The real influences of oil prices changes on the growth of real GDP: The case of South Africa

Authors

  • Hlompo Panelope Maruping North West University (Mafikeng Campus), South Africa
  • Itumeleng Pleasure Mongale University of Limpopo, (Turfloop Campus), South Africa

DOI:

https://doi.org/10.25255/jbm.2017.5.1.43.55

Keywords:

South Africa, Generalised Impulse Response Function, co-integrating vector autoregressive, Economic Growth, Oil prices

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 co-integrating 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.

Downloads

Download data is not yet available.

References

Asteriou, D. & Hall, S. 2009. Applied econometrics – a modern approach: New York.
BP (Beyond Petroleum). BP statistical review of world energy. London: British Petroleum.http://www.bp.com(Accessed May 2014).
Davis, S.J. & Haltiwanger, J. 2001. “Sectoral Job Creation and Destruction Responses to Oil Price Changes”Journal of Monetary Economics 48: 465–512.
Farrell, G.N. Kahn, B. & Visser, F.J. 2001. Price Determination in International Oil Markets: Developments and Prospects. South African Reserve Bank Quarterly Bulletin. March 2001.
Gatuhi, S. & Macharia, P. 2013.“Influence of Oil Prices on Stock Market Performance in Kenya” International Journal of Management & Business Studies, Vol. 3, Issue 3.
Hamilton, J.D. 2003.“What Is An Oil Shock? Journal of Econometrics” 113: 363-398.
Mork, K. 1989.“Oil and the Macro-economy When Prices Go Up And Down: An Extension of Hamilton’s Results”Journal of Political Economy 97 (3): 740-744.
Hoover, K. D., Johansen, S. & Juselius, K. 2008.“Allowing the data to speak freely: The macroeconometrics of the cointegrated vector autoregression”The American Economic Review, 98: 251-255.
Johansen, S. 1991.“Estimating and hypothesis testing of cointegration vectors in Gaussian Vector Autoregressive Models”Econometrica 59: 1551-1580.
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P. and Shin, Y. 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 54: 159–178.
Nkomo, J.C. 2006.“The Impact of Higher Oil Prices on Southern African Countries. Journal of Energy Research in Southern Africa” 17 (1): 10-17.
Park, J.W. 2007. Oil Price Shocks And Stock Market Behavior: Empirical Evidence for the US and European Countries. University Of Missouri-Columbia.
Pretorius, L. & Naidoo S. 2011. Black Days. Financial Mail. (04 March).
Samwel, K. C., Isaac, M. K. & Joel, J. 2012.“An Econometric Approach to the Economic Impact of Petroleum Oil Price Fluctuation in Kenya” Journal of Economics and Sustainable Development 3 (7): 17- 24.
Stringer, K.D. 2008. Energy security: Applying a portfolio approach. Baltic Security & Defence Review 10: 121–142.
Umar, G. 2010.“Oil price shocks and the Nigeria economy: A variance autoregressive model”International Journal of Business and Management: 82–89.
Wabiri, N & Amusa H. 2010.“Quantifying South Africa’s crude oil import risk: A multi-criteria portfolio model”Economic Modelling 27: 445–453.
Yang C.W., Hwang M.J. & Huang, B.N. 2002.“An analysis of factors affecting price volatility of the US oil market”Energy Economics 24: 107–119.

Downloads

Published

2017-01-01

Issue

Section

Articles