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A Structural Nonparametric Reappraisal of the co2 Emissions–Income Relationship

Author

Listed:
  • Théophile Azomahou

    (UNU-MERIT - UNU-MERIT - United Nations University - Maastricht University)

  • Micheline Goedhuys

    (UNU-MERIT - UNU-MERIT - United Nations University - Maastricht University)

  • Phu Nguyen-Van

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

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

  • Théophile Azomahou & Micheline Goedhuys & Phu Nguyen-Van, 2016. "A Structural Nonparametric Reappraisal of the co2 Emissions–Income Relationship," Post-Print hal-01722964, HAL.
    • Handle: RePEc:hal:journl:hal-01722964
    DOI: 10.3917/reco.pr2.0061
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    References listed on IDEAS

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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

    Co2; Revenu d'activité;

    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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