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The Real Influences Of Oil Price Changes On The Growth Of Real Gdp: The Case Of South Africa

Author

Listed:
  • HLOMPO MARUPING

    (NORTH WEST UNIVERSITY (MAFIKENG CAMPUS))

  • ITUMELENG MONGALE

    (UNIVERSITY OF LIMPOPO)

Abstract

Oil price fluctuation is a cause of concern for most of the economies of the world including South Africa. The premise is that since oil consumption is regarded as one of the major determinants of the economic activities in any country, therefore the price fluctuations have a potential of slowing down the economic growth. The purpose of this study is to analyse the influences of oil price changes on economic growth in South Africa. Determining such a relationship will not only be helpful to the academic community, but also to the policy makers and the international community. The study utilises secondary data to examine quarterly time series data from the year 1990Q1-2014Q1. Several sources of data (websites) like SARB, Quantec, and International Monetary Funds, among others, were considered to find the most relevant data. The model was estimated by using a cointegrating vector autoregressive frame work and it was passed through a battery of diagnostic and stability test. The Generalised Impulse Response Function was employed to examine the dynamic relations among the variables under study. The results show that there is a positive relationship between economic growth and oil prices fluctuations.

Suggested Citation

  • Hlompo Maruping & Itumeleng Mongale, 2016. "The Real Influences Of Oil Price Changes On The Growth Of Real Gdp: The Case Of South Africa," Proceedings of International Academic Conferences 3305561, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:3305561
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    References listed on IDEAS

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    1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    2. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    3. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    4. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-744, June.
    5. Yang, C. W. & Hwang, M. J. & Huang, B. N., 2002. "An analysis of factors affecting price volatility of the US oil market," Energy Economics, Elsevier, vol. 24(2), pages 107-119, March.
    6. Davis, Steven J. & Haltiwanger, John, 2001. "Sectoral job creation and destruction responses to oil price changes," Journal of Monetary Economics, Elsevier, vol. 48(3), pages 465-512, December.
    7. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    8. Wabiri, Njeri & Amusa, Hammed, 2010. "Quantifying South Africa's crude oil import risk: A multi-criteria portfolio model," Economic Modelling, Elsevier, vol. 27(1), pages 445-453, January.
    9. Kevin D. Hoover & Soren Johansen & Katarina Juselius, 2008. "Allowing the Data to Speak Freely: The Macroeconometrics of the Cointegrated Vector Autoregression," American Economic Review, American Economic Association, vol. 98(2), pages 251-255, May.
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    More about this item

    Keywords

    Oil prices; Economic Growth; cointegrating vector autoregressive; Generalised Impulse Response Function; South Africa.;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology

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