Export für Ihre Literaturverwaltung

Übernahme per Copy & Paste
Bibtex-Export
Endnote-Export

       

Weiterempfehlen

Bookmark and Share


A panel data heterogeneous Bayesian estimation of environmental Kuznets curves for CO2 emissions

[Zeitschriftenartikel]

Musolesi, Antonio; Mazzanti, Massimiliano; Zoboli, Roberto

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):http://nbn-resolving.de/urn:nbn:de:0168-ssoar-256919

Weitere Angaben:
Abstract This paper investigates the environmental Kuznets curves (EKC) for CO2 emissions in a panel of 109 countries during the period 1959-2001. The length of the series makes the application of a heterogeneous estimator suitable from an econometric point of view. The results, based on the hierarchical Bayes estimator, show that different EKC dynamics are associated with the different sub-samples of countries considered. On average, more industrialized countries show evidence of EKC in quadratic specifications, which nevertheless are probably evolving into an N shape based on their cubic specification. Nevertheless, it is worth noting that the EU, and not the Umbrella group led by US, has been driving currently observed EKC-like shapes. The latter is associated to monotonic income-CO2 dynamics. The EU shows a clear EKC shape. Evidence for less developed countries consistently shows that CO2 emissions rise positively with income, though there are some signs of an EKC. Analyses of future performance, nevertheless, favor quadratic specifications, thus supporting EKC evidence for wealthier countries and non-EKC shapes for industrializing regions.
Klassifikation Ökologie und Umwelt; Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Freie Schlagwörter Environmental Kuznets Curve; CO2 emissions; Bayesian approach; heterogeneous panels; C23; Q53
Sprache Dokument Englisch
Publikationsjahr 2010
Seitenangabe S. 2275-2287
Zeitschriftentitel Applied Economics, 42 (2010) 18
DOI http://dx.doi.org/10.1080/00036840701858034
Status Postprint; begutachtet (peer reviewed)
Lizenz PEER Licence Agreement (applicable only to documents from PEER project)
top