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Assessing the Possibility of Medupi and Kusile Providing Enough Electricity Running at Full Capacity in South Africa

Author

Listed:
  • Nyiko Worship Hlongwane

    (School of Economics, North-West University, South Africa.)

  • Olebogeng David Daw

    (School of Economics, North-West University, South Africa.)

Abstract
This study assesses the possibility of Kusile and Medupi power plants with providing enough electricity to the South African economy when generating at full capacity. The study utilised time series data spanning from 1980 to 2021 collected from secondary sources such as the International Energy Agency and the World Bank. The study employed DF-GLS and PP unit root tests, ARDL Bounds test, ARDL ECM model and Granger causality tests to assess the possibility. The results revealed that there is a positive relationship between electricity generation, economic growth, and population growth on electricity consumption while electricity loss and trade openness were negatively related to electricity consumption. The granger causality results revealed unidirectional causality running from electricity consumption to economic growth and from trade openness to electricity consumption. The study recommended that Eskom and South African government should speed up the completion of Medupi and Kusile power plants, limit electricity loss and investing in new electricity infrastructure to match the gap between demand and supply and limit loadshedding in South Africa.

Suggested Citation

  • Nyiko Worship Hlongwane & Olebogeng David Daw, 2023. "Assessing the Possibility of Medupi and Kusile Providing Enough Electricity Running at Full Capacity in South Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 28-39, July.
  • Handle: RePEc:eco:journ2:2023-04-5
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    References listed on IDEAS

    as
    1. Bohlmann, J.A. & Inglesi-Lotz, R., 2021. "Examining the determinants of electricity demand by South African households per income level," Energy Policy, Elsevier, vol. 148(PA).
    2. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    3. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    4. Mark Agyei-Sakyi & Yunfei Shao & Oppong Amos & Armah Marymargaret, 2021. "Determinants of Electricity Consumption and Volatility-Driven Innovative Roadmaps to One Hundred Percent Renewables for Top Consuming Nations in Africa," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    5. Al-Bajjali, Saif Kayed & Shamayleh, Adel Yacoub, 2018. "Estimating the determinants of electricity consumption in Jordan," Energy, Elsevier, vol. 147(C), pages 1311-1320.
    6. Rajesh Sharma & Pradeep Kautish, 2019. "Dynamism between selected macroeconomic determinants and electricity consumption in India," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 46(6), pages 805-821, June.
    7. Hussain Ali Bekhet & Nor Hamisham Harun, 2017. "Elasticity and Causality among Electricity Generation from Renewable Energy and Its Determinants in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 202-216.
    8. Horace Koranteng Nkansah & Shafic Suleman & Ishmael Ackah & Benjamin Ashitey Amarh & Dominic Eduah & John Abdulai Jinapor, 2022. "Determinants of Electricity Demand in Cote D’Ivoire, Ghana, Nigeria and Senegal," Energies, MDPI, vol. 15(14), pages 1-18, July.
    9. Cheng, Shulei & Wu, Yinyin & Chen, Hua & Chen, Jiandong & Song, Malin & Hou, Wenxuan, 2019. "Determinants of changes in electricity generation intensity among different power sectors," Energy Policy, Elsevier, vol. 130(C), pages 389-408.
    10. Hlongwane, Nyiko Worship & Daw, Olebogeng David, 2022. "Electricity consumption and population growth in South Africa: A panel approach," MPRA Paper 113828, University Library of Munich, Germany.
    11. Zaman, Khalid & Khan, Muhammad M. & Ahmad, Mehboob & Rustam, Rabiah, 2012. "Determinants of electricity consumption function in Pakistan: Old wine in a new bottle," Energy Policy, Elsevier, vol. 50(C), pages 623-634.
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    More about this item

    Keywords

    Electricity consumption; Electricity generation; Kusile and Medupi; ARDL model; South Africa;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment

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