Arbeitspapier

Exploring the environmental Kuznets hypothesis: Theoretical and econometric problems

Focussing on the prime example of CO2 emissions, we discuss several important theoretical and econometric problems that arise when studying environmental Kuznets curves (EKCs). The dominant theoretical approach is given by integrated assessment modelling, which consists of economic models that are combined with environmental impactmodels. We critically evaluate the aggregation, model dynamics and calibration aspects and their implications for the validity of the results. We then turn to a discussion of several important econometric problems that go almost unnoticed in the literature. The most fundamental problems relate to nonlinear transformations of nonstationary regressors and, in a nonstationary panel context, to neglected cross-sectional dependence. We discuss the implications of these two major and some minor problems that arise in the econometric analysis of Kuznets curves. Our discussion shows that EKC modelling as performed to date is subject to major drawbacks at both the theoretical and the econometric level.

Sprache
Englisch

Erschienen in
Series: Reihe Ökonomie / Economics Series ; No. 183

Klassifikation
Wirtschaft
Renewable Resources and Conservation: General
Hypothesis Testing: General
Estimation: General
Thema
carbon Kuznets curve
integrated assessment models
regressions with integrated variables
nonstationary panels
Kohlendioxid
Schätztheorie
Environmental Kuznets Curve

Ereignis
Geistige Schöpfung
(wer)
Müller-Fürstenberger, Georg
Wagner, Martin
Ereignis
Veröffentlichung
(wer)
Institute for Advanced Studies (IHS)
(wo)
Vienna
(wann)
2006

Handle
Letzte Aktualisierung
20.09.2024, 08:22 MESZ

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.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Müller-Fürstenberger, Georg
  • Wagner, Martin
  • Institute for Advanced Studies (IHS)

Entstanden

  • 2006

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