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Economic Growth and CO2 Emissions: a Nonparametric Approach

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  • Théophile AZOMAHOU
  • NGUYEN Van Phu

Abstract

This paper examines the empirical interplay between economic growth and greenhouse gas emissions using panel data.Relying on nonparametric methods, we find evidence supporting specifications which assume the constancy of the relationship between per capita CO2 emissions and per capita GDP during the period of the study. Moreover, the usually adopted polynomial functional form is rejected against our nonparametric modelling. It is shown that the relationship between gas emissions and GDP displays more complex patterns, despite its monotonous shape, than the well-known Kuznets curve obtained from ad hoc parametric specifications. The economic development process has a negative effect on gas emissions, especially for the early and the advanced stages of development. As a result, developed countries as well as developing countries should make efforts to reduce CO2 emissions.

Suggested Citation

  • Théophile AZOMAHOU & NGUYEN Van Phu, 2001. "Economic Growth and CO2 Emissions: a Nonparametric Approach," Working Papers of BETA 2001-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2001-01
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    More about this item

    Keywords

    CO2 emissions; Economic development; Environmental Kuznets curve; Nonparametric estimation; Panel data;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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