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A Bayesian Approach to the Estimation of Environmental Kuznets Curves for CO2 Emissions Author info | Abstract | Publisher info | Download info | Related research | Statistics Massimiliano Mazzanti (University of Ferrara)
Antonio Musolesi (CERIS DSE CNR)
Roberto Zoboli (CERIS DSE CNR)
This paper investigates the EKC curves for CO2 emissions in a panel of 109 countries during the period 1959-2001. The length of the series makes the application of a heterogeneous estimator suitable from an econometric point of view. The results, based on the hierarchical Bayes estimator, show that different EKC dynamics are associated with the different sub samples of countries considered. On average, more industrialized countries show an EKC evidence in quadratic specifications, which are nevertheless probably evolving into an N shape, emerging from cubic specifications. Less developed countries consistently show that CO2 emissions still rise positively with income, though some signals of an EKC path arise.
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Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number
2006.121.
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Date of creation: Oct 2006Date of revision:
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Keywords: Environmental Kuznets Curve ; CO2 Emissions ; Bayesian Approach ; Heterogeneous Panels ; Other versions of this item:
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
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