IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/44539.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/44539/1/MPRA_paper_44539.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Mr. Michael Kumhof & Mr. Dirk V Muir, 2012. "Oil and the World Economy: Some Possible Futures," IMF Working Papers 2012/256, International Monetary Fund.
    7. 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.
    8. 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.
    9. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    12. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    13. 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.
    14. 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.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
    17. 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.
    18. 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.
    19. Wolde-Rufael, Yemane, 2005. "Energy demand and economic growth: The African experience," Journal of Policy Modeling, Elsevier, vol. 27(8), pages 891-903, November.
    20. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    21. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    22. 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.
    23. Belloumi, Mounir, 2009. "Energy consumption and GDP in Tunisia: Cointegration and causality analysis," Energy Policy, Elsevier, vol. 37(7), pages 2745-2753, July.
    24. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Njindan Iyke, Bernard, 2015. "Asymmetries, Structural Breaks, and Nonlinear Persistence: Evidence and Implications for Uncovering the Energy-Growth Nexus in Selected African Countries," MPRA Paper 67163, University Library of Munich, Germany.
    3. Wesseh, Presley K. & Zoumara, Babette, 2012. "Causal independence between energy consumption and economic growth in Liberia: Evidence from a non-parametric bootstrapped causality test," Energy Policy, Elsevier, vol. 50(C), pages 518-527.
    4. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    5. Rodríguez-Caballero, Carlos Vladimir & Ventosa-Santaulària, Daniel, 2017. "Energy-growth long-term relationship under structural breaks. Evidence from Canada, 17 Latin American economies and the USA," Energy Economics, Elsevier, vol. 61(C), pages 121-134.
    6. Gerard Bikorimana & Charles Rutikanga & Didier Mwizerwa, 2020. "Linking energy consumption with economic growth: Rwanda as a case study," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 181-200.
    7. Bashiri Behmiri, Niaz & Pires Manso, José R., 2012. "Does Portuguese economy support crude oil conservation hypothesis?," Energy Policy, Elsevier, vol. 45(C), pages 628-634.
    8. Dakpogan, Arnaud & Smit, Eon, 2018. "The effect of electricity losses on GDP in Benin," MPRA Paper 89545, University Library of Munich, Germany.
    9. Muhammad Shahbaz & Mete Feridun, 2012. "Electricity consumption and economic growth empirical evidence from Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1583-1599, August.
    10. Gritli, Mohamed Ilyes & Charfi, Fatma Marrakchi, 2023. "The determinants of oil consumption in Tunisia: Fresh evidence from NARDL approach and asymmetric causality test," Energy, Elsevier, vol. 284(C).
    11. Santos, Carlos Filipe & Fuinhas, José Alberto & Marques, António Cardoso, 2014. "O nexus energia-crescimento e o nível da auto-suficiência na produção de petróleo: análise com macro painel [Energy-growth nexus and oil self-sufficiency: macro panel analysis]," MPRA Paper 57008, University Library of Munich, Germany.
    12. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    13. Phung Thanh Binh, 2011. "Energy Consumption and Economic Growth in Vietnam: Threshold Cointegration and Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 1(1), pages 1-17, June.
    14. Fakhri Issaoui & Talel Boufateh & Mourad Guesmi, 2015. "Money Neutrality: Rethinking the Myth," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(3), pages 287-320, June.
    15. Nermin Ya ar, 2017. "The Relationship between Energy Consumption and Economic Growth: Evidence from Different Income Country Groups," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 86-97.
    16. Cosimo Magazzino, 2016. "The relationship between real GDP, CO2 emissions, and energy use in the GCC countries: A time series approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1152729-115, December.
    17. Fazıl Kayıkçı & Melike Bildirici, 2015. "Economic Growth and Electricity Consumption in GCC and MENA Countries," South African Journal of Economics, Economic Society of South Africa, vol. 83(2), pages 303-316, June.
    18. Dogan, Eyup, 2015. "The relationship between economic growth and electricity consumption from renewable and non-renewable sources: A study of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 534-546.
    19. Eléazar Zerbo, 2017. "Energy consumption and economic growth in Sub-Saharan African countries: Further evidence," Economics Bulletin, AccessEcon, vol. 37(3), pages 1720-1744.
    20. Sudeshna Ghosh, 2019. "Environmental Pollution, Income Inequality, and Household Energy Consumption: Evidence from the United Kingdom," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-31, June.

    More about this item

    Keywords

    Energy consumption; GDP; SVEC model; Tunisia;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:44539. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.