Economic development and CO2 emissions:: A nonparametric panel approach

• 成果类型: Article
• 署名作者: Azomahou, Theophile; Laisney, Francois; Van, Phu Nguyen
• 署名单位: Universites de Strasbourg Etablissements Associes; Universite de Strasbourg; Leibniz Association; Zentrum fur Europaische Wirtschaftsforschung (ZEW); CY Cergy Paris Universite
• 刊物名称: JOURNAL OF PUBLIC ECONOMICS
• ISSN/ISSBN: 0047-2727
• DOI: 10.1016/j.jpubeco.2005.09.005
• 发表日期: 2006
• 页码: 1347-1363
• 关键词: environmental kuznets curve; panel data; poolability test; monotonicity test; specification test

摘要

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. (c) 2005 Elsevier B.V. All rights reserved.