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Dynamic relationship between energy consumption and income in Tunisia: A SVECM approach

Author

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  • Boufateh, Talel
  • Ajmi, Ahdi Noomen
  • El Montasser, Ghassen
  • Issaoui, Fakhri

Abstract

This study examines the short-run and long-run dynamics binding energy consumption to GDP using a structural vector error correction (SVECM) model during the period 1971-2009. In addition, a comparative study between Tunisia,the USA and Sweden is conducted. Results spread over two axes. First,the cyclical component of the model indicates that the instantaneous impact of a short run shock on energy is generally positive. However, the impact of this shock on output is positive in the USA and Sweden and negative in Tunisia. Therefore, it seems that unlike a small country like Tunisia where the productive system is directly penalized, developed countries are better able to cope with a transitory shock and find alternatives to productivity gains. Secondly concerning the trend component of the model, we conclude that the effect of a long run shock on energy consumption is positive in Tunisia while it is negative in the USA and Sweden. The effect of a long run shock on production for both the developed countries is positive and increasing. This findings seems interesting insofar as it reflects the willingness of developed countries substitute current energy sources by renewable and cleaner sources. It also reflects Tunisian dependence to current sources of electricity.

Suggested Citation

  • Boufateh, Talel & Ajmi, Ahdi Noomen & El Montasser, Ghassen & Issaoui, Fakhri, 2013. "Dynamic relationship between energy consumption and income in Tunisia: A SVECM approach," MPRA Paper 44539, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:44539
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    File URL: https://mpra.ub.uni-muenchen.de/44539/1/MPRA_paper_44539.pdf
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    References listed on IDEAS

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    1. Wolde-Rufael, Yemane, 2006. "Electricity consumption and economic growth: a time series experience for 17 African countries," Energy Policy, Elsevier, vol. 34(10), pages 1106-1114, July.
    2. Ozturk, Ilhan & Aslan, Alper & Kalyoncu, Huseyin, 2010. "Energy consumption and economic growth relationship: Evidence from panel data for low and middle income countries," Energy Policy, Elsevier, vol. 38(8), pages 4422-4428, August.
    3. Joakim Westerlund, 2006. "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 101-132, February.
    4. Wolde-Rufael, Yemane, 2005. "Energy demand and economic growth: The African experience," Journal of Policy Modeling, Elsevier, vol. 27(8), pages 891-903, November.
    5. Eggoh, Jude C. & Bangake, Chrysost & Rault, Christophe, 2011. "Energy consumption and economic growth revisited in African countries," Energy Policy, Elsevier, vol. 39(11), pages 7408-7421.
    6. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    7. 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.
    8. Lutkepohl, Helmut & Reimers, Hans-Eggert, 1992. "Granger-causality in cointegrated VAR processes The case of the term structure," Economics Letters, Elsevier, vol. 40(3), pages 263-268, November.
    9. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    11. Lutkepohl, Helmut & Reimers, Hans-Eggert, 1992. "Impulse response analysis of cointegrated systems," Journal of Economic Dynamics and Control, Elsevier, vol. 16(1), pages 53-78, January.
    12. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    13. Bénédicte Vidaillet & V. D'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    14. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    15. Sari, Ramazan & Soytas, Ugur, 2007. "The growth of income and energy consumption in six developing countries," Energy Policy, Elsevier, vol. 35(2), pages 889-898, February.
    16. Michael Kumhof & Dirk V Muir, 2012. "Oil and the World Economy; Some Possible Futures," IMF Working Papers 12/256, International Monetary Fund.
    17. Park, Chuhwan & Chung, Mo & Lee, Sukgyu, 2011. "The effects of oil price on regional economies with different production structures: A case study from Korea using a structural VAR model," Energy Policy, Elsevier, vol. 39(12), pages 8185-8195.
    18. Arouri, Mohamed El Hedi & Ben Youssef, Adel & M'henni, Hatem & Rault, Christophe, 2012. "Energy consumption, economic growth and CO2 emissions in Middle East and North African countries," Energy Policy, Elsevier, vol. 45(C), pages 342-349.
    19. Belloumi, Mounir, 2009. "Energy consumption and GDP in Tunisia: Cointegration and causality analysis," Energy Policy, Elsevier, vol. 37(7), pages 2745-2753, July.
    20. Narayan, Paresh Kumar & Narayan, Seema & Prasad, Arti, 2008. "A structural VAR analysis of electricity consumption and real GDP: Evidence from the G7 countries," Energy Policy, Elsevier, vol. 36(7), pages 2765-2769, July.
    21. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

    1. Ben Jebli, Mehdi & Ben Youssef, Slim, 2015. "The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 173-185.

    More about this item

    Keywords

    Energy consumption; GDP; SVEC model; Tunisia;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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