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Environmental Kuznets Curve and Economic Growth: The Role of Institutional Quality and Distributional Heterogeneity Revisited

Author

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  • Tapas Mishra
  • Mamata Parhi
  • Claude Diebolt
  • Prashant Gupta

Abstract

We re-examine the frequency observed inverted U-Shaped relationship between income and environmental quality (Environmental-Kuznets-Curve, EKC) by introducing the roles of institutional quality and distributional heterogeneity. A panel quantile regression of 127 economies run over a period of four decades demonstrates that once endogeneity bias is corrected and heterogeneity in the effects of income and institutional quality is introduced, EKC tends to disappear at higher quantiles of emission but proves its existence at lower quantiles. The non-uniqueness of EKC is also confirmed by robustness checks where various instruments for institutional quality as well as an alternative measure of emission are introduced.

Suggested Citation

  • Tapas Mishra & Mamata Parhi & Claude Diebolt & Prashant Gupta, 2015. "Environmental Kuznets Curve and Economic Growth: The Role of Institutional Quality and Distributional Heterogeneity Revisited," Working Papers of BETA 2015-05, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2015-05
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    File URL: http://beta.u-strasbg.fr/WP/2015/2015-05.pdf
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    Cited by:

    1. Okon Emmanuel O., 2021. "Nigeria: Is There an Environmental Kuznets Curve for Fluorinated Gases?," Open Economics, De Gruyter, vol. 4(1), pages 57-71, January.

    More about this item

    Keywords

    Income and environment; Endogeneity bias; Institutional heterogeneity; Instrumental variable; Panel quantile regression.;
    All these keywords.

    JEL classification:

    • 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
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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