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The heterogeneity of carbon Kuznets curves for advanced countries: comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators

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  • Massimiliano Mazzanti
  • Antonio Musolesi

Abstract

We investigate Carbon Kuznets Curves (CKC) relationships for advanced countries grouped in policy relevant groups -- North America and Oceania, South Europe, North Europe -- by means of various homogeneous, heterogeneous and shrinkage/Bayesian panel estimators. We try to provide an answer to the question ‘how sensitive are the CKC estimates to changes in the level of parameters' heterogeneity?’. We do find that in coherence with their ‘policy and economic’ commitment to carbon reductions and environmental market-based instruments implementation, bell shapes are present only for northern EU, which leads the group of advanced countries. The other two lag behind. We show for the first time that CKC shapes are present if we net out Europe of the southern and less developed countries. This is coherent with the Kuznets paradigm. The negative side of the tale is that they characterize a bunch of few countries. Other advanced countries lag behind and are far from reaching a CKC dynamics. Heterogeneous and Bayesian estimators clearly show this, with the EU presenting turning points closely around $13 000 per capita Gross Domestic Product (GDP). Heterogeneous panel estimates also show that for lagging countries presumed bell shapes turn into linear relationships. The stability of outcomes across models is stronger when we compare heterogeneous rather than homogeneous models. If it is compared with other studies, our analysis highlights a relative lower variability across specifications.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 45 (2013)
Issue (Month): 27 (September)
Pages: 3827-3842

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Handle: RePEc:taf:applec:v:45:y:2013:i:27:p:3827-3842

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Cited by:
  1. Ernesto Aguayo-Téllez & José Martínez-Navarro, 2013. "Internal and international migration in Mexico: 1995--2000," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1647-1661, May.
  2. Mazzanti, M. & Musolesi, A., 2013. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Working Papers 2013-08, Grenoble Applied Economics Laboratory (GAEL).
  3. Thomas Jobert & Fatih Karanfil & Anna Tykhonenko, 2014. "Estimating country-specific environmental Kuznets curves from panel data: a Bayesian shrinkage approach," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1449-1464, May.
  4. Mazzanti, M. & Musolesi, A., 2013. "Economic development and CO2 emissions: assessing the effect of policy and energy time events for advanced countries," Working Papers 2013-11, Grenoble Applied Economics Laboratory (GAEL).
  5. Massimiliano Mazzanti & Antonio Musolesi, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Working Papers 2013.91, Fondazione Eni Enrico Mattei.

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