathways to green economic transformation exist based on different country contexts and starting points.

5 No Green Silver Bullets: Various Pathways to Green Industrialisation beyond Manufacturing

Those who doubt the potential dynamism of natural resources assume that there are truths about certain sectors that do not change over time.

― Carlota Perez

Overview: Green Industrialisation Is Not All About Manufacturing

Countries across the globe find themselves at different starting points and circumstances in terms of productive capabilities, resource endowment and geography. Manufacturing low-carbon technologies is an important pathway to green economic transformation, but it is not feasible for every nation, not least due to a fallacy of composition. This fallacy posits that if all countries attempt to industrialise simultaneously, global demand may not support such a rapid expansion of production, leading to reduced overall growth and development. This is particularly the case when countries try to industrialise through the same industries and producing the same goods.

With the increasing scepticism of the universal suitability of manufacturing to serve as the driver for economic transformation, several scholars have argued that the modern services sector can instead act as an engine of structural transformation, given that it features many characteristics historically associated with manufacturing, such as tradability, knowledge and technology spillovers (Reference Baldwin and ForslidBaldwin and Forslid, 2019; Reference GollinGollin, 2018; Reference Nayyar, Cruz and ZhuNayyar et al., 2018, Reference Nayyar, Hallward-Driemeier and Davies2021). The role of the service sector is also receiving increasing attention in the context of the transition to low-carbon economy. As the digital economy faces a sustainability challenge to reduce energy consumption and electronic waste of digital services, more opportunities for disruptive and skilled tradable green services are opening (including in terms of rental, repair and recycling services to guarantee product durability, see Perez, forthcoming). However, two points can be made. Firstly, Reference SenSen (2023) draws important distinction between business and non-business services, and shows that treating the service sector in a monolithic manner does not take into account the differences that different types of services play in structural transformation. Secondly, the extent to which countries can leapfrog to value-added business services without first establishing a domestic manufacturing base can be questioned, as historically, value-added services are ancillary to existing manufacturing activities (Reference ChangChang, 2006; Reference HaugeHauge, 2023).

This is why imported solutions do not often work, and nations should pursue development strategies that align with their contexts and priorities. A country’s unique assets, such as its natural resources, biodiversity, agricultural potential, existing productive capabilities, and domestic market size, largely influence the available pathways to development. To better illustrate the different varieties of green economic transformation that exist beyond traditional manufacturing-led industrialisation, this section examines different contexts and their implications for development strategies (including climate-smart agriculture in regions dominated by arable land, value-added nature-based services in biodiverse regions, fossil-fuel producers, and small nations/nations with a limited domestic market size).

Climate-Smart Agriculture and the ‘Industrialisation of Freshness’

In some countries, especially low-income ones, agriculture is the main pillar that sustains livelihoods but can also turn into the foundation for their future economic development. The role of agriculture for structural transformation has often been debated in the literature and is often misunderstood. On the one hand, a key insight from the structuralist school (and the Prebisch–Singer hypothesis in particular) is that the price of primary commodities relative to those of manufactured goods was bound to decline over time, dooming poor countries to poverty unless they industrialised (Reference PrebischPrebisch, 1950; Reference SingerSinger, 1950). Indeed, the share of agriculture in a country’s GDP and employment tends to decline with economic growth (Reference AndersonAnderson, 1987). But on the other hand, several agricultural economists have argued that agriculture is a catalyst for economic development (Reference Eicher and StaatzEicher and Staatz, 1998; Reference MellorMellor, 1995; Reference SchultzSchultz, 1968). In fact, as of 2019, the highest agricultural value-added per worker figures can be in industrialised countries such as the Netherlands, Canada, the USA, and Australia (World Bank, 2023).

These contrasting perspectives on the causal relationship between agriculture and the structural transformation of an economy are best explained by John Reference MellorMellor (1966): ‘The faster agriculture grows, the faster its relative size declines.’ Reference MellorMellor (1995) explained that the role that agriculture plays in the structural transformation of the economy is determined by several factors, including (i) how productivity is affected by technological change, (ii) how the increased income is spent, and (iii) what other sectors of the economy undergo expansion as a result of agricultural development and its linkages. Besides those three mechanisms, it can be argued that agriculture’s continued relevance for long-term development is also determined by a country’s ability to add value to its agricultural goods. Defining value-added agriculture is no easy task, as processing does not always equate value addition, and fresher products can be far more technologically sophisticated and generate higher returns than processed food (e.g. a fresh orange versus a carton of orange juice, or fresh fish versus canned fish). At the heart of this process is what Cramer and Sender (2019) call the industrialization of freshness’, which matters for developing countries because of the considerable scope for productivity growth, export revenue growth and employment creation.

However, the aforementioned mechanisms are now heavily threatened by climate change, given that some types of crops are profoundly vulnerable to climate change (see Section 2) and the fact that current agricultural practices also exacerbate climate change (about one-third of GHG emissions are generated from agriculture) (Reference RitchieRitchie, 2021). This is why climate-smart agricultural strategies emerge as an important agenda to help farmers protect their income and livelihoods while improving food security by enhancing the ability of agricultural systems to adapt and thrive under changing climatic conditions and reducing their environmental impact. Broadly speaking, we can understand climate-smart agriculture from a mitigation, an adaptation, and a productivity angle (Reference Palombi and SessaPalombi and Sessa, 2013). The last two angles are those that hold the most relevance from a development perspective. From the adaptation side, climate-smart agriculture consists in enhancing the resilience of agricultural systems to climate-related risks. For instance, the diversification towards climate-resilient crop varieties can help protect farmers’ livelihoods from climate risks and ensure food security. From a productivity-side, climate-smart agriculture entails sustainable intensification, which consists in increasing agricultural productivity (through sustainable land and water management practices such as precision agriculture, integrated nutrient management, intercropping, as well as circular economy practices) while minimising negative environmental impacts (Reference Campbell, Thornton, Zougmoré, Van Asten and LipperCampbell et al., 2014). For instance, studies have shown that Banana-coffee intercropping in East Africa helps reduce Arabica coffee’s vulnerability to higher temperatures by provide shade, but also reduces incidence of coffee leaf rust, leading to an increase in plot revenue by more than 50 per cent (Reference van Asten, Wairegi, Mukasa and UringiVan Asten et al., 2011). Improving resource reuse within agriculture production can also at times support product diversification and linkages towards other supply chains (intersectoral upgrading). For instance, improved cattle manure management by dairy farmers in Uruguay has led to the production of fertilisers and biogases that help generate higher revenues for farmers and productivity gains (Personal communication with Manuel Albaladejo, Head of UNIDO representative for Argentina, Chile, Uruguay and Paraguay, April 2021).

Another important question is that of the scope for state interventions in the process of climate-smart agriculture development. Valuable lessons can be drawn from the range of interventionist agricultural policies that were used in today’s rich countries, both in terms of inputs policy (i.e. land policy, knowledge policy, credit policy, and physical inputs policy) and outputs policy (measures intended to increase farm income stability and the measures intended to improve agricultural marketing and processing) (Reference ChangChang, 2009). The Brazilian experience in terms of climate smart agriculture also offers insightful lessons in terms of the role of policy instruments such as R&D policies and financial incentives. For instance, the Brazilian Agricultural Research Corporation (Embrapa) has been a critical public actor in the development of new crop varieties and farming techniques adapted to Brazil’s diverse agro-ecological zones, which has helped improve productivity, reduce the environmental impact of agriculture, and increase resilience to climate change (Reference Parente, Melo, Andrews, Kumaraswamy and VasconcelosParente et al., 2021). Other flagship programmes include the Amazon Fund (launched in 2008) and Low-Carbon Agriculture Plan (launched in 2010), which included financial incentives for farmers to adopt practices such as integrated crop-livestock-forest systems, no-till farming, and the restoration of degraded pastures. Notwithstanding remaining challenges, Brazil’s experience around climate-resilient agriculture bears high relevance that could form the basis of policy lessons for nations aiming to increase the resilience of their agriculture or diversify towards climate-resilient crops as part of a green economic transformation strategy.

Biodiverse Nations: Varieties of Nature-Based Services and Their Development Impact

For biodiverse nations, greening economic development faces an additional important consideration: the preservation and maintenance of local natural ecosystems. This issue is particularly relevant in Latin America, Central Africa, and Southeast Asia, which contain most of the planet’s biodiversity hotspots. The interplay between a nation’s biodiversity and economic activity has historically tipped in favour of resource extraction. Nevertheless, there are several ways in which the conservation of a country’s biodiversity can support economic development, which explains the increasing attention devoted to bioeconomy strategies.Footnote 32 This section explores the extent to which different types of nature-based activities provide alternatives to deforestation and environmentally damaging extractive activities in regions seeking development while protecting their natural assets.

Market-Based Conservation Instruments and Their Limitations

Some nations are currently providing a range of ecosystem services (such as carbon storage, watershed protection, and conservation of fauna and flora) from which the whole world benefits and should compensate. In the past decades, several policy efforts were made to marketise and compensate for the protection of such valuable assets. For instance, Costa Rica’s pioneering Payments for Environmental Services Program (PES) is a financial mechanism whereby landowners receive direct payments for the ecological services that their lands produce when they adopt environmentally friendly land uses and forest management techniques (Reference Malavasi and KellenbergMalavasi and Kellenberg, 2002). The advantage of those programmes is also that they enable to remunerate communities involved in conservation in remote areas and who have access to limited occupational choices. However, there have been criticisms on the degree of environmental additionally of PES and warnings regarding over-relying on them (Reference Sierra and RussmanSierra and Russman, 2006; Reference Muradian, Arsel and PellegriniMuradian et al., 2013), Another concern is that PES mechanisms are often limited to national boundaries and local communities are not directly remunerated from the international community for this ‘tradable’ service. Linking this agenda with an international financing system is key to ensuring its long-term viability and environmental justice.

A similar logic applies to carbon markets: to be leveraged as a developmental strategy, carbon emissions trading systems need to cut across country boundaries to provide foreign exchange revenues to compensate for ecosystem services from international trade partners – rather than local actors exclusively. This agenda is of particular relevance for carbon-negative countries (namely Bhutan, Panama, and Suriname), where monetising ecosystem services represents a low-hanging fruit, as it requires relatively low financial investment while creating jobs and providing revenues in remote rural areas without compromising the national ecological agenda. However, considerable diplomatic policy efforts are required for the development of international carbon trading systems, and to ensure that associated revenues provide opportunities for sustainable development rather than turning recipients into rentier states.

In that perspective, the REDD+ programme provides valuable lessons. Developed by Parties to the United Nations Framework Convention on Climate Change (UNFCCC), it aimed to provide finance for developing countries to contribute to climate change mitigation efforts in the forest sector. However, the programme has had mixed results and faced several criticisms (Reference Massarella, Sallu, Ensor and MarchantMassarella et al., 2018). One of the common issues relates to the size of the financial investments, which has been found to be below what is needed to dis-incentivise local communities from pursuing timber mining and other environmentally damaging activities (Reference Overman, Cummings, Luzar and FragosoOverman et al., 2019). Other criticisms have been made both in terms of its environmental impact (especially in terms of carbon leakage) and its social impact (with issues of land grabbing by wealthy groups to reap REDD+ funding at the expense of indigenous communities), which has put into question the continuation of the programme and market-based conservation instruments more broadly (see Reference Fletcher, Dressler, Büscher and AndersonFletcher et al., 2016; Reference Overman, Cummings, Luzar and FragosoOverman et al., 2019).

The Limits of Ecotourism as a Strategy for Conservation and Development

Ecotourism has also become increasingly popular across biodiverse nations as a way to promote environmentally friendly growth. It promotes responsible travel to natural areas while improving the well-being of local people. Ecotourism’s appeal rests in its potential to provide local economic benefits while maintaining ecological resource integrity through low-impact, non-consumptive resource use (Reference Stem, Lassoie, Lee and DeshlerStem et al., 2003). In many ways, nature-based tourism services can accelerate poverty alleviation, especially in remote areas where alternative sources of job creation are scarce while providing foreign exchange across several economic sectors, thereby supporting economic diversification (Reference HüblerHübler, 2019). For instance, in Latin America and the Caribbean, ecotourism generates around 3.5 million jobs, which is about 1.5 per cent of total employment (Reference Saget, Vogt-Schilb and LuuSaget et al., 2020).

Nevertheless, overreliance on ecotourism has also often posed important environmental and developmental risks. Ecotourism cannot be viewed as a benign, non-consumptive use of natural resources in biodiverse nations because scale influences tourism’s negative impacts, and where ecotourism dominates local economies, towns may become economically vulnerable (Reference Jacobson and LopezJacobson and Lopez, 1994). Besides offering limited prospects for quality job creation and economic upgrading (Reference LebdiouiLebdioui, 2022b), nature-based tourism activities are also likely to be most affected by climate change. For example, the 2017 hurricane season resulted in an estimated loss of more than 800,000 visitors to the Caribbean, which would have generated USD million for the region and supported about 11,000 jobs (Reference Saget, Vogt-Schilb and LuuSaget et al., 2020)

In Costa Rica and Ecuador, for instance, where ecotourism has gained prominence as a strategy to align both conservation and development, assessments of its impact have been mixed. On the one hand, some existing assessments reveal that the tourism industry tends to provide jobs with higher salaries, including for young people and women with children (Reference Hunt, Durham, Driscoll and HoneyHunt et al., 2015). On the other hand, some negative impacts of the ecotourism industry including solid waste generation, air pollution, habitat destruction, sociocultural ills, as well as overdependence of fiscal revenues on external shocks affect ecotourism (Reference Koens, Dieperink and MirandaKoens et al., 2009; Reference LebdiouiLebdioui, 2022b; Reference Stem, Lassoie, Lee and DeshlerStem et al., 2003).

As a result, notwithstanding the benefits that ecotourism can provide on a limited scale, identifying alternative ways to capture the developmental value of biodiversity to complement – and at times supplement – ecotourism is critical in biodiverse nations aiming to promote conservation.

Biodiversity-Based Innovation Ecosystems: Overcoming the Northern Exploitation of Southern Biodiversity

Several economists have described the R&D process as one of information utilisation, application, and diffusion (e.g. Reference Arrow and RowleyArrow, 1972) and dependent upon a stock of ‘information’ for its generation of useful innovations (Reference StonemanStoneman, 1983). Natural ecosystems also hold considerable value as a source of information that can feed into innovation processes (see Reference Pearce and PearcePearce and Pearce, 2001; Reference Simpson, Sedjo and ReidSimpson et al., 1996; Reference SwansonSwanson, 1996). As illustrated in Figure 11, there are two main ways in which the conservation of biodiversity holds value for innovation processes: as a provider of genetic material, through a process known as bioprospecting; as a source of inspiration for innovation, through a process known as biomimicry.

Figure 11 The value of biodiversity as an input into R&D processes

Source: Lebdioui (2022)

Northern-based industries heavily rely on southern-based biodiversity for R&D processes in various industries (Reference SwansonSwanson, 1996). However, the informational value of biodiversity has often been extracted by foreign firms without recognition or compensation, which has given rise to an astonishing number of biopiracy cases in developing nations. Meanwhile, the biodiversity-based innovation sector has so far remained at an embryonic stage across biodiverse developing nations. There have been laudable efforts to leverage the innovation value of biodiversity, but those have mostly been limited to bioprospecting, which can be defined as a systematic and organised search for useful products derived from bioresources including plants, microorganisms, animals, and so on, which can be developed further for commercialisation and overall benefits of the society (Reference Oyemitan and KueteOyemitan, 2017). The most well-known initiative took place in the 1990s in Costa Rica, with the creation of the National Biodiversity Institute (InBio), which worked under the premise that a country will be able to conserve a major portion of its wild biodiversity if this biodiversity generates enough intellectual and economic benefits to make up for its maintenance (Reference Mateo, Nader and TamayoMateo et al., 2001). Nevertheless, serious doubts have been raised regarding the relative economic and developmental benefits of bioprospecting. This is well illustrated by some of the celebrated deals between InBio and foreign pharmaceutical companies, in which the royalties to be earned by Costa Rica should commercial drugs be developed are believed to be less than USD 1.1 million (Reference Barrett and LybbertBarrett and Lybbert, 2000). As a result, after three decades of activity, InBio ceased to operate due to the dried-up funding sources – 80 per cent of which came from the international community – and its inability to become financially sustainable.Footnote 33

In contrast to using nature for extracting genetic material, biomimicry involves learning from and emulating biological forms, processes, and ecosystems tested by the environment and refined through evolution (Reference BenyusBenyus, 1997). It marks a radical shift from the Industrial Revolution, which was ‘an era based on what we can extract from nature’ (Reference BenyusBenyus, 1997), but it also helps overcome the scalability problem that often hinders nature-based solutions that require the availability of primary material extracted from nature (e.g. volcanic rocks for carbon capture).Footnote 34 The field of biomimicry has been booming with a twelvefold increase in biomimicry patents and research grants over the past twenty years (see Fermanian Business & Economic Institute, 2020) and offers interesting prospects for leveraging local biodiversity as a factor endowment for innovation to ‘leapfrog’ towards high value-added sectors. However, very few public policies support its development in the developing world, which is paradoxical given that this is where most of the world’s biodiversity is. As a result, the benefits of the biodiversity-based innovation sector (in terms of job gains and value creation) have mostly been captured by a handful of high-income industrialised economies in the Global North (Germany, South Korea, the United States, as well as France) where a range of publicly funded R&D programmes and grants have been implemented (see Reference LebdiouiLebdioui, 2022b).

Governments have a critical role to play in encouraging the transition towards knowledge-intensive biodiversity-based activities beyond mere rent maximisation from resource exploitation, in line with the theoretical insights from the literature on national innovation ecosystems (Reference LeeLee, 2013; Reference LundvallLundvall, 2016; Reference MalerbaMalerba, 2002; Reference Nelson and WinterNelson and Winter, 1982). Policy interventions in the biodiversity-based innovation sector are indeed justified given the existence of market imperfections and coordination failures (Reference LebdiouiLebdioui, 2022b). Those include financing for physical, digital, and legal infrastructure to provide agents with more opportunities for both strategic and serendipitous nature-based innovation (i.e. through the creation of ‘eco-labs’ in biodiverse areas and digital repositories); streamlining of administrative processes for research permits to study biodiversity; and the promotion of integral and interdisciplinary education programmes in bio-innovation processes. Unlike many other ‘traditional’ sectors, biomimicry heavily relies on a strategy mix of skills (such as biological knowledge but also chemistry, design, and engineering skills) to abstract biological strategies into applicable design to solve human challenges (Reference Kennedy, Fecheyr-Lippens, Hsiung, Niewiarowski and KolodziejKennedy et al., 2015), and which the standard curriculums generally do not provide.

The Context of Fossil-Fuel Producers: Repurposing Capabilities for Green Diversification

Fossil-fuel producers are facing the headwinds of the global decarbonisation agenda, but this does not mean that they are condemned to be the losers of the global energy transition. To meet their dual energy transition and economic diversification needs, fossil-fuel-dependent economies may not necessarily need to ignore their non-renewable resources as they can leverage them towards green economic transformation. This may sound counterintuitive, but fossil-fuel producers have acquired productive capabilities that can be repurposed in a wide range of green industrial sectors, especially with the help of the right policy tools. Here, I want to discuss three main stages (which we identify in Al Saffar and Lebdioui, forthcoming) that underpin developmental green economic diversification from the perspective of fossil-fuel-producing countries.

Stage 1: Energy Efficiency and Clean Energy Deployment as Fossil-Fuel Rent Maximisation Measures (Without Having to Extract More Fossil Fuels)

Many fossil-fuel-producing developing economies that have resisted the deployment of clean energies are consuming an increasingly large share of their fossil-fuel production, limiting their export capacity and associated rents. This is particularly relevant in the MENA region where oil and gas account for almost 95 per cent of electricity generation and where thermal plants consume more than one-third of gas production (Reference Al Saffar and WannerAl Saffar and Wanner, 2022). Indonesia provides a cautionary tale: because of a surge in its domestic oil consumption, and though it is among the twenty-five largest oil producers worldwide, Indonesia became a net oil importer in 2004, which prompted its exit from the Organization of the Petroleum Exporting Countries .

In such contexts, deploying clean energies and improving energy efficiency (through the use of more efficient gas turbines, or by reducing gas flaring, for instance) can help reduce domestic oil and gas consumption, and therefore free up more fossil-fuel resources for exports (without the additional risk of stranded assets associated with upstream investment). This strategy represents a low-hanging fruit to generate more capital that can be invested for diversification in fossil-fuel-dependent economies, without even requiring an increase in fossil-fuel production.

Stage 2: Reinvesting Rents Towards New Productive Capabilities to Break the Rentier Model

Fossil-fuel producers, particularly those with high fossil-fuel rents per capita, generally have access to greater financial resources compared to resource-poor countries, which could, in theory, help them finance productive investments for climate-resilient economic diversification and overcome hurdles such as the high cost of capital for clean energy investment. However, the decision to invest in green industrialisation is influenced by a combination of factors that go beyond fiscal capacity alone, and include political will, strategic foresight, external pressures, as well as institutional capabilities for domestic investments.

In that sense, the standard policy advice of resource wealth management, which has been dominated by a short-term fiscal stabilisation agenda, will not suffice in the face of the pressing need for economic diversification (Reference Chang and LebdiouiChang and Lebdioui, 2020). To stimulate a long-term, climate-resilient structural transformation that also reduces exposure to transition risks, resource revenue management strategies need to tackle the root causes of fossil-fuel dependence (insufficiently diversified productive structures) rather than solely addressing its symptoms (e.g. vulnerability to commodity price volatility). Therefore, rather than solely sticking to investing fossil-fuel rents in a fiscal stabilisation fund, policymakers may find it more effective to capitalise sovereign development funds or a national development bank, provided they have clear mandates, strong governance, legislative oversight, and – not least – proper investment analysis, monitoring, and evaluation (Reference Addison and LebdiouiAddison and Lebdioui, 2022).

Though economically sensible, the idea of reinvesting fossil-fuel rents for green economic transformation is paved with several political challenges, including resistance from powerful elites that have a vested interest in maintaining the status quo, and institutional inertia, which explains why countries might not have managed to diversify in the first place. A productive management of resource rent can be quite politically challenging as it disrupts the traditional dynamics of the rentier state model. For instance, in most of the MENA region, the political economy of oil rents has been characterised by weak productive constituencies and institutional arrangements entirely predicated on the uninterrupted flow of oil rents rather than resilient governance mechanisms (Reference Malik, Mohaddes, Nugent and SelimMalik, 2019). Reinvesting fossil-fuel rents therefore requires new elite bargains and carefully crafted incentives for fossil-fuel actors by making alternatives more viable and competitive, as well as an acute understanding of the role that they can play in the transition, which relates to the stage 3 strategy.

Stage 3: Repurposing Transversal Capabilities in Oil and Gas Extraction Towards Clean Energy Supply Chain Integration

Throughout history, nations and firms have kept up with technological disruptions by repurposing their capabilities transversally, from Nokia repurposing its logging industry expertise towards telecommunications; Slack Technologies leveraging the internal communication platform they developed while in the gaming industry to enter the business communication industry; or 3 M evolving from a small-scale mining venture to a highly diversified conglomerate with innovative products such as Post-it Notes and Scotch tape. The technological linkages between different products might not always be obvious. For instance, producing rifles creates a capacity for producing other things such as sewing machines, bicycles, and automobiles (Reference RosenbergRosenberg, 1976).

In the fossil-fuel sector, the ability to leverage transversal capabilities bears considerable implications for economic diversification and macroeconomic resilience. For instance, in Malaysia, several suppliers in the oil and gas sector have managed to acquire transversal skills that contributed to sectors beyond the petroleum industry.Footnote 35 Such transversal skills have proven particularly useful after the collapse in oil prices in 2014, which incentivised Malaysian suppliers to mitigate their reliance on the broader fossil-fuel sector (Reference LebdiouiLebdioui, 2019). In the context of the dual challenge of diversification and energy transition, a repurposing agenda entails the exploitation of existing knowledge, infrastructure, and technologies involved in fossil-fuel production towards integrating value chains that are central to the green economy. At the corporate level, many oil and gas companies have already started to reposition themselves to take advantage of new opportunities arising out of the low-carbon economy, both to improve their financial resilience and corporate image.

Analysing how those businesses have started to repurpose some of their in-house capabilities towards clean energy operations, it is possible to identify a range of technological, organisational and infrastructure linkages between petroleum extraction and clean energy production (see Lebdioui and Bilek, forthcoming). To name a few examples, activities such as chemical and temperature engineering services can be easily repurposed towards green hydrogen production, oil and gas reservoirs can be reconverted for carbon storage, and the construction and maintenance of offshore oil platforms involve a range of technological capabilities that can serve the construction of offshore wind platforms, while petroleum refineries can be repurposed as biofuel refineries (Lebdioui and Bilek, forthcoming).

However, not all activities have the same scope for repurposing. For instance, capabilities such as drilling expertise and equipment do not offer great degrees of linkages with clean energy production, implying that workers with those skills will require considerable retraining as part of a low-carbon energy future, making the role of reskilling and labour market policy interventions particularly important. Promoting a socially inclusive repurposing of capabilities from fossil fuels to hydrogen supply chains development requires a multi-dimensional and proactive policy approach, along with careful coordination of energy policy, fiscal policy, industrial policy, skills development policy, as well as labour market policy. Policymakers may find it useful to create a national agency with a skills repurposing mission and retraining capacity to help acquire the skills and know-how required for local integration in different green industries, and the creation of a national readiness framework in the context of the energy transition.

Though they refer to very distinct processes and policy strategies, the three stages are mutually reinforcing. However, the combination, sequencing, and scale at which those pathways can be pursued differs from country to country depending on the local context.

Size and Neighbourhood Matters: Economies of Scale, Market Piggybacking, and Supply Chain Regionalisation

Not all countries can achieve green industrialisation through demand-led growth. To date, some of the most successful adopters of green industrial opportunities have been extremely large economies (in terms of domestic market size), such as China, the USA, Brazil, the EU, and India. In smaller economies where the domestic market demand is often not large enough to reach economies of scale, green economic transformation requires access to another country’s larger market demand, but also multilateral coordination towards regional developmentalism.

The idea of ‘piggy-backing’ on a larger and/or more economically prosperous neighbouring country’s demand as an industrial development strategy is not new: Vietnam, Poland, and Mexico have provided useful cases over the past few decades.Footnote 36 It is also in that perspective that Mexico stands to benefit from the recent low-carbon technology market push in the United States. The IRA, which took effect in 2022, provides generous tax credits for electric vehicles sold in the United States and mandates that a certain percentage of the battery components be assembled or manufactured in North America (or countries with whom the USA has a free trade agreement). Such policies have already led to new investments in Mexico, whose ability to benefit from the IRA is not only a function of geographic proximity but also the market access allowed by the United States-Mexico-Canada Agreement, the presence of low-wage skilled labour as well as domestic capabilities to attract investments in low-carbon technology supply chains (especially in the automotive sector). The ability to tap into another country’s market is indeed conditioned by several factors (including signed trade agreements, domestic capabilities, geographic proximity, and transportation costs). But in the long term, a country’s success in seizing opportunities stemming from another country’s market demand also hinges on the use of industrial policies to improve supply-side industrial capabilities, such as the development of a skilled local workforce capable of engaging in high-value-added industries to move beyond the mere assembly and processing activities, and implementing improvements in logistics and infrastructure (both digital and physical) that are essential to attracting investments in high value-added industries.

However, this strategy is not without its risks. Heavy dependence on a single market can expose a country to economic vulnerabilities if there’s a downturn or radical policy change in the larger country. Diplomatic tensions can also affect the ability of a country to rely on another country’s demand as an engine of growth. Market diversification and strategic planning are essential to mitigate these risks. It is also crucial to ensure that this strategy aligns with the long-term domestic developmental goals, rather than locking countries in unsustainable development routes (e.g. water-intensive industrial or agricultural production in areas at high risk of water stress to cater to external demand, such as avocado production in Chile or green hydrogen production in North Africa). Furthermore, not all nations have access to large neighbouring markets to bolster their green economic transformation (for instance, most Central and Latin American nations do not benefit from the same conditions as Mexico in terms of privileged and low-cost access to the vast U.S. market). Recent evidence reveals that, except in Mexico, limited nearshoring to the region has taken place so far (Reference Pietrobelli and SeriPietrobelli and Seri, 2023). Countries surrounded by smaller economies therefore face a collective demand-side challenge. In regions like Africa, the Caribbean, and Central and South America, where individual markets may be limited (except for Brazil), relying on external demand might not always be viable as a development strategy, and regional integration is critical to ensure the coordination and perennity of demand-side policies.Footnote 37

That said, regional integration is not an easy task (see Reference HeineHeine, 2012; Reference OcampoOcampo, 2006). Political and ideological differences, external influences, and gaps in physical infrastructure connectivity, as well as disparities in economic development levels among neighbouring countries, can generate resistance to regional integration. Latin America is a case in point, where the numerous efforts to promote regional integration have mostly failed in previous decades (Reference Merke, Stuenkel and FeldmannMerke et al., 2021). Despite these challenges, many regions around the world have successfully pursued various levels of integration (such as the EU, Association of Southeast Asian Nations (ASEAN), and the African Union, among others), which can serve as the basis for useful lessons. One of those is that regional integration is not just about trade but about increased social and economic development (Reference StiglitzStiglitz, 2016). For instance, an important step towards regional integration in Africa has been taken with the signing of the African Continental Free Trade Area (AfCFTA) in March 2018, but in many ways, the challenge of regionalising supply chains and increased demand-side coordination remains.

To understand the full scope of regional cooperation in the context of green economic transformation, it is useful to go beyond the linear approach to regional integration as developed by Reference VinerViner (1950), which consists of a trade liberalisation approach to integration whereby countries first adopt free trade areas, then customs unions, and then common markets. In contrast to the linear approach, several scholars have put forward the notion of ‘developmental regional integration’ (or at least different variations of the concept, see Reference Adejumobi, Kreiter, Adejumobi and ObiAdejumobi and Kreiter, 2020; Reference DaviesDavies, 1996; Reference IsmailIsmail, 2018; UNCTAD, 2013). This approach to regional integration emphasises macro- and micro-coordination in a multi-sectoral programme embracing production, infrastructure, and trade, notably to build regional value chains that can foster industrial transformation, especially for small economies (Reference DaviesDavies, 1996; Reference IsmailIsmail, 2018). Adopting a ‘developmental regionalist’ approach in the African context, Reference IsmailIsmail (2022) outlines how the AfCFTA can be implemented in a manner that supports the transformative industrialisation of Africa and facilitates a ‘climate-resilient developmental regionalism’.

Building on the idea of ‘climate-resilient developmental regionalism’, we can put forward different mechanisms that help coordinate demand-side and supply-side policies at the regional level. Besides the mere existence of regional free trade agreements, ‘climate-resilient developmental regionalism’ can take the form of regional strategies for specific low-carbon industries to help align demand-side policies to create larger and more stable regional market demand. On the supply-side, developmental regional integration mechanisms span a wide spectrum: from knowledge-sharing on critical material supplies and region-wide certification for low-carbon products to pooling limited R&D resources for joint innovation to shared challenges (such as high-altitude mining in the Andean region or developing solar plant equipment that is resilient to the Sahara’s extreme temperatures).

It is also worth highlighting that, besides building a larger common market, the potential of regional integration is more than the sum of its parts. This is why ‘green’ regional developmentalism is also based on the idea that neighbouring countries leverage their complementary assets (whether it is critical mineral abundance, manufacturing capacity, renewable energy potential, as well as proximity to important trade routes) to develop an efficient regional industrial ecosystem around climate-related technologies.

In practice, achieving green regional developmentalism remains paved with challenges, especially in terms of financing and political alignment (and particularly so in Africa and Latin America), but surmounting such challenges is necessary, given the significant development opportunities and challenges that arise in the twenty-first century for some of the world’s regions.

6 Kicking Away the ‘Green’ Ladder: Green Protectionism, Broken Pledges, and Double Trade Standards

The present approach towards the poor is very much tilted in favour of palliative economics […] alleviating the symptoms of poverty, rather than attacking its real causes. This creates a system of ‘welfare colonialism’ increasing the dependence of poor countries, thereby hindering, rather than promoting, long-term structural change.

― Erik Reinert

The Rise of Green Protectionism in Industrialised Nations

Climate change knows no borders. A few countries are disproportionately responsible for causing it by appropriating more than their fair share of the atmospheric commons, while those that suffer the worst consequences tend to be developing nations that contributed the least to climate change (Reference HickelHickel, 2020). However, as explained in Section 3, instead of honouring their climate responsibilities, the world’s major economies’ response to climate change has mostly consisted in providing a competitive advantage to domestic firms to capture the industrial benefits that arise from decarbonisation. The green resurgence of industrial policy, even in the United States, is motivated by the recognition that the low-carbon transition offers significant green windows of opportunity that must be seized by moving early (Reference Lema, Fu and RabellottiLema et al., 2020), but also by geostrategic interests to reduce China’s low-carbon technology dominance (White House, 2023).

The US is not alone in promoting green protectionism. In 2023, the EU also implemented its CBAM, which initially applies to imports of certain goods (such as cement, iron, and steel, aluminium, fertilisers, electricity, and hydrogen). While it has been framed as a climate action, concerns have arisen that it is a de-facto import constraint, which can be interpreted as violating several provisions under the General Agreement on Tariffs and Trade (GATT). Regardless of its legality, the EU’s CBAM is a source of concern for developing countries as it could impose costs on their exporters, including in Africa, where it could cause a GDP loss of $31 billion (Reference Aggad and LukeAggad and Luke, 2023; Reference Usman, Abimbola and ItuenUsman et al., 2021).

The main defence in terms of the development impact of green industrial policy tools used in the global north has consisted in the idea that those interventions will reduce the cost of low-carbon technologies, making low-carbon transitions more attractive in poor countries. There is validity in this argument, but the policy strategies currently undertaken by the world’s major economies (whether it is the United States, the EU, or China) mostly constrain the role of developing regions as sources of raw materials to fuel the low-carbon technological revolution, thereby reproducing the trade dependencies that have undermined global development in the past century (see Radley for an analysis in the case of the Congo).

Some parallels can therefore be drawn between the emergence of green industrial policy and the past, and it comes to the international division of labour and the international political economy of catching-up. Reviving some of the ideas of the nineteenth century German economist Friederich List, Ha-Joon Reference ChangChang (2002) argued that rich nations have a tendency to ‘kick away the ladder’ by which they climb up, in order to deprive others of the means of climbing up after them. This seems to remain true in the context of green economic development models. While green protectionism might seem like a reasonable response to safeguard domestic industries in their low-carbon transition, the way ‘green’ industrial policies have been enacted by the world’s major economies fails to address the fundamental challenge of a just transition. Through their green protectionism, rich nations are effectively breaking the central promise of the UN sustainable development goals of leaving no one behind.Footnote 38 This begs the questions: is green industrial policy inevitably protectionist and discriminatory? How to balance the regained popularity of industrial policy as an opportunity for global development while avoiding the pitfalls of green protectionism from the Global North? Is green industrial policy fairer when it focuses on the creation of markets (see Reference Mazzucato, Scoones, Leach and NewellMazzucato, 2015, Reference Mazzucato2016; Reference Perez, Jacobs and MazzucatoPerez, 2016) rather than import constraint measures? The rest of this section looks at the ways the tensions between the green industrial policy and international trade rules, the uneven financing landscape for green economic transformation, before exploring some ways forward.

Double Standards of the International Trade System and the WTO’s Contested Relevance

Developing countries need adequate policy space to pursue industrial policies to accelerate their green economic transformation and ensure the sustainability of their development. But to what extent is the pursuit of green industrial policy possible within the current rules of the world trade system? Already in 2014, Mark Wu and James Salzman had anticipated the next generation of trade and environmental conflicts as a result of the emergence of green industrial policy (Wu and Salzman, 2014). The attempt by some countries to pursue green industrial policies has at times violated World Trade Organization (WTO) rules and international trade agreements, especially around tariffs, local content requirements, and intellectual property rights. This was the case for India in 2013, when the United States government (ironically using the same policy tools today) filed a complaint regarding the domestic content requirements under the Jawaharlal Nehru National Solar Mission for solar cells and solar modules (WTO, 2018). Governments, in responding to negative rulings, either find legal work-around solutions (especially those with more technical resources to navigate or bend trade rules) or sever only the quasi-protectionist elements of their green industrial policies (while trying to keep the environmental benefits in place in most cases) (Wu and Salzman, 2014). Furthermore, the policy space for trade-related environmental measures is safeguarded under GATT Article XX(b) where ‘WTO members may adopt policy measures that are inconsistent with GATT disciplines, but necessary to protect human, animal or plant life or health or relating to the conservation of exhaustible natural resources’.Footnote 39

However, in practice, the use of this article is far from straightforward and has rarely been effective due to a two-step evaluation weighing the legitimacy of the environmental policy challenged against its potential negative impact on trade and the extent to which it constitutes a discriminatory or disguised restriction on international trade (Wu and Salzman, 2013). When measures overtly favoured domestic products over imports, WTO panels and the Appellate Body (which has ceased to function since 2019 after the appointment of its new members was blocked by the United States) have generally declined to uphold the defendants’ invocation of the so-called environmental and other public interest exceptions (Reference Tucker, Meyer, Tienhaara and RobinsonTucker and Meyer, 2022).

However, some governments have been resourceful at circumventing trade rules, especially by disguising their industrial policies under the umbrella of climate action. The EU is a case in point, revealing the extent to which protectionist motives can trump ecological goals in trade negotiations. Seeking to promote its biofuel production by preventing the imports of lower-cost biodiesel from Southeast Asia and South America, the EU has implemented duties on biodiesel imports that were later deemed illegal by the WTO (Reference Tucker, Meyer, Tienhaara and RobinsonTucker and Meyer, 2022:125). The EU subsequently resorted to using environmental regulations arguing that palm oil-based biofuel did not comply with its renewable energy targets, prompting disputes from Indonesia and Malaysia on the grounds that the EU’s palm oil restrictions are discriminatory). However, at the same time, the EU has often also restricted the imports of goods that could enable it to meet its climate targets. A famous sticking point in the negotiations on the Environmental Goods Agreement (a multilateral effort within the WTO to liberalise tariffs on environmental goods) was the case of bicycles. While the Chinese government argued that a bicycle constitutes an environmental good because it is an emissions-free form of transportation, the EU negotiators were reluctant to liberalise tariffs on bicycles for fear that a large influx of foreign-produced lower-cost bicycles would damage EU bicycle producers (Reference BensonBenson, 2023). The Environmental Goods Agreement negotiations have broken down as a result. More recently, concerns have been raised regarding the legality of the EU’s CBAM, which several developing nations are planning to challenge at the WTO.

If powerful nations can bend – or deliberately not comply with – trade rules, the purpose of the WTO in the age of ecological crises must be questioned. In many ways, the rise of green industrial policies and green protectionism complicates the balance between trade liberalisation and environmental protection agendas. There are reasons to believe that the recent adoption of explicitly protectionist policies in the United States (such as the IRA and the CHIPS Act) may make global trade rules obsolete, leaving some policy space to late industrialisers. As rich nations often manage to bend trade rules to their advantage, it also provides precedents for developing countries to pursue the same strategies. The future relevance of the WTO may depend on its ability to adapt to – and address – this challenge. At the same time, notwithstanding the restrictions that the WTO places, they also leave governments some degree of flexibility to adopt some green industrial policies, with various exceptions and special treatments. In contrast, regional, multilateral, and bilateral agreements are typically even more restrictive on industrial policy space than WTO rules.

Of particular concern is the Investor-State Dispute Settlement (ISDS) scheme, which is included in many trade and investment agreements and represents a major obstacle to green economic transformation as it enables transnational corporations to use legal action against governments in courts outside of the national legal system over the implementation of sustainability measures that threaten their profits. Fossil-fuel companies are therefore taking advantage of the ISDS scheme to sue over fossil-fuel phase-out plans and have sued governments across the world for £18 billion as climate policies threaten their profits (Global Justice Now, 2021). The ISDS scheme is particularly threatening to the implementation of sustainability measures and broader green economic policy in developing countries (Tienhaara, 2018), where foreign polluting industries have been relocated and have much fewer resources to fight legal battles outside of their jurisdictions. Countries such as South Africa, India, New Zealand, Bolivia, Tanzania, Canada, and the US have all taken steps towards getting rid of ISDS (Reference LimbLimb, 2022). But more efforts are needed in that direction to put an end to the use of ISDS in contexts in which it jeopardises the global fight against climate change and the achievement of sustainability goals more broadly.

Bridging the Financing Gap to Support Green Economic Transformation: How Credible are Rich Nations?

Green economic transformation and industrial policy require a mobilisation of resources, especially in least income countries that face higher infrastructure gaps, external borrowing costs, and stricter financial constraints to spend on productivity-enhancing assets. In theory, climate financing can help bridge this gap. However, despite the rhetoric used by world leaders summit after summit, the climate financing landscape is appalling and exacerbates the impact of green trade protectionism. Rich nations have even broken their promise (made at the 2009 UN climate summit in Copenhagen) to channel a total of USD 100 billion a year to poor nations by 2020 to help them adapt to climate change and mitigate further rises in temperature. The United States provided less than a fifth of what they should have paid ($7.6 billion out of $40 billion), while Australia, Canada, and the UK also fell far short of what they should have contributed (Reference TimperleyTimperley, 2021). This was not even a hard target to reach: $100 billion represents a fraction of what governments spent to bail out banks in the aftermath of the 2008–2009 financial crisis.Footnote 40 To further put things into perspective, while failing to fulfil its $40 billion climate financing pledge, the United States government spent a staggering $1.5 trillion to manufacture the rarely used F-35 Fighter jet, one of the most expensive weapons systems in history. Meanwhile, the EU has allocated over 1 trillion euros in sustainable investments over a decade, but the amount of climate funds from the European Commission and the European Investment Bank (EIB; the EU’s lending arm) to developing countries has not increased from an average of around 5.7 billion euros ($6.7 billion) since 2018 (Reference Usman, Abimbola and ItuenUsman et al., 2021).

Beyond the missed targets in terms of climate financing, attention must also be drawn to the type of climate finance provision to date. Rather than supporting green economic transformation, most climate financing has consisted of non-concessional loans over grant financing and focused on funding climate mitigation initiatives over climate adaptation and resilience (Reference Colenbrander, Cao and PettinottiColenbrander et al., 2022; Reference Usman, Abimbola and ItuenUsman et al., 2021). Considering their economic needs and different responsibilities in the context of the climate crisis, developing countries need a lot more financing not merely to import low-carbon technologies but to support local climate-resilient economic transformations.

Reclaiming Policy Space for Green Economic Transformation

Several initiatives have emerged in recent years to redraw the global finance and trade landscape in a way that brings equity to the climate and development agenda. The one that has received the most attention to date is the Bridgetown Initiative, put forward by the Prime Minister of Barbados, Mia Mottley, which proposes the rechannelling of unused International Monetary Fund (IMF) special drawing rights to developing countries; adding climate resilience debt clauses in new loans by the IFIs; and providing $100 billion in foreign exchange guarantees to help reduce currency risks and, by extension, the cost of capital for renewable energy projects in developing countries.

Notwithstanding the major improvements of the global financial system that the Bridgetown Initiative entails, the agenda of promoting productive resilience to climate and transition risks also requires revisiting trade rules that are restricting the use of green industrial policies in developing nations and consolidating the technological dependence of the global south to the global north. Rather than seeing global decarbonisation as an economic race, rich industrialised nations must recognise the value of inclusive green industrial policies in developing nations and actively support their efforts. Rather than relying on punitive measures, Reference IsmailIsmail (2022) suggests that developed economies such as the EU and the United States that are considering applying CBAMs against imports from developing countries should rather support a positive trade agenda to encourage and assist developing countries to implement their mitigation commitments and adaptation development strategies. An alternative could also be for the EU and the US to share some of the income earned through applying this levy with the countries negatively affected by it and do so in a way that supports the latter’s climate resilience.

This support can take various forms, such as technical and financial assistance for green productive capabilities accumulation and resilience (in other words, climate financing beyond palliative solutions and climate mitigation); further commitment for low-carbon technology transfer (which is at the core of the UNFCCC), notably by increasing support to institutions such as the Global Environment Facility, which, since its inception in 1991, has been financing the transfer of climate change-related and other environmentally sound technologies to developing countries.Footnote 41 International agreements should also further encourage cooperation with – and accountability from – the private sector to support low-carbon technology transfer and innovation cooperation in developing countries.

To expand their shrinking policy space for greening their productive structures, developing countries could also benefit from ending the use of the ISDS system against environmental regulations (which 400 civil society organisations are already calling for, Reference LimbLimb, 2022). Furthermore, to ensure that the development agenda of developing countries is not overburdened with a cost of carbon that exceeds their climate responsibilities, we must move towards a fair differentiation of carbon prices so that rich nations pay much more per CO2 emitted than developing countries. Differentiated prices of carbon must not be solely based on purchasing power parity (as suggested in Reference LenainLenain, 2023) but also reflect different climate responsibilities based on a country’s historic contribution to GHG emissions. To further support the notion of the principle of common but differentiated responsibilities, the WTO could also use the example of the Doha Ministerial Declaration on the Trade-Related Aspects of Intellectual Property Rights (TRIPS) Agreement and Public Health to also expand TRIPS flexibilities for developing countries to climate-related goods (Reference IsmailIsmail, 2022).

Those measures should not be considered a handout to developing nations. If we are to successfully fight against climate change, developing countries (which represent 99 per cent of projected global population growth but have much lower responsibility to mitigate climate change) will also need serious incentives to embark on more ecologically sustainable pathways. However, as is the case with climate and green industrial policy (which spans across various issues such as trade, climate, energy, and finance), institutional gridlocks arise where there are no effective means for coordinating all the bodies that can contribute to dealing with interconnected issues (Reference Hale, Held and YoungHale et al., 2013).Therefore, to move the needle and push for reforms in global trade and environmental rules that typically favour developed nations, developing nations and their international partners will need to build strong coalitions and engage in strategic collective actions in various fronts and forums, such as the WTO, and the Conference of the Parties, and International Finance Institutions.

Furthermore, in the era of a bipolar world, opportunities exist to leverage heightened geopolitical competition between the United States and China. As both superpowers seek to increase their spheres of influence, developing countries can strategically position themselves to leverage this rivalry to their advantage, especially in terms of low-carbon technology transfer. In Malay folklore, this is what is often referred to as the mouse-deer strategy, and it has defined ASEAN diplomacy in recent decades.Footnote 42 While China has already embarked on a global infrastructure development strategy through its Belt and Road Initiative with projects in Africa, Asia, and Latin America, there is scope for opening avenues for low-carbon technology transfer and cooperation for low-carbon technological innovation, adaptation, and diffusion, especially in light of China’s technological dominance in this area (see Section 3). Meanwhile, the United States, in its efforts to counterbalance China’s influence and catch up in low-carbon technology sectors, might be persuaded to offer more favourable terms for technology transfers, productive investments, and capacity-building programmes in developing countries. The recent U.S.-DRC-Zambia memorandum of understanding is a case in point as it demonstrates how the United States aims to counter China and bolster its clean energy supply chains by deepening ties with African nations (Reference SouléSoulé, 2023).

In sum, the road to socially inclusive and developmental global decarbonisation is paved with obstacles and cannot be achieved without expanding policy space for green economic transformation in developing nations. Important conversations on how to reform the global financial architecture to foster climate solidarity and resilience have begun, but progress has been slow. Furthermore, this agenda cannot happen without a parallel major rethinking of the global trade rules. And for the multilateral system to provide the coordination needed for shared prosperity and to fight climate change, we need better collective action and honest conversations about green industrial policy and green protectionism.

7 Conclusion and Reflections on the Future Relevance of Development Economics

Each generation must, out of relative obscurity, discover its mission, fulfill it, or betray it.

― Frantz Fanon

This Element aims to show the extent to which the conditions for economic development have been reframed in the context of a century that is marked by ecological challenges. The carbon-intensive economic models pursued in the past by now-rich countries are not likely to pay off, but policymakers will remain tempted to follow the well-trodden path of such models in the absence of innovative and bold policy ideas to sustain livelihoods in an ecologically responsible way. Reimagining development is no easy thing, but the process of economic development has always been a dynamic one. Far from a logic of permanence, and similarly to how species evolve in nature, societies have throughout history adapted and reinvented their pathways to prosperity in response to various challenges, and the current environmental crisis is no exception. This process might be difficult to conceive for many, which is why policymaking requires a dose of creativity (or what Hirschman called the ‘hiding hand’) to overcome the many challenges – both known and unknown – that persist in achieving the vision of a sustainable future. By using their creative resources, countries can also trailblaze new green economic transformation paths that align with their unique circumstances and strengths.

Contrary to the perception that greening the economic structure is solely a rich country’s mission, this Element also aims to show that adapting to avoid perishing also concerns poor nations. Governments, especially those in rich nations, are increasingly conscious of the economic opportunities stemming from the sustainability agenda and are increasingly adopting green industrial policies and protectionist policies in low-carbon industries. A major concern that arises is ensuring that global decarbonisation supports – rather than operates at the expense of – global development. To date, the ridiculously low resources devoted to climate financing and the high costs of capital for renewable energy projects in developing countries hinder the ability of policymakers to develop corridors of green industrialisation in developing economies (Reference LopesLopes, 2022). If we are serious about our commitment to uplift people, communities, and nations out of the poverty trap, a major rethinking of climate financing and global trade rules is needed to level the playing field for green industrialisation opportunities.

While we should stress the inadequacy of climate financing, it must be emphasised that there is still some room left to disrupt the status quo through domestic measures to promote green economic transformation. In that perspective, the main messages of this Element are that green industrial policies can help countries develop productive capabilities for new structural transformation, but the suitability of different types of industrial policies is highly context-specific and conditioned by institutional constraints, existing state–business relations, and the stability of political systems. Furthermore, there are various possible pathways to green economic transformation. While drawing lessons from international experiences can be helpful, countries need to acknowledge and embrace their distinctive starting points and needs in their search for more resilient economic development models. For instance, while several nations are competing in low-carbon manufacturing, biodiverse regions may find it more appealing to focus on fostering nature-based innovation systems rather than unsustainably pursuing deforestation to make room for wind turbine factories.

The findings of this Element bear considerable policy implications. The process of green economic transformation is far too important and far too urgent to be left to markets alone. Governments will need to play a key role in implementing public policies that go beyond simply fixing market failure and instead shape the productive accumulation of capabilities to promote new activities that offer the best prospect of ensuring climate-resilient livelihoods. The role of industrial policy is of paramount importance in that regard but needs to be integrated within a wider joined-up policy approach to avoid policy inconsistencies. In many countries that do not have the large market size that China, Brazil, the EU, or the USA have, there is a limit to what government can achieve through industrial policy without regional cooperation.

The new environmental and economic realities also influence the pertinent research questions that development economists should be addressing to ensure their discipline is focused on present and future challenges. While we have seen improvements to rectify errors of omission in recent years, notably in terms of integrating environmental costs into economic calculations (e.g. the Stern review and the Dasgupta Review), our attention has been less focused on errors of commission. Firstly, the prevailing metrics of progress (such as GDP) still fail to account for present and future vulnerability to climate and transition risks. Even governments that are vocal about environmental crises face intense pressure from their constituents and international lenders to deliver GDP growth every year, regardless of the direction of such growth. Secondly, adapting economics to our climatic realities requires rethinking traditional development models by granting more value to purpose in economics research. Economics as a discipline may inevitably fail the world on climate and development if the brightest minds are only incentivised to answer questions that have a quantifiable and methodologically complex (and often obvious) answers rather than the difficult (and even existential) questions that may not allow for an answer that contains a precise number. Third, to improve our understanding of green structural transformation, future research needs to address some important blind spots, including:

  1. (1) The distributional effects of green industrial policy, globally and domestically. This Element has focused on how decarbonisation stands to increase economic disparities between nations. But the industrial policy agenda, without proper safeguards, can also increase economic disparities within countries. This Element has focused on how decarbonisation stands to increase economic disparities between nations, but the industrial policy agenda, without proper safeguards, can also increase inequality within countries, with some inevitable losers.

  2. (2) The role of civil society in green industrial policymaking, not only to provide a watchdog mechanism to balance conflicting interests and benefit-sharing but also to ensure continuity and adjustments in democratic systems of governments where political leaders do not stay in power very long. Understanding the role of different actors in influencing the time horizon of the formulation of industrial policies can improve the balance between quick wins and long-term change.

  3. (3) The role of industrial policy for ‘dematerialisation’ and the reduction of waste. While most of the attention is devoted to industrial policy in the context of low-carbon industries, another major environmental challenge remains under-studied: material contamination, which threatens our environment but also human livelihoods. Reducing humanity’s material pollution indeed requires designing and manufacturing products to last longer, which stands in stark contrast with the logic of planned obsolescence. However, the literature on the economics of product durability remains surprisingly scant.

The path to greening economic development is paved with hurdles and complexities that demand an unparalleled level of political dedication at local, national, and global levels. But it is by achieving this level of commitment that we can really begin to pave the way for a new era of prosperity for both current and future generations. In the face of such critical urgency, economists and policymakers alike will have to adapt to this vital concern for sustainability and recognise its effects on dynamics of structural transformation. The message is unequivocal: we must either adapt to these evolving realities (and embrace the opportunities they present) or face the consequences of inaction.

Acknowledgements

This short book has benefited from the guidance and comments of a large group of people. I am particularly grateful to Tony Addison (for encouraging me to write this book in the first place), Ha-Joon Chang (for his never-failing mentorship), and Carlota Perez (for thought-provoking conversations that have shaped this book’s messages).

This book also largely benefited from conversations with – and comments from- various scholars, but also several practitioners, which has helped me better understand the reality on the ground. Therefore, I offer my special thanks to Adriana Abdenur, Andres Valenciano, Angel Melguizo, Arkebe Oqubay, Azman Mokhtar, Baptiste Albertone, Carlo Pietrobelli, Carlos Lopes, Chris Cramer, Chris Hope, Clovis Freire, Evelyn Dietsche, Faten Aggad, Flavien Moreau, Gregor Semieniuk, Isabel Estevez, Jan Yves Remy, Jonathan Di John, Jorge Bula, Jostein Hauge, Kathy Hochstetler, Marcela Morales, Maria Fernanda Valdes, Matthieu Barral, Meriem Ait Ali Slimane, Nik Haukohl, Pavel Bilek, Rasmus Lema, Reda Cherif, Riad Meddeb, Saleha Malik, Sebastian Manhart, Stefan Hobl, Stephane Hallegatte, Ulrich Volz, Zainab Usman and many others.

I am also grateful to the participants of the presentations of this work given at the Harvard Kennedy School, UNCTAD, UNU-WIDER, UNU-MERIT, SOAS, University of London, the World Bank and the International Monetary Fund for valuable feedback and suggestions. Any remaining error is my own.

Last but not least, many thanks to my family, for always being supportive in my endeavours (and especially my sister Mina, for leading by example and whose novels are much nicer to read than this manuscript).

Series Editor-in-Chief

  • Kunal Sen

  • UNU-WIDER and University of Manchester

  • Kunal Sen, UNU-WIDER Director, is Editor-in-Chief of the Cambridge Elements in Development Economics series. Professor Sen has over three decades of experience in academic and applied development economics research, and has carried out extensive work on international finance, the political economy of inclusive growth, the dynamics of poverty, social exclusion, female labour force participation, and the informal sector in developing economies. His research has focused on India, East Asia, and sub-Saharan Africa.

  • In addition to his work as Professor of Development Economics at the University of Manchester, Kunal has been the Joint Research Director of the Effective States and Inclusive Development (ESID) Research Centre, and a Research Fellow at the Institute for Labor Economics (IZA). He has also served in advisory roles with national governments and bilateral and multilateral development agencies, including the UK’s Department for International Development, Asian Development Bank, and the International Development Research Centre.

Thematic Editors

  • Tony Addison

  • University of Copenhagen and UNU-WIDER

  • Tony Addison is a Professor of Economics in the University of Copenhagen’s Development Economics Research Group. He is also a Non-Resident Senior Research Fellow at UNU-WIDER, Helsinki, where he was previously the Chief Economist-Deputy Director. In addition, he is Professor of Development Studies at the University of Manchester. His research interests focus on the extractive industries, energy transition, and macroeconomic policy for development.

  • Chris Barret

  • Johnson College of Business, Cornell University

  • Chris Barrett is an agricultural and development economist at Cornell University. He is the Stephen B. and Janice G. Ashley Professor of Applied Economics and Management; and International Professor of Agriculture at the Charles H. Dyson School of Applied Economics and Management. He is also an elected Fellow of the American Association for the Advancement of Science, the Agricultural and Applied Economics Association, and the African Association of Agricultural Economists.

  • Carlos Gradín

  • University of Vigo

  • Carlos Gradín is a professor of applied economics at the University of Vigo. His main research interest is the study of inequalities, with special attention to those that exist between population groups e.g., by race or sex). His publications have contributed to improving the empirical evidence in developing and developed countries, as well as globally, and to improving the available data and methods used.

  • Rachel M. Gisselquist

  • UNU-WIDER

  • Rachel M. Gisselquist is a Senior Research Fellow and member of the Senior Management Team of UNU-WIDER. She specializes in the comparative politics of developing countries, with particular attention to issues of inequality, ethnic and identity politics, foreign aid and state building, democracy and governance, and sub-Saharan African politics. Dr Gisselquist has edited a dozen collections in these areas, and her articles are published in a range of leading journals.

  • Shareen Joshi

  • Georgetown University

  • Shareen Joshi is an Associate Professor of International Development at Georgetown University’s School of Foreign Service in the United States. Her research focuses on issues of inequality, human capital investment and grassroots collective action in South Asia. Her work has been published in the fields of development economics, population studies, environmental studies and gender studies.

  • Patricia Justino

  • UNU-WIDER and IDS – UK

  • Patricia Justino is a Senior Research Fellow at UNU-WIDER and Professorial Fellow at the Institute of Development Studies (IDS) (on leave). Her research focuses on the relationship between political violence, governance and development outcomes. She has published widely in the fields of development economics and political economy and is the co-founder and co-director of the Households in Conflict Network (HiCN).

  • Marinella Leone

  • University of Pavia

  • Marinella Leone is an assistant professor at the Department of Economics and Management, University of Pavia, Italy. She is an applied development economist. Her more recent research focuses on the study of early child development parenting programmes, on education, and gender-based violence. In previous research she investigated the short-, long-term and intergenerational impact of conflicts on health, education and domestic violence. She has published in top journals in economics and development economics.

  • Jukka Pirttilä

  • University of Helsinki and UNU-WIDER

  • Jukka Pirttilä is Professor of Public Economics at the University of Helsinki and VATT Institute for Economic Research. He is also a Non-Resident Senior Research Fellow at UNU-WIDER. His research focuses on tax policy, especially for developing countries. He is a co-principal investigator at the Finnish Centre of Excellence in Tax Systems Research.

  • Andy Sumner

  • King’s College London and UNU-WIDER

  • Andy Sumner is Professor of International Development at King’s College London; a Non-Resident Senior Fellow at UNU-WIDER and a Fellow of the Academy of Social Sciences. He has published extensively in the areas of poverty, inequality, and economic development.

About the Series

  • Cambridge Elements in Development Economics is led by UNU-WIDER in partnership with Cambridge University Press. The series publishes authoritative studies on important topics in the field covering both micro and macro aspects of development economics.

United Nations University World Institute for Development Economics Research

  • United Nations University World Institute for Development Economics Research (UNU-WIDER) provides economic analysis and policy advice aiming to promote sustainable and equitable development for all. The institute began operations in 1985 in Helsinki, Finland, as the first research centre of the United Nations University. Today, it is one of the world’s leading development economics think tanks, working closely with a vast network of academic researchers and policy makers, mostly based in the Global South.

Footnotes

1 Meanwhile, 47 per cent of the world lives on less than USD 6.85 per day – a poverty line broadly reflective of the lines adopted in upper-middle income countries (World Bank, 2022).

2 The ability to export is a critical feature of a country’s economic development and prosperity (as it supports the accumulation of foreign exchange that can be used to finance the imports of factors of production).

3 In 2007, computers, data centres, and networks already consumed about 10 per cent of the world’s electricity (Reference GartnerGartner, 2007).

4 This process has also been termed ‘eco-efficiency’ which essentially implies combining environmental and economic performances to produce more goods and services while using fewer resources and creating less waste

5 Personal communication with Manuel Albaladejo, UN official in Uruguay.

6 For instance, emphasising principles of comparative advantage, several neoclassical economists wrote studies in the 1970s discouraging the Malaysian government to purse processing and industrialisation of domestic natural resources, which eventually become globally competitive thanks to infant industry protection (see Reference LebdiouiLebdioui, 2020).

7 Though they overlap, environmental goods and low-carbon technology goods refer to slightly different things. Environmental goods include both goods connected to environmental protection (e.g. catalytic converters for vehicles, and compost containers) and goods that are adapted to be more environmentally friendly (e.g. biofuels, mercury-free batteries, and electric cars). Meanwhile, low-carbon technology products are those enabling decarbonisation by producing less pollution than their traditional counterparts, and include wind turbines, solar panels, and carbon capture equipment.

8 Thank you Peter Robinson for bringing this concept to my attention.

9 In reference to the social media personality known for his videos in which he silently mocks overly complicated ‘life hack’ videos by performing the same task in a simple way.

10 This is particularly damaging in countries such as the Dominican Republic where tourism accounts for as much as 40 per cent of export earnings.

11 Over the past decade, developed countries borrowed at an interest cost of an average of 1 per cent, while LDCs borrowed at rates over 5 per cent, with some countries paying over 10 per cent (Reference Volz and AitkenVolz and Aitken, 2022).

12 Reference Buhr, Donovan and KlingBuhr et al. (2018) found that climate vulnerability has already raised the average cost of debt in a sample of developing countries by 117 basis points (which translates into USD 40 billion in additional interest payments over the past ten years on government debt alone).

13 Poor people can be heavily affected by climate change even when impacts on the rest of the population remain limited. In Nigeria, for instance, the most poor 20 per cent of people are 130 per cent more likely to be affected by a drought than the average Nigerian (Reference Hallegatte and RozenbergHallegatte and Rozenberg, 2017).

14 Oil and coal face stronger headwinds of the global-energy transition, while the natural gas industry, given its lower CO2-to-energy content than other fossil fuels, may face favourable prospects in the medium term, depending on how much methane emissions can be reduced (Reference Addison, Addison and RoeAddison, 2018).

15 Those calculations were conducted using figures from the Global Fossil Fuel Registry.

16 For instance, lithium, nickel, and cobalt are crucial to battery performance and longevity (International Energy Agency (2021b). An electric car contains twice as much copper than a car with a combustion engine (World Bank, 2017).

17 One can argue that mined resources can be renewable as technology (to separate materials into their original components) conditions recycling costs and the ability to recover and reuse mined resources (such as cobalt or lithium in consumer electronics).

18 See definitions by the IPCC, IADB, and the Center for Climate and Energy Solutions.

19 For instance. Algeria had shown pioneering efforts in solar energy R&D, with the establishment of the Solar Energy Institute as early as 1962 (now called the CDER). However, success and commercialisation has been limited due to the lack of funding, unstable domestic demand, few incentives for competitiveness and productivity gains, and a failure to keep up with the growing automation of cell manufacturing.

20 Ethanol production generates approximately thirty-two times more jobs per unit of energy produced compared to the petroleum sector (Reference Nogueira and CapazNogueira and Capaz, 2013).

21 The gilet jaunes movement that has started in 2018 in France is a case in point, as the workers-led protests were the aftermath of rising fuel prices to support climate change (Reference AtkinAtkin, 2018).

24 For instance, electric car manufacturers Solyndra and Tesla Motors received guaranteed loans from the US Department of Energy (of respectively USD 500 million and USD 465 million), and further benefited from federal tax credits for consumers buying electric car as well as fuel efficiency standards, which incentivised the larger market demand for electric vehicles (EVs), further boosting the productivity of EV producers through economies of scale (Reference MazzucatoMazzucato, 2013, Reference Mazzucato2016). More recently, industrial policy has made an explicit return as part of the Inflation Reduction Act, which aims to spur investment in green technology in the United States by devoting $369 billion in subsidies through grants, loans, and tax credits to public and private entities.

25 In South Africa, the Renewable Energy Independent Power Producer Procurement Programme was launched in 2011 to allow the state-owned utility Eskom to procure electricity from private producers through a competitive tendering process for which selection criteria include local content and local job creation (Reference Eberhard and NaudeEberhard and Naude, 2017).

26 Skill mismatches can lead to considerable wage penalties, especially for overqualification, that eventually affect both job and life satisfaction (See Reference PalmerPalmer, 2017).

27 Indeed, Africa has an almost unlimited potential for solar capacity (10 TW), abundant hydro (350 GW), wind (110 GW), and geothermal energy sources (15 GW), with some estimates that Africa disposes of 39 per cent of the world’s renewable energy potential, more than any other continent (IRENA, 2022).

28 In Latin America, the rapidly growing green bond market amounted to USD 21.6 billion between 2014 and 2020 (67 per cent of this amount has been issued by Chile and Brazil) (ECLAC, 2022).

29 For instance, the EIB and Development Bank of Southern Africa recently launched a EUR400 million South Africa renewable energy investment initiative.

30 For example, the implementation of renewable energy sources incurs upfront costs but is ultimately more cost-effective and beneficial than relying on fossil fuels in the long run.

31 Even in the case of India, Reference BehuriaBehuria (2020) argues that the country’s position as a late, late industrialiser in the renewable energy sector, combined with prevailing domestic political economy pressures, has made it extremely difficult to promote the manufacturing of solar panels and cells.

32 The bioeconomy can be defined as ‘the production, utilization and conservation of biological resources, including related knowledge, science, technology, and innovation, to provide information, products, processes and services in all economic sectors aiming toward a sustainable economy’ (see International Advisory Council of the Global Bioeconomy Summit, 2018).

33 More recently, other initiatives to promote bio-innovation were launched in Costa Rica, such as the Biomaterials hub to promote R&D around biodiversity and sustainability.

34 Biomimicry can also support the broader conservation agenda if some conditions are met (for instance, biodiversity-based innovation practices need to be conducted in ways and on a scale that does not damage or disrupt fragile ecosystem (see Reference LebdiouiLebdioui, 2022b).

35 Firms initially providing oil fluids engineering and drilling waste management services have also managed to develop globally competitive railway and nuclear centrifuge engineering capabilities.

36 For instance, Vietnam’s proximity to China has allowed it to tap into the Chinese supply chain and cater to its immense market demand, especially as labour costs in China have risen.

37 See discussion on what subregional trade agreements have meant for regional integration Latin America in Reference Salazar-XirinachsSalazar-Xirinachs (2002).

38 Reference Ghosh, Chakraborty and DasGhosh et al. (2023) even argues that the insufficient actions from rich countries are leading to a new form of climate imperialism.

39 See General Agreement on Tariffs and Trade art. XX, Oct. 30, 1947, 61 Stat. A-11, 55 U.N.T.S.194 (hereinafter GATT).

40 The UK government alone provided £123.93 billion to support banks (with the total amount pledged exceeding £1 trillion), while the US federal government used around $245 billion in taxpayer money to bail out banks (The Guardian, 2011; US Department of the Treasury, 2016).

41 Technology transfer can be referred as ‘a broad set of processes covering the flows of know-how, experience and equipment for mitigating and adapting to climate change amongst different stakeholders such as governments, private sector entities, financial institutions, non-governmental organizations and research/education institutions’ (IPCC, 2000).

42 As brought to my attention by Tan Sri Azman Mokhtar, the mouse deer – known as Kancil in Malay – occupies an important place as a trickster in Malay folklore and is used as an example of how a small animal can intelligently gain the necessary benefits from larger ones.

References

Acemoglu, D., Aghion, P., Bursztyn, L., & Hemous, D. (2012). The environment and directed technical change. American Economic Review, 102(1), 131166.CrossRefGoogle ScholarPubMed
Addison, T. (2018). Climate change and the extractives sector. In Addison, T., & Roe, A., eds., Extractive Industries: The Management of Resources as a Driver of Sustainable Development. Oxford: Oxford University Press, p. 768.CrossRefGoogle Scholar
Addison, T., & Lebdioui, A. (2022). Public Savings in Africa: Do Sovereign Wealth Funds Serve Development? United Nations University, World Institute for Development Economics Research.Google Scholar
Adejumobi, S., & Kreiter, Z. (2020). The theory and discourse of developmental regionalism. In Adejumobi, S/ & Obi, C., eds., Developmental Regionalism and EconomicTransformation in Southern Africa (1st ed.). New York: Routledge. https://doi.org/10.4324/9781351053570.CrossRefGoogle Scholar
Aggad, F., & Luke, D. (2023). Implications for African Countries of a Carbon Border Adjustment Mechanism in the EU. LSE and African Climate Foundation.Google Scholar
Aghion, P., Hepburn, C., Teytelboym, A., & Zenghelis, D. (2019). Path dependence, innovation and the economics of climate change. In Fouquet, R., ed., Handbook on Green Growth. Cheltenham: Edward Elgar Publishing. pp. 6783.Google Scholar
Aiginger, K. (2015). Industrial policy for a sustainable growth path. In Bailey, D., Cowling, K., & Tomlinson, P., eds., New Perspectives on Industrial Policy for a Modern Britain. Oxford: Oxford University Press, pp. 365394.Google Scholar
Al Jazeera, . (2021). ‘Chile’s desert dumping ground for fast fashion leftovers’. 8 November, www.aljazeera.com/gallery/2021/11/8/chiles-desert-dumping-ground-for-fast-fashion-leftovers.Google Scholar
Al Saffar, A., & Wanner, B. (2022). How producers in the Middle East and North Africa can free up more natural gas for exports. IEA Commentary. 25 May, www.iea.org/commentaries/how-producers-in-the-middle-east-and-north-africa-can-free-up-more-natural-gas-for-exports.Google Scholar
Albaladejo, M. (2020). Industrialization in Latin America: Exile and Return. Vienna: UNIDO.Google Scholar
Altenburg, T., & Rodrik, D. (2017). Green industrial policy: Accelerating structural change towards wealthy green economies. Green Industrial Policy.Google Scholar
Ameli, N., Dessens, O., Winning, M., et al. (2021). Higher cost of finance exacerbates a climate investment trap in developing economies. Nature Communications, 12(1), 4046.CrossRefGoogle ScholarPubMed
Amsden, A. H. (1989). Asia’s Next Giant: South Korea and Late Industrialization. New York: Oxford University Press.Google Scholar
Anadon, L. D., Chan, G., Harley, A. G., et al. (2016). Making technological innovation work for sustainable development. Proceedings of the National Academy of Sciences, 113(35), 96829690.CrossRefGoogle ScholarPubMed
Anderson, K. (1987). On why agriculture declines with economic growth. Agricultural Economics, 1(3), 195207.CrossRefGoogle Scholar
Andrews, M., Pritchett, L., & Woolcock, M. (2017). Building State Capability: Evidence, Analysis, Action. Oxford: Oxford University Press.CrossRefGoogle Scholar
Anzolin, G., & Lebdioui, A. (2021). Three dimensions of green industrial policy in the context of climate change and sustainable development. European Journal of Development Research, 33, 371405.CrossRefGoogle Scholar
Arrow, K. J. (1972). Economic welfare and the allocation of resources for invention. In Rowley, C. K., ed., Readings in Industrial Economics. London: Macmillan Education, pp. 219–236.Google Scholar
Atkin, E. (2018). ‘France’s Yellow Vest Protesters Want to Fight Climate Change’, The New Republic. Archived from the original on 11/12/2018. Retrieved 11 December 2018.Google Scholar
Bahn-Walkowiak, B., & Wilts, H. (2017). The institutional dimension of resource efficiency in a multi-level governance system – Implications for policy mix design. Energy Research & Social Science, 33, 163172.CrossRefGoogle Scholar
Baldwin, R. & Forslid, R. (2019). Globotics and Development: When Manufacturing Is Jobless and Services Are Tradable. UNU-WIDER Working Paper No. 94/2019. Helsinki: UNU-WIDERCrossRefGoogle Scholar
Balsameda, M., Melguizo, A., & Munoz, V. (2022). ‘Verde y digital, la simbiosis del futuro’, El País. 20 December, https://elpais.com/america-futura/2022-12-20/verde-y-digital-la-simbiosis-del-futuro.html.Google Scholar
Barrett, C. B., & Lybbert, T. J. (2000). Is bioprospecting a viable strategy for conserving tropical ecosystems? Ecological Economics, 34, 293300.CrossRefGoogle Scholar
Beeson, M. (2010), The coming of environmental authoritarianism, Environmental Politics, 19, 276294.CrossRefGoogle Scholar
Behuria, P. (2020). The politics of late late development in renewable energy sectors: Dependency and contradictory tensions in India’s National Solar Mission. World Development, 126, 104726.CrossRefGoogle Scholar
Benson, E. (2023). Beyond Bicycles: A New Momentum behind Environmental Goods Negotiations? www.csis.org/analysis/beyond-bicycles-new-momentum-behind-environmental-goods-negotiations.Google Scholar
Benyus, J. M. (1997). Biomimicry: Innovation Inspired by Nature. New York: Morrow.Google Scholar
Breetz, H., Mildenberger, M., & Stokes, L. (2018). The political logics of clean energy transitions. Business and Politics, 20(4), 492522.CrossRefGoogle Scholar
Buhari, M. (2022). ‘How not to talk with Africa about climate change’. Washington Post. 9 November, www.washingtonpost.com/opinions/2022/11/igerianian-president-cop27-africa-climate-change/.Google Scholar
Buhr, B., Donovan, C., Kling, G., et al. (2018). Climate Change and the Cost of Capital in Developing Countries: Assessing the Impact of Climate Risks on Sovereign Borrowing Costs. Centre for Climate Finance & Investment, Imperial College Business School, and SOAS, University of London, London.Google Scholar
Caldecott, B. (2018). Stranded Assets and the Environment: Risk, Resilience and Opportunity. Oxford: Routledge.CrossRefGoogle Scholar
Campbell, B. M., Thornton, P., Zougmoré, R., Van Asten, P., & Lipper, L. (2014). Sustainable intensification: What is its role in climate smart agriculture? Current Opinion in Environmental Sustainability, 8, 3943.CrossRefGoogle Scholar
Chang, H. C. (2009). Rethinking public policy in agriculture: Lessons from history, distant and recent. The Journal of Peasant Studies, 36(3), 477515.CrossRefGoogle Scholar
Chang, H.-J. (1994). The Political Economy of Industrial Policy. Basingstoke: Palgrave Macmillan.Google Scholar
United Nations Industrial Development Organization. (2020). Industrialization as the Driver of Sustained Prosperity. Vienna: UNIDO.Google Scholar
Chang, H.-J. (2002). Kicking Away the Ladder: Development Strategy in Historical Perspective. London: Anthem Press.Google Scholar
Chang, H. J. (Ed.). (2003). Rethinking Development Economics. London: Anthem PressGoogle Scholar
Chang, H.-J. (2006). Industrial policy in East Asia: Lessons for Europe, EIB Papers, ISSN 0257-7755, European Investment Bank (EIB), Luxembourg, 11(2), pp. 106132.Google Scholar
Chang, H.-J. (2011). Industrial policy: Can we go beyond an unproductive confrontation? In Annual World Bank Conference on Development Economics. Washington, DC: World Bank, pp. 83109.Google Scholar
Chang, H.-J., & Lebdioui, A. (2020). From Fiscal Stabilization to Economic Diversification: A Developmental Approach to Managing Resource Revenues. WIDER Working Paper No. 2020/108.CrossRefGoogle Scholar
Chang, H.-J., & Lebdioui, A., & Albertone, B. (2024). Decarbonised, Dematerialised, and Developmental: Towards a New Framework for Sustainable Industrialisation. Geneva: UNCTAD.Google Scholar
Chang, H.-J., Hauge, J., & Irfan, M. (2016). Transformative Industrial Policy for Africa. Addis Ababa: United Nations Economic Commission for Africa.Google Scholar
Cherif, R., & Hasanov, F. (2019). The Return of the Policy That Shall Not Be Named: Principles of Industrial Policy. International Monetary Fund.Google Scholar
Cimoli, M., Dosi, G., & Stiglitz, J. E. (2009). Industrial Policy and Development: The Political Economy of Capabilities Accumulation. New York: Oxford, pp. 113137CrossRefGoogle Scholar
Colenbrander, S., Cao, C., & Pettinotti, L. (2022). A Fair Share of Climate Finance? An Appraisal of Past Performance, Future Pledges and Prospective Contributors. London: Overseas Development Institute.Google Scholar
Conway, J. (2020). Helping Vietnam’s Coffee Sector Become More Climate Resilient. New York: Colombia University. https://news.climate.columbia.edu/2020/11/13/vietnam-coffee-climate-resilient/.Google Scholar
Cramer, C., & Sender, J. (2019). Oranges are not only fruit: The industrialization of freshness and the quality of growth. In Noman, A., Stiglitz, J. E., & Kanbur, R., eds., The quality of growth in Africa. New York: Columbia University Press, pp. 209233.CrossRefGoogle Scholar
Davies, R. (1996). Promoting regional integration in africa: an analysis of prospects and problems from a South African perspective. African Security Review, 5 (5), 109126.CrossRefGoogle Scholar
Dechezleprêtre, A., Martin, R., & Mohnen, M. (2013). Knowledge spillovers from clean and dirty technologies. Grantham Research Institute on Climate Change and the Environment (No. 135), Working Paper No. 135.Google Scholar
Dercon, S. (2022). Gambling on Development. London: Hurst.Google Scholar
Dikau, S., & Volz, U. (2021). Central bank mandates, sustainability objectives and the promotion of green finance. Ecological Economics, 184, 107022.CrossRefGoogle Scholar
Eaton, S., & Kostka, G. (2014). Authoritarian environmentalism undermined? Local leaders’ time horizons and environmental policy implementation in China. The China Quarterly, 218, 359380.CrossRefGoogle Scholar
Eberhard, A., & Naude, R. (2017). The South African Renewable Energy IPP Procurement Programme: Review, Lessons Learned & Proposals to Reduce Transaction Costs, Graduate School of Business, University of Cape Town.CrossRefGoogle Scholar
ECLAC. (2022). How to finance sustainable development. Special Report COVID-19 No. 13. Santiago: ECLAC.Google Scholar
Eicher, C. K., & Staatz, J. M. (Eds.). (1998). International Agricultural Development. Baltimore: Johns Hopkins University Press.CrossRefGoogle Scholar
Ekins, P., & Zenghelis, D. (2021). The costs and benefits of environmental sustainability. Sustainability Science, 16, 949965.CrossRefGoogle ScholarPubMed
MacArthur Foundation., Ellen (2015). Towards a Circular Economy: Business Rationale for an Accelerated Transition. Cowes: Ellen MacArthur Foundation.Google Scholar
Estevez, I. (2023). Multi-Solving, Trade-Offs, and Conditionalities in Industrial Policy. Briefs. Washington, DC: Roosevelt Institute.Google Scholar
Evans, P. (1995). Embedded Autonomy: States and Industrial Transformation. Princeton: Princeton University Press.CrossRefGoogle Scholar
Fermanian Business & Economic Institute. (2015). Bioinspired Innovation: An Economic engine. In Smith, C., Bernett, A., Hanson, E., & Garvin, C., eds., Tapping into Nature: The Future of Energy, Innovation, and Business. New York: Terrapin Bright Green LLC, pp. 1013.Google Scholar
Fermanian Business & Economic Institute. (2020). The Da Vinci China Index: 2000–2019 Report Point. San Diego, CA: Loma Nazarene University.Google Scholar
Ferreira, G. F. C., Fuentes, P. A. G., & Ferreira, J. P. C. (2017). The successes and shortcoming of Costa Rica exports diversification policies. Background paper to the UNCTAD-FAO Commodities and Development Report.Google Scholar
Fletcher, R., Dressler, W., Büscher, B., & Anderson, Z. R. (2016). Questioning REDD+ and the future of market-based conservation. Conservation Biology, 30(3), 673675.CrossRefGoogle ScholarPubMed
Fouquet, R. (2016). Path dependence in energy systems and economic development. Nature Energy, 1(8), 15.CrossRefGoogle Scholar
Franzoni, J. M., & Ancochea, D. S. (2013). Good Jobs and Social Services: How Costa Rica Achieved the Elusive Double Incorporation. Geneva: United Nations Research Institute for Social DevelopmentCrossRefGoogle Scholar
Freitag, C., Berners-Lee, M., Widdicks, K., et al. (2021). The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations. Patterns, 2(9), 1–18.CrossRefGoogle ScholarPubMed
Gollin, D. (2018). Structural Transformation and Growth without Industrialisation, Pathways to Prosperity Commission Background Paper Series No. 2. Oxford: Oxford University Press.Google Scholar
Gabor, D. (2021). The wall street consensus. Development and Change, 52(3), 429459.CrossRefGoogle Scholar
Gabor, D. (2023). The (European) Derisking State. https://doi.org/10.31235/osf.io/hpbj2.CrossRefGoogle Scholar
Gabor, D., & Sylla, N. S. (2023). Derisking developmentalism: A tale of green hydrogen. Development and Change, 54: 11691196.CrossRefGoogle Scholar
Garrett-Peltier, H. (2017). Green versus brown: Comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model. Economic Modelling, 61, 439447.CrossRefGoogle Scholar
Gartner, . (2007). Gartner estimates ICT industry accounts for 2 percent of global CO2 emissions. Gartner Press Release. 26 April. https://web.archive.org/web/20070827000406/http://www.gartner.com/it/page.jsp?id=503867.Google Scholar
Gereffi, G. (2019). Economic upgrading in global value chains. In Ponte, S., Gereffi, G., & Raj-Reichert, G., eds., Handbook on Global Value Chains. Edward Elgar Publishing. Cheltenham: Edward Elgar Publishing, pp. 240254Google Scholar
Ghosh, J., Chakraborty, S., & Das, D. (2023). El imperialismo climático en el siglo XXI. El trimestre económico, 90(357), 267291.CrossRefGoogle Scholar
Gilley, B. (2012), Authoritarian environmentalism and China’s response to climate change, Environmental Politics, 21, 287307.CrossRefGoogle Scholar
Global Justice Now (2021). Briefing: Corporate courts vs the climate. September 16. Accessible at: https://www.globaljustice.org.uk/resource/corporate-courts-vs-the-climate-briefing/.Google Scholar
Gore, T. (2020). Confronting carbon inequality. Putting climate justice at the heart of the COVID-19 recovery. Nairobi: OXFAM.Google Scholar
Government of Barbados. (2022). The 2022 Bridgetown Initiative. www.foreign.gov.bb/the-2022-barbados-agenda/.Google Scholar
Guo, J. X., & Fan, Y. (2017). Optimal abatement technology adoption based upon learning-by-doing with spillover effect. Journal of Cleaner Production, 143, 539548.CrossRefGoogle Scholar
Hale, T., Held, D., & Young, K. (2013). Gridlock: Why Global Cooperation Is Failing When We Need It Most. London: Polity.Google Scholar
Hallegatte, S., Fay, M., & Vogt-Schilb, A. (2013). Green Industrial Policy: When and How. World Bank Policy Research Working Paper No. 6677. Washington, DC: World Bank.Google Scholar
Hallegatte, S., & Rozenberg, J. (2017). Climate change through a poverty lens. Nature Climate Change, 7(4), 250256.CrossRefGoogle Scholar
Hallegatte, S., Mealy, P., Ganslmeier, M., & Godinho, C. (2024). Empirical Identification of Feasible and Strategic Climate Policies. https://doi.org/10.21203/rs.3.rs-3868581/v1.CrossRefGoogle Scholar
Hauge, J. (2020). Industrial policy in the era of global value chains: Towards a developmentalist framework drawing on the industrialisation experiences of South Korea and Taiwan. The World Economy, 43(8), 20702092.CrossRefGoogle Scholar
Hauge, J. (2023). The Future of the Factory. Oxford: Oxford University Press.CrossRefGoogle Scholar
Heine, J. (2012). Regional integration and political cooperation in Latin America. Latin American Research Review, 47(3), 209217.CrossRefGoogle Scholar
Hess, D. J. (2018). Energy democracy and social movements: A multi-coalition perspective on the politics of sustainability transitions. Energy Research and Social Science, 40, 177189.CrossRefGoogle Scholar
Hickel, J. (2020). Quantifying national responsibility for climate breakdown: An equality-based attribution approach for carbon dioxide emissions in excess of the planetary boundary. The Lancet Planetary Health, 4(9), e399e404.CrossRefGoogle ScholarPubMed
Hochstetler, K. (2020). Political Economies of Energy Transition: Wind and Solar Power in Brazil and South Africa. Cambridge: Cambridge University Press.Google Scholar
Hochstetler, K., & Keck, M. E. (2007). Greening Brazil: Environmental Activism in State and Society. Durham: Duke University Press.Google Scholar
Hochstetler, K., & Kostka, G. (2015). Wind and solar power in Brazil and China: Interests, state – business relations, and policy outcomes. Global Environmental Politics, 15(3), 7494.CrossRefGoogle Scholar
Hochstetler, K., & Viola, E. (2012). Brazil and the Politics of Climate Change: Beyond the Global Commons. Environmental Politics, 21(5), 753771.CrossRefGoogle Scholar
Hübler, M. (2019). How trade in ecotourism services can save nature: A policy scenario analysis. Development Southern Africa, 36(1), 127143.CrossRefGoogle Scholar
Humphrey, J., & Schmitz, H. (2000). Global Governance and Upgrading: Linking Industrial Cluster and Global Value Chain Research. IDS Working Paper 120. Brighton: Institute of Development Studies.Google Scholar
Hunt, C. A., Durham, W. H., Driscoll, L., & Honey, M. (2015). Can ecotourism deliver real economic, social, and environmental benefits? A study of the Osa Peninsula, Costa Rica. Journal of Sustainable Tourism, 23(3), 339357.CrossRefGoogle Scholar
Hydrogen Council and McKinsey & Company. (2022). Hydrogen Insights Report September 2022. https://hydrogencouncil.com/wp-content/uploads/2022/09/Hydrogen-Insights-2022-2.pdf.Google Scholar
IEA, IRENA, UNSD, World Bank and WHO. (2021). Tracking SDG 7: The Energy Progress Report. Washington, DC: World Bank.Google Scholar
ILO. (2019). Advancing Social Justice: Shaping the Future of Work in Africa. Geneva: International Labour Organization.Google Scholar
Inter-American Development Bank. (2014). Megacities & Infrastructure in Latin America: What Its People Think. Washington, DC: Inter-American Development Bank.Google Scholar
International Advisory Council of the Global Bioeconomy Summit. (2018). Innovation in the Global Bioeconomy for Sustainable and Inclusive Transformation and Wellbeing. 20 April. Berlin: IACBG.Google Scholar
International Energy Agency – IEA. (2021). World Energy Outlook. Paris: IEA.Google Scholar
International Energy Agency – IEA. (2024). Renewables 2023. Paris: IEA.Google Scholar
IPCC. (2000). Methodological and Technological Issues in Technology Transfer. Cambridge: Cambridge University Press.Google Scholar
IRENA. (2015). RD&D for Renewable Energy Technologies: Cooperation in Latin America and the Caribbean. Abu Dhabi: IRENA.Google Scholar
IRENA. (2020). Renewable Energy and Jobs – Annual Review 2020. Abu Dhabi: IRENA.Google Scholar
IRENA. (2021). Renewable Energy and Jobs – Annual Review 2020. Abu Dhabi: IRENA.Google Scholar
IRENA. (2022). Geopolitics of the Energy Transformation: The Hydrogen Factor. Abu Dhabi: IRENA.Google Scholar
IRENA and AfDB. (2022). Renewable Energy Market Analysis: Africa and Its Regions. Abu Dhabi: International Renewable Energy Agency and African Development Bank.Google Scholar
Ismail, F. (2018). A ‘developmental regionalism’ approach to the AfCFTA. Celebration of the 90th Birthday of Chief Olu Akinkugbe CFR CON. Retrieved on 4 November 2021.Google Scholar
Ismail, F. (2022). Trade and Climate-Resilient Development in Africa: Towards a Global Green New Deal. Forum on Trade, Environment & the SDGs (TESS).Google Scholar
Jacobson, S. K., & Lopez, A. L. (1994). Biological Impacts of Ecotourism: Tourists and Nesting Turtles in Tortuguero National Park, Costa Rica. Wildlife Society Bulletin, 22(3), 414419.Google Scholar
Kaldor, N. (1967). Strategic Factors in Economic Development. Ithaca: New York State School of Industrial and Labor Relations, Cornell University.Google Scholar
Kaufman, M. (2020). The carbon footprint sham. A ‘successful, deceptive’ PR campaign. Mashable Social Good Series.Google Scholar
Kennedy, E., Fecheyr-Lippens, D., Hsiung, B. K., Niewiarowski, P. H., & Kolodziej, M. (2015). Biomimicry: A path to sustainable innovation. Design Issues, 31(3), 6673.Google Scholar
Khan, M. (2010). Political settlements and the governance of growth-enhancing institutions. Research Paper Series on Governance for Growth. London: SOAS, University of London, London. Accessible at http://eprints.soas.ac.uk/9968.Google Scholar
Knight, K. W., Schor, J. B., & Jorgenson, A. K. (2017). Wealth inequality and carbon emissions in high-income countries. Social Currents, 4(5), 403412.CrossRefGoogle Scholar
Khan, M. J., Ponte, S., & Lund-Thomsen, P. (2020). The ‘factory manager dilemma’: Purchasing practices and environmental upgrading in apparel global value chains. Environment and Planning A: Economy and Space, 52(4), 766789.CrossRefGoogle Scholar
Koens, J. F., Dieperink, C., & Miranda, M. (2009). Ecotourism as a development strategy: Experiences from Costa Rica. Environment, Development and Sustainability, 11(6), 12251237.CrossRefGoogle Scholar
Kostka, G., & Mol, A. P. (2017). Implementation and participation in China’s local environmental politics: Challenges and innovations. In Kostka, G. & Mol, A. P., eds., Local Environmental Politics in China. New York: Routledge, pp. 114.CrossRefGoogle Scholar
Kvangraven, I. H. (2021). Beyond the stereotype: Restating the relevance of the dependency research programme. Development and Change, 52(1), 76112.CrossRefGoogle Scholar
Lebdioui, A. (2019). Chile’s export diversification since 1960: A free market miracle or mirage? Development and Change, 50(6), 16241663.CrossRefGoogle Scholar
Lebdioui, A. (2020). The political economy of moving up in global value chains: How Malaysia added value to its natural resources through industrial policy. Review of International Political Economy, 29(3), 870903.CrossRefGoogle Scholar
Lebdioui, A. (2022a). Latin American Trade in the Age of Climate Change: Impact, Opportunities, and Policy Options. Canning House: London School of Economics.Google Scholar
Lebdioui, A. (2022b). Nature-inspired innovation policy: Biomimicry as a pathway to leverage biodiversity for economic development. Ecological Economics, 202, 107585.CrossRefGoogle Scholar
Lebdioui, A., Lee, K., & Pietrobelli, C. (2021). Local-foreign technology interface, resource-based development, and industrial policy: How Chile and Malaysia are escaping the middle-income trap. The Journal of Technology Transfer, 46, 660685.CrossRefGoogle Scholar
Lee, K. (2013). Schumpeterian Analysis of Economic Catch-Up, Knowledge, Path-Creation and the Middle-Income Trap. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Lema, A., & Ruby, K. (2006). Towards a policy model for climate change mitigation: China’s experience with wind power development and lessons for developing countries. Energy for Sustainable Development, 10(4), 513.CrossRefGoogle Scholar
Lema, A., & Ruby, K. (2007). Between fragmented authoritarianism and policy coordination: Creating a Chinese market for wind energy. Energy Policy, 35(7), 38793890.CrossRefGoogle Scholar
Lema, R., & Lema, A. (2012). Technology transfer? The rise of China and India in green technology sectors. Innovation and Development, 2(1), 2344.CrossRefGoogle Scholar
Lema, R., Iizuka, M., & Walz, R. (2015). Introduction to low-carbon innovation and development: Insights and future challenges for research. Innovation and Development, 5(2), 173187.CrossRefGoogle Scholar
Lema, R., Fu, X., & Rabellotti, R. (2020). Green windows of opportunity: Latecomer development in the age of transformation toward sustainability. Industrial and Corporate Change, 29(5), 11931209. https://doi.org/10.1093/icc/dtaa044.CrossRefGoogle Scholar
Lema, R. & Perez, C. (2024) The green transformation as a new direction for techno-economic development. UNU-MERIT Working Paper #2024–001. Maastricht: United Nations University, Maastricht Economic and social Research institute on Innovation and Technology.Google Scholar
Lenain, P. (2023). Differentiated carbon prices in the electricity sector: Towards a cooperative approach based on purchasing power parity. OECD Forum. https://www.oecd-forum.org/posts/differentiated-carbon-prices-in-the-electricity-sector-towards-a-cooperative-approach-based-on-purchasing-power-parity.Google Scholar
Li, L. C. (2010). Central‐local relations in the people’s Republic of China: Trends, processes and impacts for policy implementation. Public Administration and Development, 30(3), 177190.CrossRefGoogle Scholar
Lieberthal, K. G. (1992). Introduction: The ‘fragmented authoritarianism’ model and its limitations. Bureaucracy, Politics, and Decision Making in Post-Mao China, 1, 612.Google Scholar
Limb, L. (2022). ‘Inside the “secretive” tribunals where fossil fuel companies “steal” from developing countries’. Euronews. 19 November.Google Scholar
Lin, J., & Chang, H.-J. (2009). Should industrial policy in developing countries conform to comparative advantage or defy it? A debate between Justin Lin and Ha‐Joon Chang. Development Policy Review, 27(5), 483502.CrossRefGoogle Scholar
Liu, L., Zhang, B., & Bi, J. (2012). Reforming China’s multi-level environmental governance: Lessons from the 11th Five-Year Plan. Environmental Science & Policy, 21, 106111.CrossRefGoogle Scholar
Lo, K. (2015). How authoritarian is the environmental governance of China? Environmental Science & Policy, 54, 152159.CrossRefGoogle Scholar
Lourenço, I. C., Callen, J. L., Branco, M. C., & Curto, J. D. (2014). The value relevance of reputation for sustainability leadership. Journal of Business Ethics, 119, 1728.CrossRefGoogle Scholar
Lundvall, B. Å. (1999). National business systems and national systems of innovation. International Studies of Management & Organization, 29(2), 6077.CrossRefGoogle Scholar
Lundvall, B. Å. (2016). The Learning Economy and the Economics of Hope. Anthem Press.CrossRefGoogle Scholar
Lütkenhorst, W., Altenburg, T., Pegels, A., & Vidican, G. (2014). ‘Green Industrial Policy: Managing Transformation under Uncertainty’, DIE Discussion Paper. Bonn: Deutsches Institute für Entwicklungspolitik.Google Scholar
MacAskill, S., Roca, E., Liu, B., Stewart, R. A., & Sahin, O. (2021). Is there a green premium in the green bond market? Systematic literature review revealing premium determinants. Journal of Cleaner Production, 280, 124491.CrossRefGoogle Scholar
Macías Barberán, R., Cuenca Nevárez, G., Intriago Flor, F., et al. (2019). Vulnerability to climate change of smallholder cocoa producers in the province of Manabí, Ecuador. Revista Facultad Nacional de Agronomía Medellín, 72(1), 87078716.CrossRefGoogle Scholar
Mahathir, M. (2007). Revisiting vision 2020: New challenges for Malaysia. In Nungsari, A. R. and Suryani, S. A., eds., Readings on Development: Malaysia 2057: Uncommon Voices, Common Aspirations. Kuala Lumpur: Khazanah Nasional.Google Scholar
Malavasi, E. O., & Kellenberg, J. (2002). Program of payments for ecological services in Costa Rica. In Building Assets for People and Nature: International Expert Meeting on Forest Landscape Restoration. Costa Rica: Heredia, Vol. 27. 17.Google Scholar
Malerba, F. (2002). Sectoral systems of innovation and production. Research Policy, 31(2), 247264.CrossRefGoogle Scholar
Malik, A. (2019). The political economy of macroeconomic policy in Arab resource-rich economies. In Mohaddes, K., Nugent, J. B., & Selim, H., eds., Institutions and Macroeconomic Policies in Resource-Rich Arab economies. Oxford: Oxford University Press, pp. 17–51.Google Scholar
Manley, D., Heller, P. R., & Davis, W. (2022). No Time to Waste: Governing Cobalt Amid the Energy Transition. London: Natural Resource Governance Institute.Google Scholar
Marchi, V. D., Maria, E. D., & Micelli, S. (2013). Environmental strategies, upgrading and competitive advantage in global value chains. Business Strategy and the Environment, 22(1), 6272.CrossRefGoogle Scholar
Massarella, K., Sallu, S. M., Ensor, J. E., & Marchant, R. (2018). REDD+, hype, hope and disappointment: The dynamics of expectations in conservation and development pilot projects. World Development, 109, 375385.CrossRefGoogle Scholar
Mateo, N., Nader, W., & Tamayo, G. (2001). Bioprospecting. Encyclopedia of Biodiversity, 1, 471488.CrossRefGoogle Scholar
Mazibuko-Makena, Z., & Kraemer-Mbula, E. (Eds.). (2021). Leap 4.0. African Perspectives on the Fourth Industrial Revolution: African Perspectives on the Fourth Industrial Revolution. Johannesburg: African Books Collective.CrossRefGoogle Scholar
Mazzucato, M. (2013). The Entrepreneurial State: Debunking Public vs. Private Sector Myths. London: Anthem Press.Google Scholar
Mazzucato, M. (2015). The green entrepreneurial state. In Scoones, B., Leach, M., Newell, P. (eds). The Politics of Green Transformations, London: Routledge. 134153CrossRefGoogle Scholar
Mazzucato, M. (2016). From market fizing to market creating: A new framework for innovation policy. Industry and Innovation, 23(2), 140156.CrossRefGoogle Scholar
Mazzucato, M., & Rodrik, D. (2023). Industrial Policy with Conditionalities: A Taxonomy and Sample Cases. UCL Institute for Innovation and Public Purpose, Working Paper Series (IIPP WP 2023–07).Google Scholar
Mealy, P., & Teytelboym, A. (2022). Economic complexity and the green economy. Research Policy, 51(8), 103948.CrossRefGoogle Scholar
Mellor, J. W. (1966). The Economics of Agricultural Development. Ithaca, NY: Cornell University Press.Google Scholar
Mellor, J. W. (Eds.). (1995). Agriculture on the Road to Industrialization. Baltimore: International Food Policy Research Institute.Google Scholar
Merke, F., Stuenkel, O., & Feldmann, A. E. (2021). Reimagining Regional Governance in Latin America. Carnegie Endowment for International Peace. https://carnegieendowment.org/2021/06/24/reimagining-regional-governance-in-latin-america-pub-84813.Google Scholar
Morris, M., Kaplinsky, R., & Kaplan, D. (2012). ‘One thing leads to another’ – Commodities, linkages and industrial development. Resources Policy, 37(4), 408416.CrossRefGoogle Scholar
Muradian, R., Arsel, M., Pellegrini, L., et al. (2013). Payments for ecosystem services and the fatal attraction of win‐win solutions. Conservation Letters, 6(4), 274279.CrossRefGoogle Scholar
Mukherjee, P. (2023). Exclusive: South Africa’s green power push falters as projects fail. Reuters. 18 July. https://www.reuters.com/business/energy/south-africas-green-power-push-falters-projects-fail-2023-07-18/.Google Scholar
Nayyar, G., Cruz, M., & Zhu, L. (2018). Does Premature Deindustrialization Matter? The Role of Manufacturing and Services in Development. Policy Research Paper No. 8596. Washington, DC: The World Bank.Google Scholar
Nayyar, G., Hallward-Driemeier, M., & Davies, E. (2021). At Your Service?: The Promise of Services-Led Development. Washington, DC: The World Bank.CrossRefGoogle Scholar
Nelson, D., & Shrimali, G. (2014). Finance mechanisms for lowering the cost of renewable energy in rapidly developing countries. Climate Policy Initiative.Google Scholar
Nelson, R. R., & Winter, S. J. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA: Harvard University Press.Google Scholar
Newell, P., & Paterson, M. (2010). Climate Capitalism: Global Warming and the Transformation of the Global Economy. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Newfarmer, R., Page, J., & Tarp, F. (2019). Industries without Smokestacks: Industrialization in Africa Reconsidered. Oxford: Oxford University Press.Google Scholar
Nidumolu, R., Prahalad, C. K., & Rangaswami, M. R. (2009). Why sustainability is now the key driver of innovation. Harvard Business Review, 87(9), 5664.Google Scholar
Nogueira, L. A. H., & Capaz, R. S. (2013). Biofuels in Brazil: Evolution, achievements and perspectives on food security. Global Food Security, 2(2), 117125.CrossRefGoogle Scholar
Nordhaus, W. D. (2007). A review of the Stern review on the economics of climate change. Journal of Economic Literature, 45(3), 686702. https://doi.org/10.1257/jel.45.3.686.CrossRefGoogle Scholar
Nurkse, R. (1961). International trade theory and development policy. In Ellis, H. S., ed., Development for Latin America. New York: St. Martin’s Press, pp. 234263.CrossRefGoogle Scholar
Ocampo, J. A. (Ed.). (2006). Regional Financial Cooperation. Washington, DC: ECLAC/Brookings Institution Press.Google Scholar
Okereke, C., Coke, A., Geebreyesus, M., et al. (2019). Governing green industrialisation in Africa: Assessing key parameters for a sustainable socio-technical transition in the context of Ethiopia. World Development, 115, 279290.CrossRefGoogle Scholar
Oppenheimer, M., Glavovic, B. C., Hinkel, J., et al. (2019). Sea level rise and implications for low-lying islands, coasts and communities. In IPCC Special Report on the Ocean and Cryosphere in a Changing Climate. Cambridge: Cambridge University Press, pp. 321445.Google Scholar
Overman, H., Butt, N., Cummings, A. R., Luzar, J. B., & Fragoso, J. M. (2018). National REDD+ implications for tenured indigenous communities in Guyana, and communities’ impact on forest carbon stocks. Forests, 9(5), 231.CrossRefGoogle Scholar
Overman, H., Cummings, A. R., Luzar, J. B., & Fragoso, J. M. (2019). National REDD outcompetes gold and logging: The potential of cleaning profit chains. World Development, 118, 1626.CrossRefGoogle Scholar
Oyemitan, I. A. (2017). African medicinal spices of genus Piper. In Kuete, V., Ed., Medicinal Spices and Vegetables from Africa. Academic Press, pp. 581597.CrossRefGoogle Scholar
Pack, H., & Saggi, K. (2006). Is there a case for industrial policy? A critical survey. The World Bank Research Observer, 21(2), 267297.CrossRefGoogle Scholar
Palage, K., Lundmark, R., & Söderholm, P. (2019). The innovation effects of renewable energy policies and their interaction: The case of solar photovoltaics. Environmental Economics and Policy Studies, 21, 217254.CrossRefGoogle Scholar
Palmer, R. (2017). Jobs and Skills Mismatch in the Informal Economy. Geneva: International Labour Organisation.Google Scholar
Palombi, L., & Sessa, R. (2013). Climate-Smart Agriculture: Sourcebook. Food and Agriculture Organization of the United Nations (FAO).Google Scholar
Parente, R., Melo, M., Andrews, D., Kumaraswamy, A., & Vasconcelos, F. (2021). Public sector organizations and agricultural catch-up dilemma in emerging markets: The orchestrating role of Embrapa in Brazil. Journal of International Business Studies, 52, 646670.CrossRefGoogle Scholar
Park, A. S. (2023). Understanding resilience in sustainable development: Rallying call or siren song? Sustainable Development.CrossRefGoogle Scholar
Pearce, D. W., & Pearce, C. (2001). The Value of Forest Ecosystems, Report to the Convention on Biological Diversity, Toronto.Google Scholar
Pegels, A. (Ed.). (2014). Green Industrial Policy in Emerging Countries. London: Routledge.CrossRefGoogle Scholar
Pegels, A., & Altenburg, T. (2020). Latecomer development in a ‘greening’ world: Introduction to the Special Issue. World Development, 135, 105084.CrossRefGoogle Scholar
Perez, C. (2010). Technological dynamism and social inclusion in Latin America: A resource-based production development strategy. CEPAL Review No. 100, pp. 121141.CrossRefGoogle Scholar
Perez, C. (2016). Capitalism, technology and a green global golden age: The role of history in helping to shape the future. In Jacobs, M. & Mazzucato, M., eds., Rethinking Capitalism: Economics and Policy for Sustainable and Inclusive Growth. London: Wiley Blackwell, Vol. 1, pp. 191217.Google Scholar
Pietrobelli, C., & Seri, C. (2023). Reshoring, nearshoring and development: Readiness and implications for Latin America and the Caribbean. Transnational Corporations Journal, 30(2). 3770.CrossRefGoogle Scholar
Ponte, S. (2019). Business, Power and Sustainability in a World of Global Value Chains. London: Bloomsbury.CrossRefGoogle Scholar
Prebisch, R. (1950). The Economic Development of Latin America and Its Principal Problems. Santiago: UN Economic Comission for Latin America.Google Scholar
Radley, B. (2023). Green imperialism, sovereignty, and the quest for national development in the Congo. Review of African Political Economy, 50, 177178, 322339.CrossRefGoogle Scholar
Reich, R. (1982). Why the U.S. Needs an Industrial Policy. Harvard Business Review. January, https://hbr.org/1982/01/why-the-us-needs-an-industrial-policy.Google Scholar
Riofrancos, T., Kendall, A., Dayemo, K. K., et al. (2023). Achieving zero emissions with more mobility and less mining. Climate and community project.Google Scholar
Ritchie, H. (2021). How much of global greenhouse gas emissions come from food? Our World in Data. 18 March. https://ourworldindata.org/greenhouse-gas-emissions-food.Google Scholar
Rodrik, D. (2004). Industrial policy for the twenty-first century. Available at SSRN 666808. Accessible at: https://drodrik.scholar.harvard.edu/files/dani-rodrik/files/industrial-policy-twenty-first-century.pdf.Google Scholar
Rodrik, D. (2014). Green Industrial Policy. Oxford Review of Economic Policy, 30(3), pp.469491.CrossRefGoogle Scholar
Rogge, K. S., Kern, F., & Howlett, M. (2017). Conceptual and empirical advances in analysing policy mixes for energy transitions. Energy Research & Social Science, 33, 110.CrossRefGoogle Scholar
Romero, J. P., & Gramkow, C. (2021). Economic complexity and greenhouse gas emissions. World Development, 139, 105317.CrossRefGoogle Scholar
Rosenberg, N. (1976). On technological expectations. The Economic Journal, 86(343), 523535.CrossRefGoogle Scholar
Saget, C., Vogt-Schilb, A., & Luu, T. (2020). Jobs in a Net-Zero Emissions Future in Latin America and the Caribbean. Geneva: Inter-American Development Bank and International Labour Organization.CrossRefGoogle Scholar
Salazar-Xirinachs, J. M. (1993). The role of the state and the market in economic development. In Sunkel, O., ed., Development from Within: Toward a Neostructuralist Approach for Latin America. Boulder, CO: Lynne Rienner, pp. 359396.CrossRefGoogle Scholar
Salazar-Xirinachs, J. M. (2002). Proliferation of sub-regional trade agreements in the Americas: An assessment of key analytical and policy issues. Journal of Asian Economics, 13(2), 181212.CrossRefGoogle Scholar
Schmidt, T. S. (2014). Low-carbon investment risks and de-risking. Nature Climate Change, 4(4), 237239.CrossRefGoogle Scholar
Schultz, T. W. (1968). Economic Growth and Agriculture. London: McGraw-Hill.Google Scholar
Semieniuk, G., & Yakovenko, V. M. (2020). Historical evolution of global inequality in carbon emissions and footprints versus redistributive scenarios. Journal of Cleaner Production, 264, 121420.CrossRefGoogle Scholar
Semieniuk, G., Campiglio, E., Mercure, J. F., Volz, U., & Edwards, N. R. (2021). Low‐carbon transition risks for finance. Wiley Interdisciplinary Reviews: Climate Change, 12(1), e678.Google Scholar
Sen, K. (2023). Varieties of Structural Transformation: Patterns, Determinants, and Consequences. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Shen, W., & Xie, L. (2017). The political economy for low-carbon energy transition in China: towards a new policy paradigm?. New Political Economy, 23(4), 407421.CrossRefGoogle Scholar
Sierra, R., & Russman, E. (2006). On the efficiency of environmental service payments: A forest conservation assessment in the Osa Peninsula, Costa Rica. Ecological Economics, 59(1), 131141.CrossRefGoogle Scholar
Simpson, R. D., Sedjo, R. A., & Reid, J. W. (1996). Valuing biodiversity for use in pharmaceutical research. Journal of Political Economy, 104(1), 163185.CrossRefGoogle Scholar
Singer, H. W. (1950). The Distribution of Gains between Investing and Borrowing Countries, The American Economic Review 40.2: 473485.Google Scholar
Smith, S., & Braathen, N. A. (2015). Monetary Carbon Values in Policy Appraisal: An Overview of Current Practice and Key Issues. Paris: OECD.Google Scholar
Soto, D., León‐Muñoz, J., Dresdner, J., et al. (2019). Salmon farming vulnerability to climate change in southern Chile: Understanding the biophysical, socioeconomic and governance links. Reviews in Aquaculture, 11(2), 354374.CrossRefGoogle Scholar
Soulé, F. (2023). What a U.S.-DRC-Zambia Electric Vehicle Batteries Deal Reveals about the New U.S. Approach toward Africa. https://carnegieendowment.org/2023/08/21/what-u.s.-drc-zambia-electric-vehicle-batteries-deal-reveals-about-new-u.s.-approach-toward-africa-pub-90383.Google Scholar
Sovacool, B. K., Martiskainen, M., Hook, A., & Baker, L. (2020). Beyond cost and carbon: The multidimensional co-benefits of low carbon transitions in Europe. Ecological Economics, 169, 106529.CrossRefGoogle Scholar
Steffen, B. (2020). Estimating the cost of capital for renewable energy projects. Energy Economics, 88, 104783.CrossRefGoogle Scholar
Stem, C. J., Lassoie, J. P., Lee, D. R., & Deshler, D. J. (2003). How eco is ecotourism? A comparative case study of ecotourism in Costa Rica. Journal of Sustainable Tourism, 11(4), 322347.CrossRefGoogle Scholar
Stern, N. H. (2007). The Economics of Climate Change: The Stern Review. Cambridge: Cambridge University Press.CrossRefGoogle ScholarPubMed
Stiglitz, J. (2015). Overcoming the Copenhagen failure with flexible commitments. Economics of Energy and Environmental Policy, 4(2). 2936.CrossRefGoogle Scholar
Stiglitz, S. (2016). The Euro and Its Threat to the Future of Europe. London: Penguin Random House.Google Scholar
Stoneman, P. (1983). The Economic Analysis of Technological Change. Oxford: Oxford University Press.Google Scholar
Studwell, J. (2013). How Asia works: Success and failure in the world’s most dynamic region. Open Road+ Grove/Atlantic.Google Scholar
Swanson, T. (1996). The reliance of northern economies on southern biodiversity: Biodiversity as information. Ecological Economics, 17(1), 18.CrossRefGoogle Scholar
Szklo, A. S., Schaeffer, R., Schuller, M. E., & Chandler, W. (2005). Brazilian energy policies side-effects on CO2 emissions reduction. Energy Policy, 33(3), 349364.CrossRefGoogle Scholar
The Guardian. (2011). ‘Bank reforms: How much did we bail them out and how much do they still owe?’. www.theguardian.com/news/datablog/2011/nov/12/bank-bailouts-uk-credit-crunch.Google Scholar
Tienhaara, K. (2018). Regulatory chill in a warming world: the threat to climate policy posed by Investor-State Dispute Settlement. Transnational environmental law, 7(2), 229250.CrossRefGoogle Scholar
Timperley, J. (2021). The broken $100-billion promise of climate finance – and how to fix it. Nature, 598(7881), 400402.CrossRefGoogle ScholarPubMed
Trumbull, R. (1982). World’s richest little isle. New York Times. 7 March. https://www.nytimes.com/1982/03/07/magazine/world-s-richest-little-isle.html.Google Scholar
Tucker, T. N., & Meyer, T. (2022). Reshaping global trade and investment law for a Green New Deal. In Tienhaara, K., & Robinson, J. (Eds.). (2022). Routledge Handbook on the Green New Deal. London: Taylor & Francis.Google Scholar
UNCTAD (2013). Economic Development Report. Geneva: United NationsGoogle Scholar
UNCTAD. (2019). State of Commodity Dependence 2019. Geneva: United Nations.Google Scholar
UNCTAD (2023) State of Commodity Dependence 2019. Geneva: United Nations.Google Scholar
UNDP. (2013). Derisking Renewable Energy Investment. New York: United Nations.Google Scholar
UNESCO. (2022). Recommendation on the Ethics of Artificial Intelligence. Paris: UNESCO.Google Scholar
US Department of Energy. (2022). America’s Strategy to Secure the Supply Chain for a Robust Clean Energy Transition. 24 February. Washington, DC : US Department of EnergyGoogle Scholar
US Department of the Treasury (2016). ‘Troubled Asset Relief Program”. Accessible at https://home.treasury.gov/data/troubled-asset-relief-program.Google Scholar
Usman, Z. (2023). ‘The World Bank Must Do More with Less’. Foreign Policy. 29 March.Google Scholar
Usman, Z., Abimbola, O., & Ituen, I. (2021). What does the European green deal mean for Africa?. Carnegie Endowment for International Peace. https://carnegieendowment.org/2021/10/18/what-does-european-green-deal-mean-for-africa-pub-85570.Google Scholar
van Asten, P. J., Wairegi, L. W. I., Mukasa, D., & Uringi, N. O. (2011). Agronomic and economic benefits of coffee–banana intercropping in Uganda’s smallholder farming systems. Agricultural Systems, 104(4), 326334.CrossRefGoogle Scholar
van der Ploeg, F., & Rezai, A. (2020). Stranded assets in the transition to a carbon-free economy. Annual Review of Resource Economics, 12(1). 281–298.CrossRefGoogle Scholar
Vergara, W., Rios, A. R., Paliza, L. M. G., et al. (2013). The Climate and Development Challenge for Latin America and the Caribbean: Options for Climate-Resilient, Low-Carbon Development. Washington, DC: Inter-American Development Bank.Google Scholar
Vieira, H. (2017). Low-carbon services can enhance the UK’s economic prospects. LSE blogs. 28 August.Google Scholar
Viner, J. (1950). Full employment at whatever cost. The Quarterly Journal of Economics, 64(3), 385407.`CrossRefGoogle Scholar
Viteri Andrade, A. (2019). Impacto económico y laboral del retiro y/o reconversión de unidades a carbón en Chile (Estudio desarrollado para el Ministerio de Energía de Chile).CrossRefGoogle Scholar
Vogt-Schilb, A., & Feng, K. (2019). The Labor Impact of Coal Phase Down Scenarios in Chile. Washington, DC: Inter-American Development Bank.CrossRefGoogle Scholar
Volz, U., & Aitken, D. (2022). Public Debt in the Time of COVID-19 and the Climate Crisis. Background Paper for the Financing for Sustainable Development Report 2022. New York: United Nations.Google Scholar
Wade, R. (1990). Industrial policy in East Asia: Does it lead or follow the market? In Gereffi, G. and Wyman, D. L., eds., Manufacturing Miracles: Paths of Industrialization in Latin America and East Asia. Princeton: Princeton University Press, pp. 231266.CrossRefGoogle Scholar
Weitzman, M. L. (1992). On diversity. The Quarterly Journal of Economics, 107(2), 363405.CrossRefGoogle Scholar
Weitzman, M. L. (2007). A review of the Stern Review on the economics of climate change. Journal of Economic Literature, 45(3), 703724.CrossRefGoogle Scholar
White House. (2023). Remarks by National Security Advisor Jake Sullivan on Renewing American Economic Leadership at the Brookings Institution. Speeches and Remarks. 27 April.Google Scholar
WTO (2016). India – Certain Measures Relating to Solar Cells and Solar Modules. Report of the Panel Wt/Ds456/R. Geneva: World Trade Organisation.Google Scholar
World Bank. (2017). The Growing Role of Minerals and Metals for a Low Carbon Future. Washington, DC: World Bank.Google Scholar
World Bank. (2022). Poverty and Shared Prosperity 2022: Correcting Course. Washington, DC: The World Bank.Google Scholar
World Meteorological Organization. (2021a). State of the Climate in Africa 2020. Geneva: WMO.Google Scholar
World Meteorological Organization. (2021b). State of the Climate in Latin America and the Caribbean 2020. Geneva: WMO.Google Scholar
Wu, M., & Salzman, J. (2014). The next generation of trade and environment conflicts: The rise of green industrial policy. Northwestern University Law Review, 108, 401–474.Google Scholar
Zenghelis, D. (2016). 10. Decarbonisation: Innovation and the economics of climate change. The Political Quarterly, 86, 172190.CrossRefGoogle Scholar
Figure 0

Figure 1 Revealed comparative advantage in low-carbon technology products and environmental goods (2019–2021)7

Source: Elaboration based on the IMF climate dataset
Figure 1

Figure 2 Mapping commodity-dependent economies

Source: UNCTAD
Figure 2

Figure 3 Global (uneven) distribution of jobs created in renewable energies

Source: Author’s elaboration using data from the World Bank, IRENA, and UN Comtrade
Figure 3

Figure 4 Distribution of patents filed in renewable energy technologies, by country, in 2014

Source: IRENA database
Figure 4

Figure 5 Export market shares of low-carbon technology products (average 2019–2021)

Source: Author’s elaboration based on data provided by the IMF climate dataset
Figure 5

Figure 6 China’s ascension in terms of environmental goods exports, 2000–2021

Source: Author’s elaboration based on data provided by the IMF climate dataset
Figure 6

Figure 7 Export market shares of various low-carbon technologies by country in 2020

Source: Author’s elaboration based on multiple sources, including OEC, UN Comtrade, IMF Climate data monitor and EurObserver’ER, and ITC databases
Figure 7

Figure 8 Distribution of planned investments in announced hydrogen projects until 2030

Source: Based on Hydrogen Council and McKinsey & Company (2022)
Figure 8

Table 1 The green industrial policy toolbox

Figure 9

Table 2 Multidimensional and overlapping policy tools for green economic transformation

Source: Author’s elaboration
Figure 10

Figure 9 Weighted average cost of capital for solar PV projects at 2017 interest rates

Source: Based on Steffen (2020)
Figure 11

Figure 10 Renewable energy investment per capita in 2021

Source: Based on Wood Mackenzie, BNEF, and IRENA data
Figure 12

Figure 11 The value of biodiversity as an input into R&D processes

Source: Lebdioui (2022)

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