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The energy consumption-GDP nexus: Panel data evidence from 88 countries

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  • Sinha, Dipendra

Abstract

This paper uses panel data from 88 countries to examine the relationship between per capita GDP and per capita energy consumption. The results show that per capita GDP and per capita energy consumption are cointegrated. Also, there is a two-way short-run, long-run and strong causality between the growth of GDP and growth of energy consumption. These results are in contrast to almost all other existing studies.

Suggested Citation

  • Sinha, Dipendra, 2009. "The energy consumption-GDP nexus: Panel data evidence from 88 countries," MPRA Paper 18446, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:18446
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    File URL: https://mpra.ub.uni-muenchen.de/18446/1/MPRA_paper_18446.pdf
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    References listed on IDEAS

    as
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    6. Al-Iriani, Mahmoud A., 2006. "Energy-GDP relationship revisited: An example from GCC countries using panel causality," Energy Policy, Elsevier, vol. 34(17), pages 3342-3350, November.
    7. Mahadevan, Renuka & Asafu-Adjaye, John, 2007. "Energy consumption, economic growth and prices: A reassessment using panel VECM for developed and developing countries," Energy Policy, Elsevier, vol. 35(4), pages 2481-2490, April.
    8. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    9. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    10. Masih, Abul M. M. & Masih, Rumi, 1997. "On the temporal causal relationship between energy consumption, real income, and prices: Some new evidence from Asian-energy dependent NICs Based on a multivariate cointegration/vector error-correctio," Journal of Policy Modeling, Elsevier, vol. 19(4), pages 417-440, August.
    11. 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.
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    Citations

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    Cited by:

    1. Frauke Dobnik, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 0303, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    2. 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.
    3. Coers, Robin & Sanders, Mark, 2013. "The energy–GDP nexus; addressing an old question with new methods," Energy Economics, Elsevier, vol. 36(C), pages 708-715.
    4. Dobnik, Frauke, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 303, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Khatun, Fahmida & Ahamad, Mazbahul, 2015. "Foreign direct investment in the energy and power sector in Bangladesh: Implications for economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1369-1377.
    6. repec:zbw:rwirep:0303 is not listed on IDEAS
    7. Klodian Mu o & Enzo Valentini & Stefano Lucarelli, 2021. "The Relationships between GDP growth, Energy Consumption, Renewable Energy Production and CO2 Emissions in European Transition Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 362-373.

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    More about this item

    Keywords

    panel data; energy consumption; economic growth;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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