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Convergence in global environmental performance: assessing heterogeneity

Author

Listed:
  • Runar Brännlund

    (Umeå University)

  • Amin Karimu

    (Umeå University
    University of Ghana Business School)

Abstract

This paper examines convergence in environmental/carbon performance by constructing a measure based on production theory, where production processes explicitly result in the production of two outputs; a good output (GDP) and a bad output (CO2). We use the derived measure to test the β-convergence hypothesis for a panel of 94 countries. The results reveal evidence in support of β-convergence in environmental, or carbon performance for the entire (global) sample and each of the sub-samples. The evidence points to a slower convergence rate for the high-income countries relative to low-income countries. Moreover, the rate of convergence does not vary with capital in the global sample, but does vary in the high-income sample, possibly reflecting differences in abatement cost induced by differences in the stringency of environmental regulation and enforcement. Additionally, we find evidence of a negative relation between environmental performance and fossil fuel share, both at the global level as well as at the middle and high sub-samples, which tend to vary with capital intensity. As such, the results conform to the results from studies on the dynamics of per capita emissions.

Suggested Citation

  • Runar Brännlund & Amin Karimu, 2018. "Convergence in global environmental performance: assessing heterogeneity," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 503-526, July.
  • Handle: RePEc:spr:envpol:v:20:y:2018:i:3:d:10.1007_s10018-017-0203-8
    DOI: 10.1007/s10018-017-0203-8
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    More about this item

    Keywords

    Capital intensity; Convergence; Environmental performance; Fossil fuel price;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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