Abstract: According to recent assessments, the United States has considerably more recoverable natural gas in shale formations than was previously thought. Such a development raises expectations that U.S. energy consumption will shift toward natural gas. To examine how the apparent abundance of natural gas and projected growth of its use might affect natural gas prices, production, and consumption, we use NEMS-RFF to model a number of scenarios—reflecting different perspectives on natural gas availability, the availability of competing resources, demand for natural gas, and climate policy—through 2030. We find that more abundant shale gas resources create an environment in which natural gas prices are likely to remain attractive to consumers—even as policy advances additional uses of natural gas to reduce carbon dioxide emissions and bolster energy security.

Abstract: Because conventional command-and-control environmental regulation often performs poorly in developing countries, policymakers are increasingly experimenting with alternatives, including state-sponsored voluntary regulatory programs that provide incentives, but not mandates, for pollution control. Although the literature on this trend is quite thin, research in industrialized countries suggests that voluntary programs are sometimes ineffective because they mainly attract relatively clean participants seeking to free-ride on unrelated pollution control investments. We use plant-level data on more than 60,000 facilities to identify the drivers of participation in the Clean Industry Program, Mexico’s flagship voluntary regulatory initiative. Our results suggest that the threat of regulatory sanctions drives participation in the program. Therefore, the program does appear to attract relatively dirty firms. We also find that plants that sold their goods in overseas markets and to government suppliers, used imported inputs, were relatively large, and were in certain sectors and states were more likely to participate in the program, all other things equal.

Abstract: This paper presents an empirical study of schooling attendance and collection of environmental resources using cross-sectional data from the Kiambu District of Kenya. Because the decision to collect environmental resources and attend school is jointly determined, we used a bivariate probit method to model the decisions. In addition, we corrected for the possible endogeneity of resource collection work in the school attendance equation by using instrumental variable probit estimation. One of the key findings is that being involved in resource collection reduces the likelihood of a child attending school. The result supports the hypothesis of a negative relationship between children working to collect resources and the likelihood that they will attend school. The results further show that a child’s mother’s involvement in resource collection increases school attendance. In addition, there is no school attendance discrimination against girls, but they are overburdened by resource collection work. The study recommends immediate policy interventions focusing on the provision of public amenities, such as water and fuelwood.

Abstract: Soil degradation is one of the most serious environmental problems in the highlands of Ethiopia. The prevalence of traditional agricultural land use and the absence of appropriate resource management often result in the degradation of natural soil fertility. This has important implications for soil productivity, household food security, and poverty. Given the extreme vulnerability of farmers in this area, we hypothesized that farmers’ risk preferences might affect the sustainability of resource use. This study presents experimental results on the willingness of farmers to take risks and relates the subjective risk preferences to actual soil conservation decisions. The study looks at a random sample of 143 households with 597 farming plots. We found that a high degree of risk aversion significantly decreases the probability of adopting soil conservation. This implies that reducing farmers’ risk exposure could promote soil conservation practices and thus more sustainable natural resource management. This might be achieved by improving tenure security, promoting access to extension services and education, and developing off-farm activities that generate income.

Abstract: This paper investigates the opportunities for reducing the pressure of urban centers on rural forest areas, using a dataset of 350 urban households in Tigrai in northern Ethiopia. We applied an almost-ideal demand system to fuels. Because the same fuels were not always used by households, the analysis started with a probit model of fuel use. The inverse Mills ratios derived from it were inserted into the estimation of the fuel demand system to obtain a full set of price and income elasticities. The results suggest that reducing the pressure of urban centers on local forests cannot be seen in isolation from broader development policies aimed at raising the level of education and income of the population. Higher income also stimulates the demand for fuel.

Abstract: Devoting time to off-farm activities, while complementing agricultural incomes, may be constrained by labor availability and financial capacity. This paper assesses the importance of rainfall patterns, which condition the availability of agricultural labor, and financial constraints on off-farm employment decisions. Using panel data from Ethiopia, which include experimental rate-of-time preference measures, we found that these and rainfall are significant determinants off-farm employment. Rural development policies should take into account the financial capacity of households and the role of offfarm opportunities as safety nets in the face of weather uncertainty.

Abstract: Dependency of urban Ethiopian households on rural areas for about 85 percent of their fuel needs is a significant cause of deforestation and forest degradation, resulting in growing fuel scarcity and higher firewood prices. One response to reducing the pressure on rural lands is for urban households to switch fuel sources (from fuelwood to electricity, for example) to slow deforestation and forest degradation and reduce indoor air pollution. However, such an energy transition is conditioned on the adoption of appropriate cooking appliances or stove technologies by the majority of users. This paper investigates urban energy transition and technology adoption conditions using a dataset of 350 urban households in Tigrai, in northern Ethiopia. Results suggest that the transition to electricity is affected by households adopting the electric mitad cooking appliance, which in turn is influenced by the level of education and income, among other things.