Income elasticity of residential electricity consumption in rural South Africa

• Published in: Energy economics 2024-03, Vol.131, p.107405, Article 107405
• Main Authors: Koch, Steven F., Nkuna, Blessings, Ye, Yuxiang
• Format: Article
• Language: English
• Subjects: Developing country; Income elasticity; Metering data; Residential electricity consumption
• ISSN: 0140-9883
• DOI: 10.1016/j.eneco.2024.107405

Analyses of residential electricity demand primarily rely on expenditure or aggregate data. However, newer sources of data, such as that from meter readings, are becoming available. In most circumstances, these newer sources cannot be matched to detailed information about the household. In this research, we make use of South Africa’s Domestic Electrical Load Study, one of the only sources available in a developing country that includes both meter and household level data. Due to some gaps in the meter readings, we focus our attention on average peak electricity consumption, estimating the income elasticity with respect to morning, evening, and the average across both morning and evening peaks. Although we find differences in income responsiveness in the morning, relative to the afternoon, and across quantiles of electricity consumption, these differences tend not to be statistically significant. We do, however, find heterogeneities in those elasticities that can be correlated with, in particular, appliance ownership, suggesting that the ownership of appliances makes electricity more of a necessity, or at least makes the services derived from electricity more necessary for the household. •Using meter data to estimate income elasticity for rural residential electricity demand•Income elasticities are similar to those underpinned by expenditure and aggregate data.•Appliance ownership reduces income elasticities, suggesting appliance services make electricity demand more inelastic.