Arbeitspapier
A Bayesian Approach to the Estimation of Environmental Kuznets Curves for CO2 Emissions
This paper investigates the EKC curves 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 an EKC evidence in quadratic specifications, which are nevertheless probably evolving into an N shape, emerging from cubic specifications. Less developed countries consistently show that CO2 emissions still rise positively with income, though some signals of an EKC path arise.
- Sprache
-
Englisch
- Erschienen in
-
Series: Nota di Lavoro ; No. 121.2006
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Renewable Resources and Conservation: Water
- Thema
-
Environmental Kuznets Curve
CO2 Emissions
Bayesian Approach
Heterogeneous Panels
Environmental Kuznets Curve
Umweltbelastung
Wirtschaftswachstum
Kohlendioxid
Bayes-Statistik
Welt
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Mazzanti, Massimiliano
Musolesi, Antonio
Zoboli, Roberto
- Ereignis
-
Veröffentlichung
- (wer)
-
Fondazione Eni Enrico Mattei (FEEM)
- (wo)
-
Milano
- (wann)
-
2006
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Mazzanti, Massimiliano
- Musolesi, Antonio
- Zoboli, Roberto
- Fondazione Eni Enrico Mattei (FEEM)
Entstanden
- 2006
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