In the State of Ohio, the electric regulatory landscape permits local governments to become energy suppliers to residents and small businesses through community choice aggregation (CCA). Some CCAs provide enrollees 100% renewable electricity. Concurrently, the federal government offers an income tax credit (ITC) for the purchase of a solar array. With policy incentives, it is important to ensure they encourage behavior beyond the baseline scenario without the ITC. This is known as “additionality.” Renewable aggregation programs may crowd out the benefits of the ITC, violating additionality. This paper assesses additionality of the ITC in the context of Ohio’s CCA programs. The actual additionality can depend on whether renewable energy is already being supplied to the site of a solar array. Hence, we study the relationship between CCA and solar adoption probability to determine whether tax incentives are additional. Using panel data methods and post-estimation simulations, we discern if additionality is violated where these programs overlap. We find aggregation programs increase the probability of solar adoption and that $0.79 of every dollar spent on the income tax credit in Ohio is non-additional. This will help policymakers determine the efficacy of funds allocated to their programs.

We study the provision problem of an asymmetrically valued public project using a novel mechanism proposed by Van Essen and Walker (2017). Under this mechanism, each player simultaneously submits a price (either a contribution or a requested compensation) and a desired project quantity. In our context, two non-hosts interact with the project’s host, who gets harmed by provision. The minimum submitted quantity is provided if the contributions are sufficient to cover the building costs and the host’s requested compensation. We test the efficiency-enhancing effects of communication and find that, although it led to larger provided quantities, the probability of provision is unaffected, and the non-hosts kept most of the efficiency surplus. Moreover, the effect of communication disappears in settings where the host demands a larger compensation in equilibrium. The coding of chat logs reveals that veto threats are rare (1%), although the mechanism allows to do so. Reaching non-binding agreements and the host’s engagement with communication are positively correlated with the probability of provision.

This paper examines an endogenous growth model that allows us to consider the dynamics and sustainability of debt, pollution, and growth. Debt evolves according to the financing adaptation and mitigation efforts and to the damages caused by pollution. Three types of features are important for our analysis: the technology through the negative effect of pollution on TFP; the fiscal policy; the initial level of pollution and debt with respect to capital. Indeed, if the initial level of pollution is too high, the economy is relegated to an endogenous tipping zone where pollution perpetually increases relatively to capital. If the effect of pollution on TFP is too strong, the economy cannot converge to a stable and sustainable long-run balanced growth path. If the income tax rates are high enough, we can converge to a stable balanced growth path with low pollution and high debt relative to capital. This sustainable equilibrium can even be characterized by higher growth and welfare. This last result underlines the role that tax policy can play in reconciling debt and environmental sustainability.

We propose a simple indicator for the climate-related transition risks of bank lending based on transaction-level loan data. The underlying idea is that the higher the greenhouse gas intensity of an economic activity, and thus that of the debtor involved, the higher its transition risk. The relationship is mapped through two min-max-normalised functions, each of which represents a scenario for the future characteristics of the green transition. The concept is versatile and applicable to different dimensions at different levels of aggregation (banking system or individual banks, whole economy or specific sectors). As a practical example, we discuss the proposed indicator using Hungarian data for the period 2012–2020.

The EU's non-financial reporting (NFR) regulations have significant impacts on Global South stakeholders, firms that must report, actors lower in the value chain, and organisations seeking investment from NFR-compliant firms or institutions. This paper sets forth six proposals to improve the global equity and sustainability implications of the EU's NFR from a Global South perspective. The proposals involve (1) developing regulation cooperatively with the Global South; (2) streamlining reporting to enable the regulations to have real effects and limit incorrect accounting; (3) digitalising reporting through accessible technologies for greater accountability and lower administrative burdens; (4) mandating scope 3 emissions accounting and incentivising related investment; (5) anchoring financial institutions' role in ethical investment and bridging Northern and Southern actors; and (6) strengthening citizen data and sustainability literacy to close the circle of incentives, implementation, and impact.

In this study, we examine how local government debt responds to environmental policies in China. We show that when an environmental policy impacts the economy, local governments are likely to increase debt issuance, with this effect becoming stronger when local officials have greater career incentives within the Chinese bureaucratic system. Over-accumulation of local government debt, which leads to social welfare losses, is closely tied to the urgency local officials feel to secure promotions. Our analysis offers valuable insights for better coordination between fiscal and environmental policies.

This paper analyzes inequities in the distribution of air pollution in Mexico at the detailed scale of localities. We find that air pollution increases in areas that experience a decline in socioeconomic status. We utilize 15 years of remote sensing data on fine particulate matter (smaller than 2.5 microns) for more than 116,500 localities across Mexico. Our panel data models show that localities that face a decline in socioeconomic status experience a 0.24–0.83 per cent increase in annual mean pollution concentrations. Our results hold up to controlling for changes within each municipality and instrumenting with broader municipality level socioeconomic status to test for ecological fallacy. We find that local air pollution inequities are reduced by political participation channels, but not as much by increased share of manufacturing activities due to polluters locating in poorer neighborhoods. Highly dense, urban municipalities witness higher inequities most likely due to traffic, construction, and agricultural fires.

Compromised kidney function is associated with an array of environmental contaminants and pathogens that may be considered for regulation. However, there are few valuation estimates for kidney effects for use in benefit–cost analyses, particularly willingness-to-pay estimates. This paper is one of several surveys valuing morbidity developed by the OECD Surveys to elicit Willingness-to-pay to Avoid Chemicals-related negative Health Effects project, which aims to improve the basis for benefit–cost analyses. We report the results of a stated preference survey valuing reduced the risk of symptomatic chronic kidney disease, filling an important gap in the valuation literature and addressing a need for applied benefits analysis of chemical regulation. The survey was administered to representative samples in each of 10 countries: Canada, Chile, China, Denmark, Germany, Italy, Norway, Türkiye, the United Kingdom, and the United States. The mean (median) WTP for an average reduction of 3.5 in 1,000 of the risk of serious kidney disease over 5 years is $2,609 ($764), corresponding to a mean (median) value per statistical case (VSC) of chronic kidney disease of $805,000 ($224,000). The mean VSC varies between $700,000 for Canada and $1,200,000 for Türkiye.

We explore the changes in central government administration due to European Union (EU) membership and its consequences for policy outcomes and economic efficiency in Finland and Sweden. Both countries became members of the EU in 1995. Upon joining the union, member states are expected to adopt common legislation and are encouraged to develop similar rule-making procedures. The actual implementation of EU directives varies considerably between member states, however. This is also the case for Finland and Sweden. Despite the two Nordic countries for historical reasons having had similar government systems, upon becoming members of the EU, they started to diverge. Using a model of delegation and comparing the more centralized Finnish system with the decentralized institutional setup in Sweden, we show that the Swedish approach leads to a stricter than optimal environmental policy, which in turn makes EU policy non-optimal from a global point of view, ceteris paribus. We also provide empirical support for our findings in the form of some example cases. We focus on environmental policy since this is an area that has been high on the EU agenda.

Cost-share contracts, offered through working lands programs, are instrumental in addressing environmental externalities from agriculture and generating ecosystem services. However, the persistent trend of noncompliance with cost-share contractual terms has become a problem for funding agencies and policymakers. This paper aims to study noncompliance issues within the US working lands programs using historical county-level panel data (1997–2019) from Louisiana. The results show that noncompliance is attributed more to cancellations than terminations due to flexible provisions within the cancellation option. The significant incentive effect of payment obligations reveals that revisiting payment rates could reduce contract noncompliance and mitigate moral hazard.

Community Rating System (CRS) incentivizes investments in risk reduction above NFIP standards using discounts on insurance premiums. These discounts are cross-subsidized by increasing premiums in non-CRS communities. We examine the distribution of these subsidies and find that redistribution does occur, but the gains and losses are not economically large with 95% of households gaining or losing no more than 0.3% of household income. We also examine their relationship with other community characteristics and find that the strongest predictor of premium reductions is the underlying flood risk level within the community. Thus, CRS appears to reduce the cost of living in the riskier communities.

The COVID-19 pandemic and government responses led to a halt in economic activity. While this reduced pollution in urban areas, its effect on deforestation in areas outside of cities is unclear. Deforestation may have decreased due to the restrictions on economic activity, but, it may have increased due to the drying up of alternative income sources. We analyzed bi-weekly data on tropical forests worldwide in relation to the dates when different countries implemented lockdown restrictions. Our analysis found that while lockdowns did reduce mobility in forest municipalities, the average effect on deforestation was not significant. However, we did observe variations in the impact of lockdowns on deforestation based on the share of lockdown-vulnerable GDP and the level of government effectiveness. These results stand across tropical countries and within Colombia. These findings highlight the importance of alternative income sources and strong state capacity for effective policies aimed at reducing deforestation.

Last year saw yet another year of weather extremes. The Copernicus Climate Change Service run by the European Centre for Medium-Range Weather Forecasts on behalf of the European Commission (Copernicus, 2024) measured 2023 as being globally the warmest year since records began in 1850. This was by a large margin (0.17 per cent) over the previous record in 2016, with global surface air temperature at nearly 1.5°C above pre-industrial levels. While last year’s observations embodied an El Niño effect, which every few years sees temperatures affected by warmer waters coming to the surface of the tropical eastern Pacific Ocean, changes and anomalies consistently observed over the last few years across the globe are becoming more pronounced. What is commonly labelled “climate change” is turning into a global climate emergency. No economy or society are immune to its effects. Today, we see the global average temperature at over 1.1°C above pre-industrial levels, a rise that has been extraordinarily rapid on a planetary timescale, and one that has been primarily caused through our (humans) burning fossil fuels. Nearly a decade has passed since the United Nations’ Climate Change Conference in 2015, COP21, where 196 nations adopted The Paris Agreement – a legally binding international treaty on climate change. Its goal was to hold “the increase in the global average temperature to well below 2°C above pre-industrial levels” and to pursue efforts “to limit the increase to 1.5°C”.

Climate change is a complex global issue that requires widespread understanding, support and collaboration for effective solutions. This research delves into the crucial role of communication in tackling climate change and reaching net-zero goals. Leveraging advanced machine learning techniques, we focus on 10 core climate change topics derived from social media conversations over time. This analysis underscores the importance of a holistic and interconnected approach, involving a diverse array of policies at local, national and global levels to combat climate change effectively and attain net-zero objectives. We offer key policy suggestions that can significantly contribute to this vital cause.

The social cost of greenhouse gases is important in many regulatory impact analyses. However, calculations of the social cost of greenhouse gases are highly complex and periodically revisited. We offer seven recommendations to improve current estimates. These include recommendations to use both country-level and global measures of the social cost of greenhouse gases, to use country-specific values for monetizing climate damages, to represent uncertainties by reporting distributions instead of using only central values, and to conduct a temporal distributional analysis that shows the magnitudes of climate damages across generations. We also provide recommendations for the discount rates that should be used when estimating the social cost of greenhouse gases, and the appropriate discount rates for regulatory impact analyses that include the social cost of greenhouse gases.

This article compares the U.S. Environmental Protection Agency’s (EPA) ex ante cost analysis of its 1995 Large Municipal Waste Combustor (MWC): New Source Performance Standards and Emissions Guidelines rule to an ex post assessment of its cost. Unlike many retrospective cost analyses, where ex post assessments are limited due to lack of data on compliance costs, this case study is unique because we located and used plant-level survey data from the U.S. Department of Energy and Governmental Advisory Associates in a comparison of ex ante and ex post costs of individual MWCs. We find the ex post capital expenditures for nitrogen oxide control systems are typically lower than the EPA ex ante estimates, while the ex post capital expenditures for mercury control systems tend to be higher than the EPA ex ante estimates. Finally, while we find a few outliers, the average ratio of ex post to ex ante capital expenditures for particulate matter and sulfur dioxide emissions control is near unity.

Motivated by traffic congestion and air pollution, Beijing is one of several major cities to restrict vehicle ownership by requiring residents to win a lottery for the right to obtain an additional car. We examine the welfare cost of preventing people from owning cars because of misallocation: under a lottery, some individuals with low willingness to pay (WTP) for cars can obtain cars, while other individuals with high WTP cannot. We estimate welfare costs using a new contingent valuation method survey of Beijing lottery participants which we designed and conducted explicitly for this purpose. We find that restricting vehicle ownership reduced private welfare by 26 billion yuan. Back-of-the-envelope calculations suggest that the benefits of lower congestion and pollution roughly equal the costs. Our WTP estimates indicate a net welfare gain of approximately 32 billion yuan if Beijing’s lottery were replaced with an auction, which is similar to previous estimates.

This paper presents research on the benefits of removing legacy pollutants in Great Lakes Areas of Concern (AOCs). AOCs are heavily polluted coastal locations identified as priorities for restoration under the Great Lakes Water Quality Agreement (GLWQA) between the United States and Canada. Legacy pollutants pose a human and environmental health risk that can limit opportunities for redevelopment, recreation, and wildlife habitats. The AOC program improves water quality through remediation and restoration projects, which may increase the desirability of living in proximity to AOCs. In this paper, we estimate the economic benefit of cleaning up part of the Milwaukee Estuary AOC with a two-part sorting model using panel data on neighborhood populations and moving decisions before and after a series of remediation actions. Our results provide evidence that residents value remediation, though estimates are sensitive to the definition of the cleanup area. The average annual benefit for a household living near the AOC just downstream of cleanup is $268, with a range of $28-$499 depending on their race and tenure group; the aggregate benefit is $350 million. Results indicate a large difference in benefits between renters and owners but statistically insignificant differences between race groups.

Emissions are directly linked to economic output and consequently subject to business cycle fluctuations. The present study analyses the interactions between climate policies and business cycles through the lens of a New Keynesian dynamic stochastic general equilibrium model. We compare a static cap-and-trade policy with a dynamically adjusting policy in terms of macroeconomic stabilisation, welfare and emissions price dynamics. The results of the quantitative evaluation suggest that a constant policy leads to lower aggregate volatility but is associated with larger welfare costs. In contrast, under the dynamic policy emissions prices and labour markets display less variations.

Climate change is one of the largest threats for biodiversity as changing climatic conditions often make existing habitat sites less suitable. This poses new challenges for species conservation, in particular in agricultural landscapes, where climate change may also induce modifications in agricultural land use. To conserve species in agricultural landscapes, agri-environment schemes (AES) which compensate farmers for implementing conservation measures are commonly used. However, current research on the cost-effective design of AES largely ignores necessary adaptations of conservation measures given climate change. We develop a climate-ecological-economic (CEE) model to examine how the cost-effective design of AES has to be modified under climate change. We apply the model to the conservation of eight meadow bird species in Northern Germany and determine the cost-effective conservation measures under recent and future climatic conditions. We find that the timing of conservation measures in the AES needs to be changed in the RCP8.5 scenario given the species’ phenological adaptations and the impact of extreme events (inundations) on costs. The novelty of the research lies in the development of a CEE model which considers both spatial and temporal changes in costs and benefits to develop recommendations for the cost-effective design of AES under climate change.