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Pollution, natural resource and economic growth: an econometric analysis

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  • Shunsuke Managi

Abstract

Theoretical arguments imply that an inverted U-shaped relationship may be quite plausible. It is still not clear from the empirical literature whether the relationship of income and environmental degradation is linear or inverted U-shaped. This paper utilises a more global representative sample, than previous EKC studies, and re-evaluates the environmental Kuznets curve (EKC) of sulphur dioxide, carbon dioxide, nitrogen dioxide, forestry, mineral depletion, total suspended particulates, biochemical oxygen demand and nationally protected areas. Furthermore, detailed regional level analysis of carbon dioxide and pollution from agriculture are analysed using detailed disaggregated level data since it may not be reasonable to impose isomorphic EKCs if cross-sections vary in terms of resource endowments and infrastructure.

Suggested Citation

  • Shunsuke Managi, 2006. "Pollution, natural resource and economic growth: an econometric analysis," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 6(1), pages 73-88.
    • Handle: RePEc:ids:ijgenv:v:6:y:2006:i:1:p:73-88
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    Citations

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    Cited by:

    1. Mazzanti, Massimiliano & Montini, Anna & Zoboli, Roberto, 2007. "Economic Dynamics, Emission Trends and the EKC Hypothesis New Evidence Using NAMEA and Provincial Panel Data for Italy," Climate Change Modelling and Policy Working Papers 10261, Fondazione Eni Enrico Mattei (FEEM).
    2. Mohamed M. Mostafa, 2020. "Catastrophe Theory Predicts International Concern for Global Warming," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 709-731, September.
    3. Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2017. "Evaluating a continent-wise situation for capital data," Economic Analysis and Policy, Elsevier, vol. 55(C), pages 57-74.
    4. Mostafa, Mohamed M. & Nataraajan, Rajan, 2009. "A neuro-computational intelligence analysis of the ecological footprint of nations," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3516-3531, July.
    5. Du, W.C. & Xia, X.H., 2018. "How does urbanization affect GHG emissions? A cross-country panel threshold data analysis," Applied Energy, Elsevier, vol. 229(C), pages 872-883.
    6. Massimiliano Mazzanti & Anna Montini & Roberto Zoboli, 2008. "Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 277-301.
    7. Tsurumi, Tetsuya & Managi, Shunsuke, 2010. "Does energy substitution affect carbon dioxide emissions - Income relationship?," Journal of the Japanese and International Economies, Elsevier, vol. 24(4), pages 540-551, December.
    8. Mohamed M. Mostafa, 2016. "Post-materialism, Religiosity, Political Orientation, Locus of Control and Concern for Global Warming: A Multilevel Analysis Across 40 Nations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1273-1298, September.
    9. Shanthini, Rajaratnam, 2007. "Fossil fuel based CO2 emissions, economic growth, and world crude oil price nexus in the United States," MPRA Paper 29574, University Library of Munich, Germany, revised 19 Feb 2011.

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