Economic development and CO2 emissions: A nonparametric panel approach
AbstractWe 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. (1996), 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. --
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Public Economics.
Volume (Year): 90 (2006)
Issue (Month): 6-7 (August)
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Web page: http://www.elsevier.com/locate/inca/505578
Other versions of this item:
- Azomahou, Théophile & Laisney, François & van Phu, Nguyen, 2005. "Economic Development and CO2 Emissions: A Nonparametric Panel Approach," ZEW Discussion Papers 05-56, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
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