Yonas Alem () and Eyoual Demeke ()
Abstract: 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. We also study the impact of energy price inflation, which Ethiopia experienced during 2007–2009, on energy use and energy poverty. We find strong evidence of state dependence in energy poverty. A household that is energy poor in one round is up to 16% more likely to be energy poor in the subsequent round. Dynamic probit regression results also suggest that an increase in the price of kerosene– the most important fuel for the urban poor– drives households into energy poverty. A fractional response estimator for panel data, which estimates the impact of energy prices on the proportion of energy obtained from clean sources, also supports the finding on the adverse impact of energy price inflation. Households responded to the significant rise in the price of kerosene by consuming a large amount of charcoal, which has been documented to have serious environmental, climate, and health consequences. Our results have significant implications for policies formulated to reduce energy poverty, conserve biomass resources, and promote energy transition in developing countries.
Keywords: Energy Poverty; Kerosene Price; Dynamic Probit; Urban Ethiopia
Language: English
31 pages, June 1, 2020
Full text files
MS%201002%20DP%2020-16%20Final%20June%208.pdf Full text
Questions (including download problems) about the papers in this series should be directed to Franklin Amuakwa-Mensah ()
Report other problems with accessing this service to Sune Karlsson ().
RePEc:hhs:gunefd:2020_016This page generated on 2024-09-13 22:14:35.