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dc.contributor.authorLu, Ren
dc.contributor.authorRuan, Min
dc.contributor.authorReve, Torger
dc.date.accessioned2016-11-21T14:12:22Z
dc.date.available2016-11-21T14:12:22Z
dc.date.issued2016
dc.identifier.citationResearch Policy, 45(2016)10, 1984-1995nb_NO
dc.identifier.issn0048-7333
dc.identifier.issn1873-7625
dc.identifier.urihttp://hdl.handle.net/11250/2422201
dc.descriptionThis is the accepted and refereed manuscript to the articlenb_NO
dc.description.abstractWe study how industrial clusters in three different life phases both influence and moderate total factor productivity (TFP) of other co-located industries or clusters. A multilevel regression model is applied to panel data, 1993–2012, from the Pearl River Delta, China. Our empirical results show that emerging clusters have negative effects on other co-located industries’ or clusters’ TFP while mature clusters have positive effects. Emerging clusters positively moderate TFP, while mature clusters negatively moderate TFP of other co-located industries or clusters; declining clusters only have direct positive impact on TFP of other co-located industries or clusters.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleCluster and co-located cluster effects: An empirical study of six Chinese city regionsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalResearch Policynb_NO
dc.identifier.doihttp://dx.doi.org/10.1016/j.respol.2016.07.003
dc.description.localcode2, Forfatterversjonnb_NO


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