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.

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.

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.

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.

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.