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dc.contributor.authorLamla, Michael J.en_US
dc.date.accessioned2008-10-22en_US
dc.date.accessioned2011-10-06T15:40:18Z-
dc.date.available2011-10-06T15:40:18Z-
dc.date.issued2007en_US
dc.identifier.pidoi:10.3929/ethz-a-005390217en_US
dc.identifier.urihttp://hdl.handle.net/10419/50359-
dc.description.abstractThis paper examines how robust economic, political, and demographic variables are related to water and air pollution. Employing Bayesian Averaging of Classical Estimates (BACE) for a cross section of up to 74 countries, 33 variables and 3 proxies for air and water pollution over a period from 1980 to 1995 we confirm the Environmental Kuznets Curve hypothesis, highlight the relevance of efficient production technologies and underline the role of political and demographic variables.en_US
dc.language.isoengen_US
dc.publisherKOF Zürichen_US
dc.relation.ispartofseriesKOF working papers // Konjunkturforschungsstelle, Eidgenössische Technische Hochschule Zürich 164en_US
dc.subject.jelC52en_US
dc.subject.jelO13en_US
dc.subject.jelQ53en_US
dc.subject.ddc330en_US
dc.subject.keywordpollutionen_US
dc.subject.keywordsensitivity analysisen_US
dc.subject.keywordBACEen_US
dc.subject.stwSozialer Indikatoren_US
dc.subject.stwGewässerbelastungen_US
dc.subject.stwLuftverunreinigungen_US
dc.subject.stwSensitivitätsanalyseen_US
dc.subject.stwWelten_US
dc.titleLong-run determinants of pollution: A robustness analysisen_US
dc.typeWorking Paperen_US
dc.identifier.ppn583152562en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:KOF Working Papers, KOF Konjunkturforschungsstelle, ETH Zürich

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