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On the non-convergence of energy intensities: evidence from a pair-wise econometric approach

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  • Yannick LE PEN
  • Benoît SEVI

Abstract

This paper evaluates convergence of energy intensities for a group of 97 countries in the period 1971-2003. Convergence is tested using a recent method proposed by Pesaran (2007) [M.H. Pesaran. A pair- wise approach to testing for output and growth convergence. Journal of Econometrics 138, 312-355.] based on the stochastic convergence criterion. Main advantages of this method are that results do not depend on a benchmark against which convergence is assessed, and that it is more robust. Applications of several unit-root tests as well as a stationarity test uniformly reject the global convergence hypothesis. Locally, for Middle-East, OECD and Europe sub-groups, non-convergence is less strongly rejected. The introduction of possible structural breaks in the analysis only marginally provides more support to the convergence hypothesis.

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  • Yannick LE PEN & Benoît SEVI, 2008. "On the non-convergence of energy intensities: evidence from a pair-wise econometric approach," Cahiers du CREDEN (CREDEN Working Papers) 08.12.79, CREDEN (Centre de Recherche en Economie et Droit de l'Energie), Faculty of Economics, University of Montpellier 1.
  • Handle: RePEc:mop:credwp:08.12.79
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    2. 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.
    3. Stern, David I., 2010. "The Role of Energy in Economic Growth," Working Papers 249380, Australian National University, Centre for Climate Economics & Policy.
    4. Honma, Satoshi & Hu, Jin-Li, 2014. "Panel Data Parametric Frontier Technique for Measuring Total-factor Energy Efficiency: Application to Japanese Regions," MPRA Paper 54304, University Library of Munich, Germany.
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    Keywords

    Energy intensity; pair-wise test; unit-root test; stationarity test; structural break; convergence;

    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
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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