Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/50359 
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dc.contributor.authorLamla, Michael J.en
dc.date.accessioned2008-10-22-
dc.date.accessioned2011-10-06T15:40:18Z-
dc.date.available2011-10-06T15:40:18Z-
dc.date.issued2007-
dc.identifier.pidoi:10.3929/ethz-a-005390217en
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
dc.language.isoengen
dc.publisher|aETH Zurich, KOF Swiss Economic Institute |cZurichen
dc.relation.ispartofseries|aKOF Working Papers |x164en
dc.subject.jelC52en
dc.subject.jelO13en
dc.subject.jelQ53en
dc.subject.ddc330en
dc.subject.keywordpollutionen
dc.subject.keywordsensitivity analysisen
dc.subject.keywordBACEen
dc.subject.stwSozialer Indikatoren
dc.subject.stwGewässerbelastungen
dc.subject.stwLuftverunreinigungen
dc.subject.stwSensitivitätsanalyseen
dc.subject.stwWelten
dc.titleLong-run determinants of pollution: A robustness analysis-
dc.typeWorking Paperen
dc.identifier.ppn583152562en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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