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The Structure and Evolution of Industrial Clusters: Transactions, Technology and Knowledge Spillovers Author info | Abstract | Publisher info | Download info | Related research | Statistics Simona Iammarino () (SPRU, University of Sussex )
Philip McCann () (University of Reading)
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In this paper we investigate the relationship between location patterns, innovation processes and industrial clusters. In order to do this we extend a transactions costs-based classification of industrial clusters into a knowledge-based taxonomy of clusters, along the lines suggested by a critical revision of the main assumptions underlying most of the existing literature on spatially defined clusters. Our arguments show that the transactions costs approach and the innovation and technological change framework are broadly consistent, and that real insights into the microfoundations, nature, and evolution of clusters can be provided by these classification systems.
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Paper provided by University of Sussex, SPRU - Science and Technology Policy Research in its series SPRU Electronic Working Paper Series with number
138.
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Length: 33 pages
Date of creation: 27 Feb 2006Date of revision:
Handle: RePEc:sru:ssewps:138Contact details of provider: Postal: The Freeman Centre, Brighton, East Sussex, BN1 9QE Phone: +44 (0)1273 686758 Fax: +44 (0)1273 685865 Email: Web page: http://www.sussex.ac.uk/spru/ More information through EDIRC
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Keywords: industrial clusters ; firm location ; innovation processes ; cluster classification ; Other versions of this item:
Find related papers by JEL classification: O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes R3 - Urban, Rural, and Regional Economics - - Production Analysis and Firm Location D8 - Microeconomics - - Information, Knowledge, and Uncertainty
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