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Economic Growth and CO2 Emissions: a Nonparametric Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Théophile AZOMAHOU
NGUYEN Van Phu
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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.
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Paper provided by Bureau d'Economie Théorique et Appliquée, ULP, Strasbourg in its series Working Papers of BETA with number
2001-01.
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Date of creation: 2001Date of revision:
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Keywords: CO2 emissions ; Economic development ; Environmental Kuznets curve ; Nonparametric estimation ; Panel data ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
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