A Bayesian Approach to the Estimation of Environmental Kuznets Curves for CO2 Emissions

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Nota di Lavoro ; No. 121.2006

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Renewable Resources and Conservation: Water
• Subject: Environmental Kuznets Curve ; CO2 Emissions ; Bayesian Approach ; Heterogeneous Panels ; Environmental Kuznets Curve ; Umweltbelastung ; Wirtschaftswachstum ; Kohlendioxid ; Bayes-Statistik ; Welt

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Mazzanti, Massimiliano ; Musolesi, Antonio ; Zoboli, Roberto
• Event: Veröffentlichung
• (who): Fondazione Eni Enrico Mattei (FEEM)
• (where): Milano
• (when): 2006

Further information

• Handle: http://hdl.handle.net/10419/74171
• Last update: 10.03.2025, 11:46 AM CET