This paper empirically analyzes the determinants of fuel choices and intensity of fuelwood use for residential heating and cooking in central-southern Chile. By using information from a sample of 2761 households in nine urban areas, we first investigate households’ choices of the main fuel used for heating by means of multinomial models. Then we examine the intensity of fuelwood use through fractional probit models. These models allow analyzing the interdependence of fuel use by households, while taking into account households’ individual heterogeneity.

We investigate whether a social information campaign aimed at reducing water use causes a spillover effect on the use of electricity. On average, water use decreased by 6 percent for the treatment group. We identify a positive spillover effect on electricity use among households that had efficient use of water before the campaign. The effect is sizeable: almost a 9 percent reduction. We argue that these results are consistent with a model of cognitive dissonance where the efficient households infer information about electricity use from the water use information.

Evidence from south-central Chile shows that the concentration limits for PM10 and PM2.5, defined by both the World Health Organization and national standards, are systematically exceeded, affecting approximately 10 million people. Among the sources of this pollution, firewood use accounts for the largest share. This study assesses whether consumers value environmental, social, and legal attributes associated with the firewood certification programs. We used a discrete choice model based on a sample of 500 households.

This paper estimates the association between innovation and employment growth among manufacturing firms in Africa. The paper uses a cross-sectional World Bank Enterprise Survey dataset in which innovation is categorised as product innovation and process innovation. Results from the pooled ordinary least squares (OLS) estimation are more efficient compared to IV 2SLS.

We study the welfare and energy poverty implications of energy price change scenarios in Indonesia. Our analysis extends previous analyses of energy price impacts at the household level in three ways. First, by employing a household energy demand system (QUAIDS), we are able to distinguish between first- and second-order welfare effects over the income distribution. Second, our results point to the ownership of energy-processing durables as another source of impact heterogeneity.