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Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data

Author

Listed:
  • Westerlund, Joakim
  • Basher, Syed A.
Abstract
This paper tests the convergence in per-capita carbon dioxide emissions for a collection of developed and developing countries using data spanning the period 1870 to 2002. For this purpose, three recently developed panel unit root tests that permit for dependence among the individual countries are employed. The results lend strong support in favor of convergence for the panel as a whole. Estimates of the speed of this convergence is also provided.

Suggested Citation

  • Westerlund, Joakim & Basher, Syed A., 2007. "Testing for Convergence in Carbon Dioxide Emissions Using a Century of Panel Data," MPRA Paper 3262, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:3262
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    File URL: https://mpra.ub.uni-muenchen.de/3262/1/MPRA_paper_3262.pdf
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    References listed on IDEAS

    as
    1. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    2. Moon, H.R.Hyungsik Roger & Perron, Benoit, 2004. "Testing for a unit root in panels with dynamic factors," Journal of Econometrics, Elsevier, vol. 122(1), pages 81-126, September.
    3. Markku Lanne & Matti Liski, 2004. "Trends and Breaks in Per-Capita Carbon Dioxide Emissions, 1870-2028," The Energy Journal, , vol. 25(4), pages 41-65, October.
    4. Evans, Paul, 1998. "Using Panel Data to Evaluate Growth Theories," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(2), pages 295-306, May.
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    More about this item

    Keywords

    Emissions convergence; Panel unit root tests; Common factors; Half-life;
    All these keywords.

    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
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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