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dc.contributor.authorSievers, Timen
dc.date.accessioned2011-09-05-
dc.date.accessioned2011-09-05T13:52:40Z-
dc.date.available2011-09-05T13:52:40Z-
dc.date.issued2005en
dc.identifier.isbn978-3-940369-03-1en
dc.identifier.urihttp://hdl.handle.net/10419/49290-
dc.description.abstractThis paper builds a model in which clustering emerges as the equilibrium outcome driven by informational imperfections and the importance of knowledge and uncertainty in innovative production even when knowledge is fully exclusive and appropriable. This motive for clustering will be stronger the more important new knowledge in the industry. It thereby helps to account for the empirical finding that economic activity clusters more strongly in industries where new knowledge plays a bigger role. It weakens the case for local knowledge spillovers to explain innovative clustering.en
dc.language.isoengen
dc.publisher|aUniversity of Hamburg, Faculty of Business, Economics and Social Sciences, Chair for Economic Policy |cHamburgen
dc.relation.ispartofseries|aHamburg Contemporary Economic Discussions |x02/2005en
dc.subject.jelC0en
dc.subject.jelO3en
dc.subject.ddc330en
dc.subject.keywordknowledgeen
dc.subject.keywordinnovationen
dc.subject.keywordinnovative productionen
dc.subject.keywordvector representationen
dc.subject.keywordcomplementarityen
dc.titleInformation-driven clustering: An alternative to the knowledge spillover story-
dc.typeWorking Paperen
dc.identifier.ppn667686282en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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