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

Author

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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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    as
    1. Omowunmi Mary Longe, 2021. "An Assessment of the Energy Poverty and Gender Nexus towards Clean Energy Adoption in Rural South Africa," Energies, MDPI, vol. 14(12), pages 1-21, June.
    2. Waheed Mobolaji Ashagidigbi & Bashirat Adenike Babatunde & Adebayo Isaiah Ogunniyi & Kehinde Oluseyi Olagunju & Abiodun Olusola Omotayo, 2020. "Estimation and Determinants of Multidimensional Energy Poverty among Households in Nigeria," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    3. Khomotso Semenya & Fannie Machete, 2019. "Factors that influence firewood use among electrified Bapedi households of Senwabarwana Villages, South Africa," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 11(6), pages 719-729, September.
    4. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    5. Bensch, Gunther, 2013. "Inside the Metrics – An Empirical Comparison of Energy Poverty Indices for Sub-Saharan Countries," Ruhr Economic Papers 464, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    7. Daniele Pacifico & Felix Poege, 2017. "Estimating measures of multidimensional poverty with Stata," Stata Journal, StataCorp LP, vol. 17(3), pages 687-703, September.
    8. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers 83, Queen Elizabeth House, University of Oxford.
    9. COSTA Michele, 2002. "A multidimensional approach to the measurement of poverty," IRISS Working Paper Series 2002-05, IRISS at CEPS/INSTEAD.
    10. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    11. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    12. Démurger, Sylvie & Fournier, Martin, 2011. "Poverty and firewood consumption: A case study of rural households in northern China," China Economic Review, Elsevier, vol. 22(4), pages 512-523.
    13. Themoi Demsou, 2022. "Multi-Poverty and Deprivation in Chad: Multidimensional Approach Using the Fuzzy Set Theory," Growth, Asian Online Journal Publishing Group, vol. 9(1), pages 31-41.
    14. Mendoza, Celedonio B. & Cayonte, Dwane Darcy D. & Leabres, Michael S. & Manaligod, Lana Rose A., 2019. "Understanding multidimensional energy poverty in the Philippines," Energy Policy, Elsevier, vol. 133(C).
    15. Patrick Nussbaumer & Francesco Fuso Nerini & Ijeoma Onyeji & Mark Howells, 2013. "Global Insights Based on the Multidimensional Energy Poverty Index (MEPI)," Sustainability, MDPI, vol. 5(5), pages 1-17, May.
    16. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers 90, Queen Elizabeth House, University of Oxford.
    17. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers ophiwp083_ch2.pdf, Queen Elizabeth House, University of Oxford.
    18. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers 88, Queen Elizabeth House, University of Oxford.
    19. Drescher, Katharina & Janzen, Benedikt, 2021. "Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data," Energy Economics, Elsevier, vol. 102(C).
    20. Primc, Kaja & Slabe-Erker, Renata & Majcen, Boris, 2019. "Constructing energy poverty profiles for an effective energy policy," Energy Policy, Elsevier, vol. 128(C), pages 727-734.
    21. Boqiang Lin & Michael Adu Okyere, 2020. "Multidimensional Energy Poverty and Mental Health: Micro-Level Evidence from Ghana," IJERPH, MDPI, vol. 17(18), pages 1-18, September.
    22. Reddy, B. Sudhakara, 2015. "Access to modern energy services: An economic and policy framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 198-212.
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