This article estimates the effect of financial development on electricity consumption for economies with above and below mean human capital index in 45 African countries. The study applied the simultaneous system GMM estimator (adjusted for cross-sectional dependence) and the Aiken and West slope difference test. We performed further robustness checks, such as sample sensitivity analysis to address potential outlier problem. The result showed that the total effect of financial development on electricity consumption is negative, but the direct and indirect effects are different.

This study examines the effect of finance on energy efficiency in Africa, addressing two fundamental empirical issues in the energy-finance literature: (1) simultaneous modelling of efficiency estimates and determinants of efficiency and (2) two-way endogeneity problem with income and financial depth. I apply the endogenous stochastic frontier method. Life expectancy at birth instruments for income while religion, latitude of capital city and legal system origin instrument for financial depth.

This study investigates the impact of a clean cooking intervention on primary fuel choice and on households’ willingness to pay for an improved LPG distribution model in Ghana.

AbstractThe current research aims to study the influence of the real estate market and renewable energy on ecological quality in Belgium from 1990 to 2018. The recent study is quite different from the previous empirical literature on environmental quality; it introduces a new discourse on the determinant of environmental quality followed by Belgium's real estate market. This work employed a more robust and advanced econometric technique, that is, the ARDL bootstrap method, to estimate the relationship between the study variables.

We use three rounds of a rich panel data set to investigate the determinants of household cooking fuel choice and energy transition in urban Ethiopia. We observe that the expected energy transition did not occur following economic growth in Ethiopia during the decade 2000–2009. Regression results from a random effects multinomial logit model, which controls for unobserved household heterogeneity, show that households' economic status, price of alternative energy sources, and education are important determinants of fuel choice in urban Ethiopia.

This paper contributes to the growing literature on energy poverty in developing countries. We use a dynamic probit estimator on three rounds of panel data from urban Ethiopia to estimate a model of the probability of being energy poor and to investigate the persistence of energy poverty.

n much of the developing world, cooking accounts for the largest share of women's time in home production. Does relying on solid fuels drive this time burden? This study revisits a clean energy information experiment in rural India to assess the time savings' potential of cleaner cooking technologies. Treatment villages were randomly assigned to receive information about negative health effects of cooking with solid fuels and about public subsidies for cleaner liquid petroleum gas (LPG). Time-use data indicate that primary cooks spend almost 24 hours cooking each week.

Interactions among peers of the same social network play significant roles in facilitating the adoption and diffusion of modern technologies in poor communities. We conduct a large-scale randomized controlled trial in rural India to identify the impact of information from friends on willingness to pay (WTP) for high-quality and multipurpose solar lanterns.

We use a field experiment to identify how differences in preferences and spousal influence result in low willingness to pay (WTP) for technologies that can benefit all household members. We create income-earning opportunities to empower households and conduct an actual stove purchase experiment to elicit their WTP for fuel, time, and indoor air pollution-reducing improved cookstoves. The decision to buy the stove was randomly assigned to either wives, husbands, or couples using either individually or jointly earned income.

We use individual-level data to estimate the effects of long- and short-term exposure to air pollution (PM2.5) on the probability of dying from COVID-19. To the best of our knowledge, our study is the first to look at this relationship using individual-level data. We find that for Mexico City there is evidence of a positive relationship between pollution and mortality that significantly grows with age and that appears to be mostly driven by long- rather than short-term exposure.