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Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis

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  • Ziramba, Emmanuel

Abstract

This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports.

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  • Ziramba, Emmanuel, 2010. "Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis," Energy Policy, Elsevier, vol. 38(12), pages 7844-7849, December.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:12:p:7844-7849
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    Cited by:

    1. Delavari, Majid & Gandali Alikhani, Nadiya, 2013. "The Dynamic Effects of Crude Oil and Natural Gas Prices on Iran's Methanol," MPRA Paper 49733, University Library of Munich, Germany.
    2. Delavari, Majid & Gandali Alikhani, Nadiya & Naderi, Esmaeil, 2012. "The analyses of Crude Oil and Natural Gas Prices on Petrochemicals Products: A Case Study of IRAN's Methanol," MPRA Paper 48788, University Library of Munich, Germany.
    3. Bukhari M.S. Sillah & Hamad M.H. Al-Sheikh, 2012. "Income, Price, and Government Expenditure Elasticities of Oil in the Gulf Cooperation Council Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 333-341.
    4. A. Talha Yalta, 2013. "Small Sample Bootstrap Inference of Level Relationships in the Presence of Autocorrelated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Working Papers 1301, TOBB University of Economics and Technology, Department of Economics.
    5. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    6. Mohammad Jaforullah & Alan King, 2015. "is New Zealand's economy vulnerable to world oil market shocks?," Working Papers 1503, University of Otago, Department of Economics, revised Mar 2015.
    7. Ozturk, Ilhan & Arisoy, Ibrahim, 2016. "An estimation of crude oil import demand in Turkey: Evidence from time-varying parameters approach," Energy Policy, Elsevier, vol. 99(C), pages 174-179.
    8. Wang, Minggang & Tian, Lixin & Du, Ruijin, 2016. "Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach," Applied Energy, Elsevier, pages 779-791.
    9. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    10. Nicholas Apergis & Alper Aslan & Goodness C. Aye & Rangan Gupta, 2014. "The Asymmetric Effect of Oil Price on Growth across US States," Working Papers 201459, University of Pretoria, Department of Economics.
    11. Delavari, Majid & Gandali Alikhani, Nadiya, 2012. "The Effect of Crude Oil Price on the Methanol price," MPRA Paper 49727, University Library of Munich, Germany.
    12. Adewuyi, Adeolu O., 2016. "Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria," Energy Policy, Elsevier, vol. 95(C), pages 73-93.
    13. Altinay, Galip, 2007. "Short-run and long-run elasticities of import demand for crude oil in Turkey," Energy Policy, Elsevier, vol. 35(11), pages 5829-5835, November.
    14. Ahad, Muhammad, 2016. "A Dynamic Relationship Between Financial Development and Import Demand for Bangladesh: An Evidence from Combine Cointegration and Granger Causality approach," MPRA Paper 71963, University Library of Munich, Germany, revised 09 May 2016.
    15. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
    16. Akbar Komijani & Nadiya Gandali Alikhani & Esmaeil Naderi, 2013. "The Long-run and Short-run Effects of Crude Oil Price on Methanol Market in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 3(1), pages 43-50.
    17. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    18. Marbuah, George, 2014. "Understanding crude oil import demand behaviour in Ghana," MPRA Paper 60436, University Library of Munich, Germany.
    19. Camacho-Gutiérrez, Pablo, 2010. "Dynamic OLS estimation of the U.S. import demand for Mexican crude oil," MPRA Paper 30608, University Library of Munich, Germany.
    20. Kim, Hyun Seok & Baek, Jungho, 2013. "Assessing dynamics of crude oil import demand in Korea," Economic Modelling, Elsevier, vol. 35(C), pages 260-263.

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