A cointegrating polynomial regression analysis of the material Kuznets curve hypothesis

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dc.contributor.authorFrondel, Manuel
dc.contributor.authorGrabarczyk, Peter
dc.contributor.authorSommer, Stephan
dc.contributor.authorWagner, Martin
dc.date.accessioned2016-11-23T12:15:06Z
dc.date.available2016-11-23T12:15:06Z
dc.date.issued2016
dc.description.abstractEmploying consumption data for aluminum, lead and zinc for eight OECD countries spanning from 1900 to 2006, this paper tests the hypothesis underlying the notion of the Material Kuznets Curve (MKC), which postulates an inverted U-shaped relationship between a country’s level of economic development and its intensity of metal use. Applying the tests and estimation techniques for nonlinear cointegration developed by Saikkonen and Choi (2004),Wagner (2013) as well as Wagner and Hong (2016), we find that the MKC hypothesis is less strongly supported by the data than when employing the standard methods that have been used in the empirical Environmental Kuznets Curve (EKC) literature so far. The evidence for a cointegrating MKC is mixed, at best.en
dc.identifier.urihttp://hdl.handle.net/2003/35381
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-17422
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;72, 2016en
dc.subjectintensity of useen
dc.subjectnonlinear cointegrationen
dc.subjectmetalsen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleA cointegrating polynomial regression analysis of the material Kuznets curve hypothesisen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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