This study examines the impact of climate change, defined as long-term changes in temperature and precipitation patterns due to natural and human factors, on women's employment in Burkina Faso, highlighting labour market participation and gender disparities. Using a static computable general equilibrium model calibrated with a gender-specific social accounting matrix, it evaluates two climate scenarios: a 2.4°C temperature increase and a 7.5 per cent decrease in precipitation by 2050. The results indicate that these climate shocks significantly reduce women's employment opportunities. The supply of paid labour for women may decrease by 3.9 per cent, with skilled women experiencing greater job losses than their unskilled counterparts. In rural areas, the domestic workload could increase by up to 0.28 per cent, further limiting women's labour market participation. These changes reinforce gender inequalities and contribute to a decline in real GDP. To counter these effects, investments in climate-resilient agriculture, water and energy infrastructure, and women's entrepreneurship are essential. Gender-responsive policies are needed to promote inclusive economic growth and reduce employment disparities.

The scope sensitivity test is used to validate value estimates of non-market environmental goods and services derived from the contingent valuation method. The absence of economic scope could suggest invalid value estimates. Recent studies have attributed scope insensitivity to affective, cognitive, and behavioral factors. In this study, we extend the behavioral insights in explaining scope insensitivity by incorporating insights from the theory of mental accounting. Our empirical results indicate that if subjects consider the environmental good as part of their recreational budget within a mental accounting framework, we can explain the scope insensitivity with otherwise standard preference.

This study examines the intricate relationship between financial development, institutional quality and environmental efficiency. While financial development has the potential to support environmental sustainability, concerns remain regarding its unintended negative effects through unchecked economic expansion. The objective of this research is to investigate how financial development affects environmental efficiency and to assess the moderating role of institutional quality, particularly when financial development proxies reflect financial market accessibility and efficiency. Using a directional distance function within a stochastic frontier framework and incorporating multiple financial development indicators alongside measures of institutional quality, we find that financial development significantly reduces environmental inefficiency, with institutional quality strengthening this effect. These results highlight the importance of policy approaches that simultaneously enhance financial development and institutional quality. Furthermore, our findings support targeted initiatives such as promoting green finance, building institutional capacity and investing in research and data infrastructure to inform evidence-based policymaking for sustainable development.

This study explores the heterogeneous and asymmetric macro-financial effects of weather-related shocks in Central, Eastern and Southeastern European countries, depending on the level of underlying macro-financial vulnerabilities. Focusing solely on acute physical risks – those arising from extreme weather events – it employs panel quantile regression analysis to examine data from 2000Q1–2022Q4 for 17 countries in the region. Notably, we find that weather shocks – particularly droughts, floods, heatwaves and wildfires – exacerbate macroeconomic and financial imbalances, increasing the susceptibility of already vulnerable economies to additional risks. Specifically, countries with higher economic imbalances suffer more severe output disruptions and heightened inflationary pressures following a weather shock. While the immediate impact of climate shocks on external imbalances is limited, countries with existing vulnerabilities may still encounter longer-term pressures on trade and investment patterns. Additionally, extreme weather events can intensify financial vulnerabilities for countries that are already grappling with lower levels of financial resilience.

Air pollution remains a major challenge, especially in developing countries, requiring joint efforts from governments and society. This study examines how mass media, through its emotional tone, functions as an informal regulator of air pollution in China’s “war on air pollution”. Using daily data on media sentiment, air quality and related variables across Chinese cities, we find that negative emotional tones in environmental news are significantly associated with lower pollution levels. We identify mechanisms through which media influence public awareness, trigger government responses and pressure firms to reduce emissions. Our findings highlight the media’s role beyond information dissemination to shape agendas and social norms, even in contexts with restricted press freedom. This study offers new insights into how emotional framing in mass media contributes to environmental governance in developing countries.

We describe the main insights from the papers included in this special issue, Challenges for the Development of Latin America in the Anthropocene: Current Research in Environmental Economics. The contributions are organized around three themes: the economic and welfare impacts of temperature variability, the role of institutions and user rights in shaping environmental governance and the effectiveness of regulatory instruments for managing ambient and atmospheric pollution. Together, these papers show that environmental outcomes in Latin America are deeply shaped by institutional capacity, governance quality and social inequality. By combining rigorous empirical analysis with attention to local contexts, they demonstrate how environmental economics can inform policy responses to the triple planetary crisis of climate change, biodiversity loss and pollution.

This paper presents a macroeconomic framework for carbon markets. We set up a global climate-economy with carbon-intensive energy inputs, renewable energy, natural carbon sinks, and a carbon capture technology to show that (i) within a comprehensive carbon pricing system, a carbon tax alone implements any given path of carbon emissions; (ii) ‘additionality’ is not a property of the optimal carbon pricing system; and (iii) without a carbon tax, renewable subsidies, preservation of carbon sinks and a price for carbon capture are needed.

Droughts are becoming increasingly common in India, where 50 per cent of the labour force works in agriculture, and most agricultural production is rainfall-dependent. This paper investigates the extent to which rural households adapt to drought – defined as rainfall deficiency – by reallocating labour from agriculture to other sectors of the economy. We estimate a household-level fixed-effects regression model and find that household agricultural employment declines in the year following a drought. Furthermore, these effects are mediated by job skills and land ownership. We find that households with working members who have completed primary education account for most of the workers who exit the agricultural sector. In contrast, we find that households that own land increase their agricultural labour share after experiencing a drought. Thus, while we find that drought causes households to diversify away from agriculture on aggregate, the extent of this structural change is mitigated by the behaviour of landowners.

To enhance the supervision of regional environmental issues, China initiated a nationwide campaign in 2007 to establish environmental courts and formulate local environmental regulations. This study selected Shanghai and Shenzhen A-share listed companies from 2004 to 2021 as its research sample to examine the impact of local environmental legislation and the establishment of environmental courts on corporate carbon emissions. The findings indicate that the combined effect of these measures significantly curbs carbon emissions. Additionally, the study identifies that the intensity of local environmental court establishment and the implementation of corporate pollution charges or environmental protection taxes are critical mechanisms through which environmental legislation and court establishment reduce corporate carbon emissions. Finally, the interaction of environmental legislation and court establishment on corporate carbon emissions is most pronounced in regions where the government exhibits lower environmental concern, in state-owned enterprises, in enterprises located in the eastern region and in highly polluted cities.

Environmental taxation is often justified by the ‘double dividend’ hypothesis, yet evidence overwhelmingly derives from high-income countries. In low-income countries (LICs), where broadening the tax base is a central fiscal priority, we identify a special case – the ‘tax base’ double dividend– in which environmental levies simultaneously curb emissions and strengthen revenue capacity. Exploiting Uganda’s 2018 reform of vehicle import duties as a natural experiment, we use administrative microdata covering all motor vehicle imports and a difference-in-differences strategy to assess this proposition. The reform generated substantial revenue gains alongside modest improvements in the emissions profile of imports. Effects varied by vehicle type, highlighting the need for policy tailoring. Drawing on these results, we outline design principles for LICs, emphasising sequencing, enforcement and inter-agency coordination. Uganda’s experience shows that administratively simple, import-based carbon taxes can serve as an effective and politically feasible entry point to carbon pricing while advancing domestic resource mobilisation.

This study examines whether different biodiversity proxies – species, habitat and functionality – satisfy the scope sensitivity and plausibility criteria in willingness to pay (WTP) estimation using a choice experiment in Manu National Park, Peru. We introduce the network of species interactions as a proxy for functionality and apply latent class (LC) models, including attribute non-attendance (ANA), to account for heterogeneity in preferences. Our results indicate that functionality is the only proxy consistently meeting both validity criteria across all specifications. LC analysis reveals two segments: one (74.4 per cent) displaying coherent, scope-sensitive WTP across biodiversity attributes, and another (25.6 per cent) less engaged, disregarding standard proxies but still valuing networks. Even under ANA constraints, networks remain salient for less attentive respondents, underscoring their cognitive accessibility in complex ecological contexts. These findings highlight the methodological and policy relevance of functionality-based proxies for biodiversity valuation in megadiverse environments, where conventional measures may fail to elicit behaviourally consistent responses.

Artisanal-and-small-scale gold mining supports millions of livelihoods in the Global South but is the largest anthropogenic source of mercury emissions. Many initiatives promote mercury-free technologies that small miners could employ. Few document mercury impacts. We study an alternative: instead of processing themselves, small miners sell their ore to plants employing larger-scale, mercury-free technologies that also raise gold yields. Some ore-selling occurs without policy intervention, yet impacts on incomes and mercury use remain unclear. We assess ore-selling preferences of female waste-rock collectors (jancheras) in Ecuador, using a discrete-choice experiment. Results demonstrate that jancheras generally are open to ore-selling, yet often reject options similar to a recent pilot intervention. Offers that address formalization hurdles (invoicing), inabilities to meet quantity minima (given limits upon association, storage, and credit), and constraints on trust (including in plants’ ore testing) could increase adoption by tailoring related interventions to the preferences of and challenges for defined populations.

This study addresses the urgent need for low-carbon energy transition (LCET) in the Global South, where vulnerability to climate change is high and most countries have ratified the Paris Agreement and Nationally Determined Contributions. It emphasizes the importance of research in supporting this transition, particularly through the lens of digital technologies. Despite its relevance, existing studies on the topic remain limited and fragmented. This study reviews the literature on digital infrastructure in LCET, identifies key gaps and ambiguities and offers insights to inform future research and policymaking in the Global South.

The economic valuation of recreational ecosystem services is challenging due to difficulties in obtaining geo-tagged information of users. The objective of this study is to validate crowdsourced and user-generated content in order to predict visitation patterns to 16 national parks in Spain. The results may serve to encourage its utilization in the study of recreational demand in other countries, particularly developing countries, where on-site visitor information may be limited or expensive to gather. The present article employs a negative binomial regression model to evaluate the validity of two sources of data: Flickr and mobile phones. The accuracy of predictions exhibited variation across the 16 parks, indicating that site-specific characteristics, such as the seasonality of visitation patterns, may be of significance. The utilization of mobile phone data for modelling visitors yielded enhanced predictive capacity, as shown by the goodness of fit of the estimated models.

In many tourism-dependent islands, an acute imbalance between increasing demand for wastewater management and the capacity of existing sewage infrastructure represents an increased risk for ecosystems and population health. Given that locals may be opposed to increasing tourism taxes to fund investments in sewerage, promoting charitable giving among tourists may be an alternative to improve wastewater management in tourist destinations. Using a contingent valuation survey, this study assesses whether tourists are willing to donate to improve wastewater management in San Andres Island, Colombia. Split-sample treatments were implemented to examine the response of tourists' giving preferences to priming communications regarding the effects of poor wastewater management. Results indicate that tourists are willing to donate to improve local wastewater management. Our findings also provide useful insights about tourists' giving preferences to design effective charitable giving campaigns to improve wastewater management.

It has long been challenging to assess local residents’ quality of life, which is affected by numerous natural and man-made amenities. We develop a novel compensating differential model of quality-of-life rankings applicable to developing countries by introducing farm income into the household budget alongside housing and labour market differentials. We apply this model to Indonesia using detailed household data from the Indonesian Family Life Survey for two different time periods and combining estimates of agricultural, off-farm labour and housing market differentials. We find heterogeneous amenity impacts across the agricultural and off-farm labour sectors. We use our model to show how significant changes in rankings across time are consistent with contemporaneous internal migration patterns in Indonesia. These rankings yield important information for policymakers on expected changes in migration and can be used to help inform public investment.

Using novel nighttime lights and high-resolution atmospheric reanalysis, this paper exploits exogenous fluctuations in temperature and precipitation to identify the causal effects of weather disturbances on local economic growth in the Philippines – the world’s most disaster-prone country. Our findings reveal that heightened temperature variability significantly dampens growth, but only in poor municipalities. This effect persists for at least 2 years after the initial shock. Furthermore, the relationship between weather shocks and growth is nonlinear. We also demonstrate that adverse weather events impede growth by disrupting agricultural productivity and essential service sectors, including wholesale and retail trade, health and education. Overall, our results highlight the importance of understanding the distributional impact of climate change within countries, its underlying mechanisms, and how economic development policies can help shield poor municipalities from the vagaries of the weather.

While previous scientific literature has found evidence that warming winters result in a loss of crop yields, recent studies suggest that temperature alone may not be the sole factor in determining yields. In this study, we investigate multiple climatic factors (freezing degree days (FDD) and snow cover fraction) to evaluate the heterogeneous impact of snowpack insulation on winter wheat yields in China. We find that a unit increase in FDD causes a loss of 2.37 kg/hectare in winter wheat yields. Furthermore, our results show that snowpack insulation has a statistically significant negative effect on winter wheat yields at lower and middle quantiles, but a statistically significant positive effect at higher quantiles of the winter wheat yields distribution, suggesting that snowpack insulation is important in maintaining higher winter wheat yields.

Will rising temperatures from climate change affect labour markets? This paper examines the impact of temperature on hours worked, using panel data from Peru covering the period from 2007 to 2015. We combine information on hours worked from household surveys with weather reanalysis data. Our findings show that high temperatures reduce hours worked, with the effect concentrated in informal jobs rather than in weather-exposed industries. These results suggest that labour market segmentation may shape how climate change affects labour outcomes in developing countries.