Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework

dc.citation.epage47en_US
dc.citation.issueNumber1en_US
dc.citation.spage37en_US
dc.citation.volumeNumber48en_US
dc.contributor.authorZaim, O.en_US
dc.date.accessioned2015-07-28T11:57:20Z
dc.date.available2015-07-28T11:57:20Z
dc.date.issued2004en_US
dc.departmentDepartment of Economicsen_US
dc.description.abstractIn decomposing the total emissions into scale and pollution intensity, the conventional approach uses the total output as a measure of scale, and hence ignores the fact that pollution is mainly a byproduct of the manufacturing activity. This study recognizing that air pollution is mainly a byproduct of manufacturing activity proposes a new definition of pollution intensity-pollution per unit of manufacturing output-, and a new technique to measure the aggregate pollution intensity. The index used is a variant of Malmquist quantity index and satisfies well-established axiomatic properties. One other focal point of this study is the overtime comparisons of pollution intensities, i.e., change in pollution intensity, using indexes that are firmly established in productivity growth literature. (C) 2003 Elsevier B.V. All rights reserved.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T11:57:20Z (GMT). No. of bitstreams: 1 10.1016-j.ecolecon.2003.08.003.pdf: 148846 bytes, checksum: ed1c72287d4abb0081dd09ab1f7571a6 (MD5)en
dc.identifier.doi10.1016/j.ecolecon.2003.08.003en_US
dc.identifier.eissn1873-6106
dc.identifier.issn0921-8009
dc.identifier.urihttp://hdl.handle.net/11693/11300
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ecolecon.2003.08.003en_US
dc.source.titleEcological Economicsen_US
dc.subjectPollution intensityen_US
dc.subjectMalmquist quantity indexen_US
dc.subjectData envelopment analysisen_US
dc.subjectDistance functionsen_US
dc.titleMeasuring environmental performance of state manufacturing through changes in pollution intensities: a DEA frameworken_US
dc.typeArticleen_US

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