The Structure of Cluster Knowledge Networks Uneven, not Pervasive and Collective
AbstractThis study focuses on the relationship between industrial clustering and innovation. It contributes to this literature by showing two empirical properties of the cluster learning process: first, that the structure of the knowledge network in a cluster is related with the heterogeneous distribution of firm knowledge bases and, second, that business interactions and inter-firm knowledge flows are not highly co-occurring phenomena. In particular, this paper highlights how the heterogeneity of firms’ knowledge bases generates uneven distribution of knowledge and selective inter-firm learning. This study has been based on empirical evidence collected at firm level in three wine clusters in Italy and Chile. Methods of social network analysis have been applied to process the data.
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Bibliographic InfoPaper provided by DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies in its series DRUID Working Papers with number 05-11.
Date of creation: 2005
Date of revision:
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Web page: http://www.druid.dk/
Industrial clusters; knowledge flows; business interactions; networks.;
Find related papers by JEL classification:
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- O30 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-08-20 (All new papers)
- NEP-INO-2005-08-20 (Innovation)
- NEP-NET-2005-08-20 (Network Economics)
- NEP-SOC-2005-08-20 (Social Norms & Social Capital)
- NEP-TID-2005-08-20 (Technology & Industrial Dynamics)
- NEP-URE-2005-08-20 (Urban & Real Estate Economics)
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