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dc.contributor.authorWei, Juichang
dc.contributor.authorJia, Ruiyue
dc.contributor.authorMarinova, Dora
dc.contributor.authorZhao, Dingtao
dc.date.accessioned2017-01-30T12:55:57Z
dc.date.available2017-01-30T12:55:57Z
dc.date.created2013-03-14T20:00:43Z
dc.date.issued2012
dc.identifier.citationWei, Juichang and Jia, Ruiyue and Marinova, Dora and Zhao, Dingtao. 2012. Modeling Pollution Control and Performance in China’s Provinces. Journal of Environmental Management 113: pp. 263-270.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26917
dc.identifier.doi10.1016/j.jenvman.2012.08.040
dc.description.abstract

The paper constructs a pollution control performance (PCP) evaluation model by introducing the norm of n-dimensional space. The PCP of 30 Chinese provinces for the period of 2003–2008 is evaluated based on the model and the factors influencing China's pollution control are further examined. It is found that: (1) China's PCP has improved rapidly but there is a large regional imbalance with the PCP of Eastern China being much better than that of Central and Western China; (2) to improve the level of China's PCP, government policies should consider industrial structure adjustment, restricting industry entries and increased investment in pollution abatement and R&D.

dc.publisherAcademic Press
dc.titleModeling Pollution Control and Performance in China’s Provinces
dc.typeJournal Article
dcterms.source.volume113
dcterms.source.startPage263
dcterms.source.endPage270
dcterms.source.issn03014797
dcterms.source.titleJournal of Environmental Management
curtin.note

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Environmental Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Environmental Management, Vol. 113 (2012). DOI: 10.1016/j.jenvman.2012.08.040

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curtin.accessStatusOpen access


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