IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v65y2017icp228-239.html
   My bibliography  Save this article

Stochastic convergence in per capita energy use in world

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988317301366
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. Alfredo Baldini, 2005. "Fiscal Policy and Business Cycles in an Oil-Producing Economy; The Case of Venezuela," IMF Working Papers 05/237, International Monetary Fund.
    8. 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.
    9. 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.
    10. Mishra, Vinod & Smyth, Russell, 2014. "Convergence in energy consumption per capita among ASEAN countries," Energy Policy, Elsevier, vol. 73(C), pages 180-185.
    11. Wesley Burnett, J. & Madariaga, Jessica, 2017. "The convergence of U.S. state-level energy intensity," Energy Economics, Elsevier, vol. 62(C), pages 357-370.
    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, The World Bank, number 23969, August.
    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. 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.
    29. 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.
    30. Li, Xuehui & Lin, Boqiang, 2013. "Global convergence in per capita CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 357-363.
    31. 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).
    32. 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.
    33. 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.
    34. Liddle, Brantley, 2010. "Revisiting world energy intensity convergence for regional differences," Applied Energy, Elsevier, vol. 87(10), pages 3218-3225, October.
    35. 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.
    36. 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.
    37. Mohammadi, Hassan & Ram, Rati, 2012. "Cross-country convergence in energy and electricity consumption, 1971–2007," Energy Economics, Elsevier, vol. 34(6), pages 1882-1887.
    38. 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.
    39. Anna Mikusheva, 2007. "Uniform Inference in Autoregressive Models," Econometrica, Econometric Society, vol. 75(5), pages 1411-1452, September.
    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. repec:eee:appene:v:211:y:2018:i:c:p:875-889 is not listed on IDEAS

    More about this item

    Keywords

    Energy use; Convergence; Pair-wise; Confidence interval; Subsampling;

    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

    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:eee:eneeco:v:65:y:2017:i:c:p:228-239. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.