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Economic Development and CO2 Emissions: A Nonparametric Panel Approach

Authors :
Théophile Azomahou
François Laisney
Phu Nguyen Van
Bureau d'Économie Théorique et Appliquée (BETA)
Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Université de Strasbourg (UNISTRA)
Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Source :
Journal of Public Economics, Journal of Public Economics, Elsevier, 2008, pp.1347-1363, HAL
Publication Year :
2008
Publisher :
HAL CCSD, 2008.

Abstract

We examine the empirical relation between CO2 emissions per capita and GDP per capita during the period 1960–1996, using a panel of 100 countries. Relying on the nonparametric poolability test of Baltagi et al. [Baltagi, B.H., Hidalgo, J., Li, Q., 1996. A nonparametric test for poolability using panel data, Journal of Econometrics 75, 345–367], we find evidence of structural stability of the relationship. We then specify a nonparametric panel data model with country-specific effects. Estimation results show that this relationship is upward sloping. Nonparametric specification tests do not reject monotonicity but do reject the polynomial functional form which leads to the environmental Kuznets curve in several studies.

Details

Language :
English
ISSN :
00472727
Database :
OpenAIRE
Journal :
Journal of Public Economics, Journal of Public Economics, Elsevier, 2008, pp.1347-1363, HAL
Accession number :
edsair.doi.dedup.....26094be4e2f0f30d7000ae4db698714a