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Multidimensional Indicator of Energy Poverty in South Africa Using the Fuzzy Set Approach

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  • Abayomi Samuel Oyekale

    (Department of Agricultural Economics and Extension, North-West University Mafikeng Campus, Mmabatho 2735, South Africa)

  • Thonaeng Charity Molelekoa

    (Department of Agricultural Economics and Extension, North-West University Mafikeng Campus, Mmabatho 2735, South Africa)

Abstract

The electricity supply in South Africa is characterized by load-shedding. This study analyzed the determinants of the multidimensional energy poverty index (MEPI) in South Africa. The data, which were taken from the 2019–2021 General Household Survey (GHS), were analyzed using Tobit regression. The results showed that between 2019 and 2021, the use of clean energy for cooking declined from 85.97% to 85.68%, respectively, whereas the use of clean energy for water heating declined from 87.24% in 2020 to 86.55% in 2021. Space heating with clean energy declined from 53.57% in 2019 to 50.35% in 2021. The average fuzzy MEPI was 0.143 and Western Cape and KwaZulu-Natal provinces had the highest average values with 0.180 and 0.176, respectively. In the combined dataset, the Tobit regression results showed that, compared to Western Cape, the fuzzy MEPI significantly decreased ( p < 0.01) by −0.038, 0.028, 0.045, 0.023, 0.029, 0.038, 0.037, and 0.042 for residents in Eastern Cape, Northern Cape, Free State, Kwazulu-Natal, North West, Gauteng, Mpumalanga, and Limpopo provinces, respectively. In addition, the fuzzy MEPI for the Black, Coloured, Asian, and White respondents decreased by 0.042, 0.062, and 0.084, respectively. The fuzzy MEPI for male-headed households and the number of social grants increased, whereas the fuzzy MEPI significantly decreased ( p < 0.01) for the monthly salary and age of household heads. It was concluded that energy poverty in South Africa manifests through unclean energy utilization for space heating. The promotion of clean energy utilization should focus on deprived provinces, farms, and tribal areas.

Suggested Citation

  • Abayomi Samuel Oyekale & Thonaeng Charity Molelekoa, 2023. "Multidimensional Indicator of Energy Poverty in South Africa Using the Fuzzy Set Approach," Energies, MDPI, vol. 16(5), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2089-:d:1075327
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