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The heterogeneity of Carbon Kuznets Curves for advanced countries. Comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators

  • Massimiliano Mazzanti

    ()

  • Antonio Musolesi

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 Â…nd 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, that leads the group of advanced countries. The other two lag behind. We show for the Â…rst 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 characterise 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 latter presenting turning points closely around $13,000 per capita GDP. Heterogeneous panel estimates also show that in those two cases 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 speciÂ…cations.

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Paper provided by University of Ferrara, Department of Economics in its series Working Papers with number 201206.

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Length: 21 pages
Date of creation: 20 Apr 2012
Date of revision:
Handle: RePEc:udf:wpaper:201206
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  1. Marzio Galeotti & Matteo Manera & Alessandro Lanza, 2006. "On the Robustness of Robustness Checks of the Environmental Kuznets Curve," Working Papers 20060501, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica, revised May 2006.
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