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The Electricity Security in South Africa: Analysing Significant Determinants to the Grid Reliability

Author

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  • Benedict Belobo Ateba

    (North West University South Africa, School of Governance and Business, South Africa.)

  • Johannes Jurgens Prinsloo

    (North West University South Africa, School of Governance and Business, South Africa.)

Abstract

South Africa has been suffering from low electricity supply for decades now, dating back to the first occurrence during 1983. Another crisis struck by the fall of 2007, which shocks from the crisis still affect the economic growth. The country s fossil fuels, which serve as a major contributor to its electricity generation, are depleted by 1% every year. Other determining variables such as increases in domestic consumption and industrial intensity as domestic and industrial consumption rise, increase in coal prices, drop in the production volumes of coal, depreciation in machinery remain continuous dangers to the future reliability of supply of the grid. This has led to inflation of consumer prices, as end users future access to adequate electricity supply is not guaranteed. This paper aimed at determining the steadfastness of the South African electricity grid in meeting consumers demands. A quantitative research design was employed. A multiple time series research method utilising secondary data from key determining variables to electricity supply from the first quarter of 1998 to the last quarter of 2015 was employed in this study. The Eviews statistical software was employed to obtain regression probabilities through the multiple Ordinary Least Square model (OLS) specifications. The Engle-Granger approach was used to establish whether or not co-integration exists between the independent and the dependent variables. The co-integration analysis reflects that there is a significant long-term relationship between the independent and the dependent variables.

Suggested Citation

  • Benedict Belobo Ateba & Johannes Jurgens Prinsloo, 2018. "The Electricity Security in South Africa: Analysing Significant Determinants to the Grid Reliability," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 70-79.
  • Handle: RePEc:eco:journ2:2018-06-10
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    References listed on IDEAS

    as
    1. João Paulo Bento, 2011. "Energy Savings via Foreign Direct Investment? - Empirical evidence from Portugal," Working Papers 2011/24, Maastricht School of Management.
    2. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955, January.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Violetta Dalla & Liudas Giraitis & Peter C. B. Phillips, 2015. "Testing Mean Stability of Heteroskedastic Time Series," Cowles Foundation Discussion Papers 2006, Cowles Foundation for Research in Economics, Yale University.
    5. Sahbi FARHANI, 2012. "Tests of Parameters Instability: Theoretical Study and Empirical Analysis on Two Types of Models (ARMA Model and Market Model)," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 246-266.
    6. Tomás Del Barrio Castro & Paulo M. M. Rodrigues & A. M. Robert Taylor, 2015. "On the Behaviour of Phillips–Perron Tests in the Presence of Persistent Cycles," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 495-511, August.
    7. Burgess, Jacquelin & Nye, Michael, 2008. "Re-materialising energy use through transparent monitoring systems," Energy Policy, Elsevier, vol. 36(12), pages 4454-4459, December.
    8. Demski, Christina & Poortinga, Wouter & Pidgeon, Nick, 2014. "Exploring public perceptions of energy security risks in the UK," Energy Policy, Elsevier, vol. 66(C), pages 369-378.
    9. Chester, Lynne, 2010. "Conceptualising energy security and making explicit its polysemic nature," Energy Policy, Elsevier, vol. 38(2), pages 887-895, February.
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    Cited by:

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    More about this item

    Keywords

    Electricity security; supply determinants; grid sustainability;
    All these keywords.

    JEL classification:

    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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