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A Structural nonparametric reappraisal of the CO2 emissions-income relationships

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  • Theophile T. Azomahou
  • Micheline Goedhuys
  • Phu Nguyen-Van

Abstract

Relying on a structural nonparametric estimation, we show that CO2 emissions clearly increase with income at low income levels. For higher income levels, we observe a decreasing relationship, though not significant. We also find that CO2 emissions monotonically increases with energy use at a decreasing rate.

Suggested Citation

  • Theophile T. Azomahou & Micheline Goedhuys & Phu Nguyen-Van, 2010. "A Structural nonparametric reappraisal of the CO2 emissions-income relationships," Working Papers of BETA 2010-03, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2010-03
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    References listed on IDEAS

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    1. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D tax incentives in small and large enterprises in Québec," Small Business Economics, Springer, vol. 33(1), pages 91-107, June.
    2. Azomahou, Theophile & Laisney, Francois & Nguyen Van, Phu, 2006. "Economic development and CO2 emissions: A nonparametric panel approach," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1347-1363, August.
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    7. Perrings,Charles, 1987. "Economy and Environment," Cambridge Books, Cambridge University Press, number 9780521340816, September.
    8. Bertinelli, Luisito & Strobl, Eric, 2005. "The Environmental Kuznets Curve semi-parametrically revisited," Economics Letters, Elsevier, vol. 88(3), pages 350-357, September.
    9. Nguyen-Van, Phu, 2010. "Energy consumption and income: A semiparametric panel data analysis," Energy Economics, Elsevier, vol. 32(3), pages 557-563, May.
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    Cited by:

    1. Meixing Dai, 2012. "External Constraint and Financial Crises with Balance Sheet Effects," International Economic Journal, Taylor & Francis Journals, vol. 26(4), pages 567-585, March.
    2. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    3. Musolesi Antonio & Mazzanti Massimiliano, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 521-541, December.
    4. Mazzanti, Massimiliano & Musolesi, Antonio, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Climate Change and Sustainable Development 162374, Fondazione Eni Enrico Mattei (FEEM).
    5. Longhi, C. & Musolesi, A. & Baumont, C., 2013. "Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach," Working Papers 2013-10, Grenoble Applied Economics Laboratory (GAEL).

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    More about this item

    Keywords

    Nonparametric triangular systems; EKC; Energy use; CO2 emissions.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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