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Stochastic convergence in per capita energy use in world

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  • Fallahi, Firouz

Abstract

This paper examines the pattern of convergence in per capita energy use in a sample of 109-country covering the period 1971–2013. In addition to the full sample of countries, existence of convergence is also examined in seven subsets of countries: OECD countries, OPEC countries, and also countries in America, Africa, Asia and Oceania, Europe, and the Middle East. In contrast to the previous studies which mainly used unit root or stationarity tests, we use the results from subsampling confidence intervals. Furthermore, instead of considering convergence to a particular country benchmark, we explore all the possible pair-wise convergences. The findings, based on 7962 pairs of countries, are more favorable to the existence of the convergence. Another finding of the paper is that the per capita energy use, despite being convergent, is highly persistent.

Suggested Citation

  • Fallahi, Firouz, 2017. "Stochastic convergence in per capita energy use in world," Energy Economics, Elsevier, vol. 65(C), pages 228-239.
    • Handle: RePEc:eee:eneeco:v:65:y:2017:i:c:p:228-239
    DOI: 10.1016/j.eneco.2017.04.029
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    as
    1. Juvenal Luciana & Taylor Mark P., 2008. "Threshold Adjustment of Deviations from the Law of One Price," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-46, September.
    2. Mohammadi, Hassan & Ram, Rati, 2017. "Convergence in energy consumption per capita across the US states, 1970–2013: An exploration through selected parametric and non-parametric methods," Energy Economics, Elsevier, vol. 62(C), pages 404-410.
    3. Hooi Hooi Lean & Vinod Mishra & Russell Smyth, 2016. "Conditional convergence in US disaggregated petroleum consumption at the sector level," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 3049-3061, July.
    4. Fallahi, Firouz & Voia, Marcel-Cristian, 2015. "Convergence and persistence in per capita energy use among OECD countries: Revisited using confidence intervals," Energy Economics, Elsevier, vol. 52(PA), pages 246-253.
    5. Hashem Pesaran, M., 2007. "A pair-wise approach to testing for output and growth convergence," Journal of Econometrics, Elsevier, vol. 138(1), pages 312-355, May.
    6. Andrews, Donald W K & Chen, Hong-Yuan, 1994. "Approximately Median-Unbiased Estimation of Autoregressive Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 187-204, April.
    7. Mishra, Vinod & Smyth, Russell, 2017. "Conditional convergence in Australia's energy consumption at the sector level," Energy Economics, Elsevier, vol. 62(C), pages 396-403.
    8. Walter Torous & Rossen Valkanov & Shu Yan, 2004. "On Predicting Stock Returns with Nearly Integrated Explanatory Variables," The Journal of Business, University of Chicago Press, vol. 77(4), pages 937-966, October.
    9. Mishra, Vinod & Smyth, Russell, 2014. "Convergence in energy consumption per capita among ASEAN countries," Energy Policy, Elsevier, vol. 73(C), pages 180-185.
    10. Wesley Burnett, J. & Madariaga, Jessica, 2017. "The convergence of U.S. state-level energy intensity," Energy Economics, Elsevier, vol. 62(C), pages 357-370.
    11. Le Pen, Yannick & Sévi, Benoît, 2010. "On the non-convergence of energy intensities: Evidence from a pair-wise econometric approach," Ecological Economics, Elsevier, vol. 69(3), pages 641-650, January.
    12. Gospodinov, Nikolay, 2002. "Median unbiased forecasts for highly persistent autoregressive processes," Journal of Econometrics, Elsevier, vol. 111(1), pages 85-101, November.
    13. Romano, Joseph P & Wolf, Michael, 2001. "Subsampling Intervals in Autoregressive Models with Linear Time Trend," Econometrica, Econometric Society, vol. 69(5), pages 1283-1314, September.
    14. Marco Barassi & Matthew Cole & Robert Elliott, 2011. "The Stochastic Convergence of CO 2 Emissions: A Long Memory Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 367-385, July.
    15. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2011. "Investigating regional house price convergence in the United States: Evidence from a pair-wise approach," Economic Modelling, Elsevier, vol. 28(6), pages 2369-2376.
    16. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969, December.
    17. Maza, Adolfo & Villaverde, José, 2008. "The world per capita electricity consumption distribution: Signs of convergence?," Energy Policy, Elsevier, vol. 36(11), pages 4255-4261, November.
    18. Fallahi, Firouz & Karimi, Mohammad & Voia, Marcel-Cristian, 2016. "Persistence in world energy consumption: Evidence from subsampling confidence intervals," Energy Economics, Elsevier, vol. 57(C), pages 175-183.
    19. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    20. Emmanuel Anoruo & William R. DiPietro, 2014. "Convergence in Per Capita Energy Consumption among African Countries: Evidence from Sequential Panel Selection Method," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 568-577.
    21. Paul Cashin & C. John McDermott, 2003. "An Unbiased Appraisal of Purchasing Power Parity," IMF Staff Papers, Palgrave Macmillan, vol. 50(3), pages 1-1.
    22. Csereklyei, Zsuzsanna & Stern, David I., 2015. "Global energy use: Decoupling or convergence?," Energy Economics, Elsevier, vol. 51(C), pages 633-641.
    23. David E. Rapach & Mark E. Wohar, 2004. "The persistence in international real interest rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 339-346.
    24. Ordás Criado, C. & Grether, J.-M., 2011. "Convergence in per capita CO2 emissions: A robust distributional approach," Resource and Energy Economics, Elsevier, vol. 33(3), pages 637-665, September.
    25. Gian Paolo Beretta, 2007. "World energy consumption and resources: an outlook for the rest of the century," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 7(1/2), pages 99-112.
    26. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    27. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Stochastic convergence in per capita fossil fuel consumption in U.S. states," Energy Economics, Elsevier, vol. 62(C), pages 382-395.
    28. Mr. Alfredo Baldini, 2005. "Fiscal Policy and Business Cycles in an Oil-Producing Economy: The Case of Venezuela," IMF Working Papers 2005/237, International Monetary Fund.
    29. Ekaterini Panopoulou & Theologos Pantelidis, 2009. "Club Convergence in Carbon Dioxide Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(1), pages 47-70, September.
    30. Herrerias, M.J. & Aller, Carlos & Ordóñez, Javier, 2017. "Residential energy consumption: A convergence analysis across Chinese regions," Energy Economics, Elsevier, vol. 62(C), pages 371-381.
    31. Li, Xuehui & Lin, Boqiang, 2013. "Global convergence in per capita CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 357-363.
    32. repec:dau:papers:123456789/6801 is not listed on IDEAS
    33. Dayong Zhang and David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    34. DeJong, David N. & Nankervis, John C. & Savin, N. E. & Whiteman, Charles H., 1992. "The power problems of unit root test in time series with autoregressive errors," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 323-343.
    35. Ozcan, Burcu & Ozturk, Ilhan, 2016. "A new approach to energy consumption per capita stationarity: Evidence from OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 332-344.
    36. Liddle, Brantley, 2010. "Revisiting world energy intensity convergence for regional differences," Applied Energy, Elsevier, vol. 87(10), pages 3218-3225, October.
    37. Reboredo, Juan C., 2015. "Renewable energy contribution to the energy supply: Is there convergence across countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 290-295.
    38. Herrerias, M.J. & Liu, G., 2013. "Electricity intensity across Chinese provinces: New evidence on convergence and threshold effects," Energy Economics, Elsevier, vol. 36(C), pages 268-276.
    39. Mohammadi, Hassan & Ram, Rati, 2012. "Cross-country convergence in energy and electricity consumption, 1971–2007," Energy Economics, Elsevier, vol. 34(6), pages 1882-1887.
    40. Meng, Ming & Payne, James E. & Lee, Junsoo, 2013. "Convergence in per capita energy use among OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 536-545.
    41. Anna Mikusheva, 2007. "Uniform Inference in Autoregressive Models," Econometrica, Econometric Society, vol. 75(5), pages 1411-1452, September.
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    More about this item

    Keywords

    Energy use; Convergence; Pair-wise; Confidence interval; Subsampling;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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