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Relationship between Energy and Economic Growth: Evidence from a Panel Nonlinear ARDL Model

Author

Listed:
  • Mounir Belloumi

    (Department of Business Administration, College of Business Administration, Najran University, Najran. Saudi Arabia.)

  • Ahmed Aljazea

    (Department of Business Administration, College of Business Administration, Najran University, Najran. Saudi Arabia.)

Abstract

In this article, we study the heterogeneous relationship among energy consumption and economic growth by incorporation gross fixed capital formation, foreign direct investment, international trade and finance development as control variables in a selected sample of 11 countries of the Middle East and North Africa over the period 1980–2020 using a panel nonlinear autoregressive distributed lag model. Empirical results show the presence of an asymmetric long run relationship between energy consumption and economic growth in the group of countries. The Pooled mean Group estimates indicate that positive and negative changes in energy consumption have positive and significant effects on output growth in the long term, whereas both Mean Group and Difference Fixed Effect estimates report that only negative changes in energy consumption have positive and significant effect on long-term economic growth in the selected sample of countries. In addition, the short run individual effects of energy use on economic growth are positive and significant for only three countries (Jordan, Saudi Arabia, and Tunisia). These results are very important for the design of energy policies and sustainable economic growth. Energy-saving policies are suitable for long-run economic growth for the entire sample, while they are only suitablefor eight countries out of eleven in the short-run.

Suggested Citation

  • Mounir Belloumi & Ahmed Aljazea, 2024. "Relationship between Energy and Economic Growth: Evidence from a Panel Nonlinear ARDL Model," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 468-476, March.
  • Handle: RePEc:eco:journ2:2024-02-47
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    References listed on IDEAS

    as
    1. 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.
    2. Cosimo Magazzino, 2014. "Government Size and Economic Growth in Italy: An Empirical Analyses Based On New Data (1861-2008)," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 3(2), pages 38-54.
    3. Apergis, Nicholas & Tang, Chor Foon, 2013. "Is the energy-led growth hypothesis valid? New evidence from a sample of 85 countries," Energy Economics, Elsevier, vol. 38(C), pages 24-31.
    4. Ibrahim D. Raheem & Agboola H. Yusuf, 2015. "Energy Consumption-Economic Growth Nexus: Evidence from Linear and Nonlinear Models in Selected African Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 558-564.
    5. Omay, Tolga & Hasanov, Mübariz & Uçar, Nuri, 2014. "Energy consumption and economic growth: Evidence from nonlinear panel cointegration and causality tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 34(2), pages 36-55.
    6. Hamilton, James D., 2003. "What is an oil shock?," Journal of Econometrics, Elsevier, vol. 113(2), pages 363-398, April.
    7. repec:cii:cepiei:2012-q1-129-4 is not listed on IDEAS
    8. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    9. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    10. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    11. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    12. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    13. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    14. M. Hashem Pesaran & Aman Ullah & Takashi Yamagata, 2008. "A bias-adjusted LM test of error cross-section independence," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 105-127, March.
    15. Belloumi, Mounir, 2009. "Energy consumption and GDP in Tunisia: Cointegration and causality analysis," Energy Policy, Elsevier, vol. 37(7), pages 2745-2753, July.
    16. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. Olayeni Olaolu Richard, 2012. "Energy consumption and economic growth in sub-Saharan Africa: An asymmetric cointegration analysis," International Economics, CEPII research center, issue 129, pages 99-118.
    19. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    20. Ndoricimpa, Arcade, 2017. "Analysis of asymmetries in the nexus among energy use, pollution emissions and real output in South Africa," Energy, Elsevier, vol. 125(C), pages 543-551.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    22. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    23. Kouton, Jeffrey, 2019. "The asymmetric linkage between energy use and economic growth in selected African countries: Evidence from a nonlinear panel autoregressive distributed lag model," Energy Economics, Elsevier, vol. 83(C), pages 475-490.
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    More about this item

    Keywords

    Energy Use; Economic Growth; Panel Nonlinear Autoregressive Distributed Lag Model; Pooled Mean Group Estimator; MENA;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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