This study uses household panel data from Malawi's 2010/11 and 2012/13 Integrated Household Panel Survey to investigate the mitigating role of its Farm Input Subsidy Programme (FISP) against the deleterious impacts of negative rainfall shock on households’ welfare in rural Malawi. The study finds that the FISP has a cushioning role on the negative impact of rainfall shocks. The use of a farm input subsidy scheme enables rural households to substantially increase their food consumption and overall food security, despite the increasing threat of climate change. The results of this study highlight the importance of agricultural policy, such as the FISP, in rural households’ mitigation of weather risk.

Cleaner cooking is an important policy objective in the bid to achieve sustainable development. Despite efforts to encourage cleaner cooking fuel use, biomass fuel is still widely used in many developing countries. This study investigates the role of behavioral factors, particularly risk aversion, in the choice of cooking fuels in Ghana. In addition, we investigate how the improvement of supply infrastructure and services mitigates the impact of risk preferences in fuel choices. By employing data from the recent round of the Ghana Living Standards Survey, we find that risk-averse households are less likely to choose liquified petroleum gas as their cooking fuel. However, the effect is mitigated for households located in districts with more supply infrastructure. Additional analyses reveal the influence of risk and time preferences in other household behavior.

The Indian economy has grown rapidly at 6–8 per cent per year since 1995 and planners aim to sustain an 8 per cent growth rate in the next years. Growth has created considerable optimism about India and its place in the world. After many years of little change, poverty appears to be on the decline with an estimated 5–7 per cent reduction in the late 1990s (Sundaram and Tendulkar, 2003a, b, c; Deaton, 2005). Life expectancy increased from 59 years in 1991 to 64 years in 2008 and the primary school completion rate was at 96 per cent in 2008 (World Bank, 2012). Economic growth has resulted in a boom in the manufacturing and service sectors, large investments in infrastructure and energy projects, and a soaring middle class.

We study the social discount rate, taking into account inequality within generations, that is, across countries or individuals. We show that if inequality decreases over time, the social discount rate should be lower than the one obtained by the standard Ramsey rule under certain but reasonable conditions. Applied to the global discount rate and due to the projected convergence across countries, this implies that the inequality adjusted discount rate should be about twice as high as the standard Ramsey rule predicts. For individual countries on the other hand, where inequality tends to increase over time, the effect goes in the other direction. For the United States for instance, this inequality effect leads to a reduction of the social discount rate by about 0.5 to 1 percentage points. We also present an analytical formula for the social discount rate allowing us to disentangle inequality, risk, and intertemporal fluctuation aversion.

This article investigates whether residents of Mexico City value air quality. Our results suggest that air quality improvement in PM10 is equivalent to a marginal willingness to pay (MWTP) of US$440.31 per property for the period 2006–2013. The corresponding MWTP for PM2.5 is US$880.63, for O3 is US$623.78, and for SO2 is as much as US$2091.50. These estimates are considerably larger in magnitude compared to the few other studies in similar settings. As a percentage of annual household income, these represent 2.44 per cent for PM10, 4.88 per cent for PM2.5, 3.46 per cent for O3 and 11.59 per cent for SO2. Our estimates of land value–pollution elasticities for PM10 (−0.26 and − 0.58) are within range of hedonic estimates for total suspended particulate matter in US cities around the 1970s. The corresponding elasticities range from − 0.55 to − 0.84 for PM2.5, from − 0.06 to − 0.49 for O3 and from − 0.11 to − 0.34 for SO2.

We study climate change policies using the novel pattern scaling approach of regional transient climate response in order to develop a regional economy–climate model under conditions of deep uncertainty. We associate welfare weights with regions and analyze cooperative outcomes derived by the social planner's solution at the regional scale. Recent literature indicates that damages are larger in low latitude (warmer) areas and are projected to become relatively even larger in low latitude areas than at temperate latitudes. Under deep uncertainty, robust control policies are more conservative regarding emissions and, when regional distributional weights are introduced, carbon taxes are lower in the relatively poorer region. Mild concerns for robustness are welfare improving for the poor region, while strong concerns have welfare cost for all regions. We show that increasing regional temperatures will increase resources devoted to learning, in order to reduce deep uncertainty.

We analyze the external effects that arise in the decisions of firms on polluting emissions and in the decisions of parents on the number of births in an optimal control model with three stock variables representing population, economic capital, and pollution. We distinguish two different types of households, which represent opposite ends of a spectrum of potential familial structures: ‘dynastic households’, in which the family sticks together forever and ‘micro-households’, in which children leave their parent's household immediately after birth. We show that the decision of parents on the number of births involves an externality that is qualitatively different for both types of familial structure. Hence, population policy should be different, according to the type of household. A first best result may be obtained in the case of dynastic households if an appropriate tax on the household size is applied, or, in the case of micro-households, if an appropriate tax on children is applied.

Poverty and environmental degradation or deforestation in developing countries have common determinants in underlying economic and institutional conditions that determine factor and product prices and incentives for migration and resource-depleting activities. These determinants include property rights failures (open access to forest lands) but also ‘government failures’ in the form of policies that indirectly promote resource use and retard poverty alleviation. A general equilibrium analysis identifies influences that such distortions have on poverty and environment. Using a numerical GE model, we consider likely effects of Philippine trade policy reforms of the 1990s on determinants of poverty, deforestation, and agricultural land expansion. These reforms marked a significant shift away from the import substitution industrialization strategy that characterized post-independence Philippine development. The results suggest that though reforms would increase poverty in the short term, in the longer run trade liberalization is poverty reducing. The environmental impact can also be positive, provided liberalized trade is combined with appropriate government action to address market failures.

This special issue covers several important aspects of China's environmental policy, ranging from evaluation of government programs (biogas and the Sloping Land Conversion Program) that aim directly to enhance the rural environment, to the reform of natural resource sectors (collective and state forest reforms) that set foundations for the sustainable use of natural resources, and to the impacts of urban environmental policies (including urban transportation management and industrial pollution control policy). We provide an overview of the topic and a brief introduction to each of the contributed papers.

Understanding the extent to which agriculture can adapt to climate change and the determinants of farmers' adaptive capacity are of paramount importance from a policy perspective. Based on household survey data from a large sample in rural China, the present article adopts a panel approach to estimate the potential benefits of long-run adaptation and to identify the determinants of farmers' adaptive capacity. The empirical results suggest that, for various model settings and climate change scenarios, long-run adaptations should mitigate one-third to one-half of the damages of warming on crop profits by the end of this century. These findings support the basic argument of the hedonic approach that omitting long-run adaptations will dramatically overestimate the potential damage of climate change. The paper also finds that household-level capital intensity and farmland size have significant effects on farmers' adaptive capacities.

In the epidemiological literature, the eradication of a wildlife disease through culling is usually described in terms of a constant hunting rate to simulate the selective removal of animals from the population. By using simple SI (susceptible–infected) models, it is easy to prove that, if the hunting rate is high enough, the population eventually drops below a critical threshold level under which the pathogen is deemed to be extinct. However, hunting costs as well as the monetary benefits of disease control are almost systematically neglected. Moreover, the hunting rate is usually assumed to be constant over time, while in reality health authorities can implement more flexible culling policies. In this work we examine a class of more realistic time-variant culling strategies in a cost–benefit framework. Culling strategies differ in the way decisions are made about when and how much to cull; that is, whether hunting occurs when disease prevalence, host population density, or the number of carcasses exceeds (or is below) a given threshold. For each culling strategy, the optimal value of the control parameters and the hunting rate are those that minimize the sum of the culling costs and the sanitary costs associated with infection over a specific period of time. Classical swine fever (CSF) in wild boar populations has been taken as a reference example because of its potential economic impact on industrialized and developing countries.

We show that the optimal time-flexible culling strategy is invariably more efficient than the best traditional strategy in which the hunting rate is held constant through time. We also show that the type of hunting strategy that is selected as optimal depends on the shape of the cost functions.

This study examines how human capital develops in response to early-life weather and pollution exposures in the Philippines. Both pollution and weather are examined in relation to short- and long-term human capital outcomes. We combine a three-decade longitudinal survey measuring human capital development, a database of historical weather, and multiple databases characterizing carbon monoxide and ozone in the Philippines during the 1980s. We find evidence that extreme precipitation and temperature affect short-term anthropometric outcomes, but long-term outcomes appear unaffected. For long-term cognitive outcomes, we find that early-life pollution exposures negatively affect test scores and schooling. These long-term responses to early-life pollution exposures extend to the labor market with reduced hours worked and earnings. The implication is that a 25 per cent reduction in early-life ozone exposure would increase per person discounted lifetime earnings by $1,367, which would scale to $2.05 billion at the national level (or 2 per cent of 2005 GDP).

Conservation practitioners are increasingly turning to incentive-based approaches to encourage local resource users to change behaviors that impact on biodiversity and natural habitat. Three such approaches are buyouts, conservation agreements and alternative livelihoods. We assess the design and performance of these types of marine conservation interventions through an analysis of 27 case studies from around the world. Here we focus on cases that are particularly relevant to designing incentives for Small Island Developing States. Many more opportunities exist for interventions that combine the strengths of these approaches, such as through performance-based agreements that provide funds for education or alternative livelihood development.

The Philippine forest plantation lease is modelled as an option whose value arises from market uncertainty and the irreversibility inherent in sunk costs required to establish plantations. The value of this option could be a significant factor in the planting decisions of leaseholders. Real options theory could help explain why in spite of the prospects of adequate financial returns, Filipino leaseholders are slow to establish plantations. The opportunity cost of investing is demonstrated to be highly sensitive to uncertainty of the future value of the plantation. Real options analysis is also utilized to evaluate policies intended by the Philippine government to promote plantation development.

The relationship between temperature and agriculture outcomes in Brazil has been widely explored, overlooking the fact that most of the country's labor force is employed in non-agriculture sectors. We use monthly individual-level panel data spanning the period from January 2015 to December 2016 to ask whether temperature shocks impact non-agriculture wages in formal labor markets. Our results show that additional days in a month that fall within high-temperature ranges have significant adverse effects on real wages. Assuming a uniform climate change scenario where the daily temperature distribution shifts by 2$^{\circ }$C, we calculate income losses for formal workers in non-agriculture markets equivalent to 0.12 per cent of 2015 GDP.

There is ample evidence that canal systems often fail to reach their design capacity. This study argues that inefficient allocation of water within canals is one cause. This study collects precise measures of farm-level water withdrawals using flow meters in a canal in Pakistan. These data reveal that farmers near the head of the canal get more canal water than farmers near the tail, even accounting for conveyance efficiency. The results suggest that improvements in canal water management would yield efficiency gains for the canal.

We study the economic performance of Benthic Resource Management Areas (BRMAs) in central-southern Chile. The analysis considers 26 managed areas with Agreements of Use declaring Chilean abalone (Concholepas concholepas) to be the main exploited benthic resource from 2001 to 2003. Our analysis explores the role played by several characteristics thought to be potential BRMA performance determinants. These variables were defined and grouped into four types: economic, environmental–biological, institutional–organizational, and organizational leader. Our results indicate that the price of Chilean abalone, the size of the habitable area, the target resource density, the density of other resources, and leader experience are determinant factors for the economic performance of the BRMAs under study.

This study estimates the benefits from adopting Bt cotton seeds in Punjab, Pakistan over two cropping seasons - 2008 and 2009. The study uses the panel modeling approach to determine the average effects of Bt cotton technology on short-run profits, yields and farm inputs. This approach controls for biases resulting from self-selection and endogenous farm inputs. The study shows that, on average, Bt adopting farmers receive 9 per cent higher yields per hectare (ha), reduce per-ha pesticide use by 21.7 per cent, and increase per-ha use of irrigation water by 6 per cent. Our estimates of the increase in cotton yield are far below estimates from previous studies conducted in Pakistan and India, which do not use panel methods. Allowing more Bt cotton varieties and ensuring the availability of quality Bt cotton seeds in the market is likely to lead to further increase in the private benefits from Bt cotton.

Policies to influence land use decisions in agriculture or grazing can increase the ability of invasive species to out-compete native species and thereby disrupt seemingly stable ecological-economic systems. Building off of models of interdependent resources, invasive species and soil fertility, this paper develops a model of shifting cultivation decisions for two types of farmers, one who sees the threat of invasive grasses and one who does not. The paper uses numerical solutions to this dynamic decision problem to examine the impact of various policies on farmer welfare and on the stability of the economic-ecological system. Some policies undermine the resilience of the system, while other policies augment the system's ability to withstand species invasions.