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dc.contributor.authorSievers, Timen_US
dc.date.accessioned2011-09-05en_US
dc.date.accessioned2011-09-05T13:52:40Z-
dc.date.available2011-09-05T13:52:40Z-
dc.date.issued2005en_US
dc.identifier.isbn978-3-940369-03-1en_US
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_US
dc.language.isoengen_US
dc.publisherUniv., Fak. Wirtschafts- und Sozialwiss., Dep. Wirtschaftswiss. Hamburgen_US
dc.relation.ispartofseriesHamburg contemporary economic discussions 02/2005en_US
dc.subject.jelC0en_US
dc.subject.jelO3en_US
dc.subject.ddc330en_US
dc.subject.keywordknowledgeen_US
dc.subject.keywordinnovationen_US
dc.subject.keywordinnovative productionen_US
dc.subject.keywordvector representationen_US
dc.subject.keywordcomplementarityen_US
dc.titleInformation-driven clustering: An alternative to the knowledge spillover storyen_US
dc.typeWorking Paperen_US
dc.identifier.ppn667686282en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:Hamburg Contemporary Economic Discussions, Lehrstuhl für Wirtschaftspolitik, Universität Hamburg

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