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The Structure of Cluster Knowledge Networks Uneven, not Pervasive and Collective

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  • Elisa Giuliani

Abstract

This 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 Info

Paper 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.

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Date of creation: 2005
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Handle: RePEc:aal:abbswp:05-11

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Web page: http://www.druid.dk/

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Keywords: Industrial clusters; knowledge flows; business interactions; networks.;

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References

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  1. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Oxford University Press, vol. 23(2), pages 167-85, March.
  2. Lionel Nesta & Pier Paolo Saviotti, 2005. "COHERENCE OF THE KNOWLEDGE BASE AND THE FIRM'S INNOVATIVE PERFORMANCE: EVIDENCE FROM THE U.S. PHARMACEUTICAL INDUSTRY -super-* ," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 123-142, 03.
  3. Swann, Peter & Prevezer, Martha, 1996. "A comparison of the dynamics of industrial clustering in computing and biotechnology," Research Policy, Elsevier, vol. 25(7), pages 1139-1157, October.
  4. Breschi, Stefano & Lissoni, Francesco, 2000. "Knowledge Spillovers And Local Innovation Systems: A Critical Survey," ERSA conference papers ersa00p362, European Regional Science Association.
  5. Dosi, Giovanni, 1997. "Opportunities, Incentives and the Collective Patterns of Technological Change," Economic Journal, Royal Economic Society, vol. 107(444), pages 1530-47, September.
  6. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
  7. Elisa Giuliani & Martin Bell, 2004. "When Micro Shapes the Meso: Learning Networks in a Chilean Wine Cluster," SPRU Working Paper Series 115, SPRU - Science and Technology Policy Research, University of Sussex.
  8. Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
  9. Bell, Martin & Albu, Michael, 1999. "Knowledge Systems and Technological Dynamism in Industrial Clusters in Developing Countries," World Development, Elsevier, vol. 27(9), pages 1715-1734, September.
  10. Giuliani, Elisa & Bell, Martin, 2005. "The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster," Research Policy, Elsevier, vol. 34(1), pages 47-68, February.
  11. Belderbos, Rene & Capannelli, Giovanni & Fukao, Kyoji, 2001. "Backward Vertical Linkages of Foreign Manufacturing Affiliates: Evidence from Japanese Multinationals," World Development, Elsevier, vol. 29(1), pages 189-208, January.
  12. von Hippel, Eric, 1987. "Cooperation between rivals: Informal know-how trading," Research Policy, Elsevier, vol. 16(6), pages 291-302, December.
  13. Roberta Capello & Alessandra Faggian, 2005. "Collective Learning and Relational Capital in Local Innovation Processes," Regional Studies, Taylor and Francis Journals, vol. 39(1), pages 75-87.
  14. Ron Martin & Peter Sunley, 2003. "Deconstructing clusters: chaotic concept or policy panacea?," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 5-35, January.
  15. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor and Francis Journals, vol. 39(1), pages 61-74.
  16. Luc Anselin, 2000. "Geographical Spillovers and University Research: A Spatial EconometricPerspective," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 31(4), pages 501-515.
  17. Roberta Capello, 1999. "Spatial Transfer of Knowledge in High Technology Milieux: Learning Versus Collective Learning Processes," Regional Studies, Taylor and Francis Journals, vol. 33(4), pages 353-365.
  18. Paul Krugman, 1992. "Geography and Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262610868.
  19. Olivier Crevoisier, 2004. "The Innovative Milieus Approach: Toward a Territorialized Understanding of the Economy?," GRET Publications and Working Papers 10-04, GRET Group of Research in Territorial Economy, University of Neuchâtel.
  20. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-71, September.
  21. Camagni, Roberto, 2002. "On the concept of territorial competitiveness: sound or misleading?," ERSA conference papers ersa02p518, European Regional Science Association.
  22. David Keeble & Frank Wilkinson, 1999. "Collective Learning and Knowledge Development in the Evolution of Regional Clusters of High Technology SMEs in Europe," Regional Studies, Taylor and Francis Journals, vol. 33(4), pages 295-303.
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Citations

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Cited by:
  1. Joana Almodovar & Aurora A.C. Teixeira, 2009. "Conceptualizing clusters through the lens of networks: a critical synthesis," FEP Working Papers 328, Universidade do Porto, Faculdade de Economia do Porto.
  2. Ron Boschma & Anne L. J. ter Wal, 2007. "Knowledge Networks and Innovative Performance in an Industrial District: The Case of a Footwear District in the South of Italy," Industry & Innovation, Taylor and Francis Journals, vol. 14(2), pages 177-199.
  3. Bj�rn Asheim & Ron Boschma & Philip Cooke, 2011. "Constructing Regional Advantage: Platform Policies Based on Related Variety and Differentiated Knowledge Bases," Regional Studies, Taylor and Francis Journals, vol. 45(7), pages 893-904.
  4. Anne Ter Wal, 2008. "Cluster Emergence and Network Evolution: A longitudinal analysis of the inventor network in Sophia-Antipolis," Papers in Evolutionary Economic Geography (PEEG) 0810, Utrecht University, Section of Economic Geography, revised Jun 2008.
  5. Ron Boschma & Simona Iammarino, 2008. "Related variety, trade variety and regional growth in Italy," Papers in Evolutionary Economic Geography (PEEG) 0802, Utrecht University, Section of Economic Geography, revised Jan 2008.
  6. Edward Bergman & Gunther Maier, 2009. "Network central: regional positioning for innovative advantage," The Annals of Regional Science, Springer, vol. 43(3), pages 615-644, September.
  7. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer, vol. 43(3), pages 739-756, September.
  8. Fiorenza Belussi & Silvia Rita Sedita, 2011. "Industrial districts as open learning systems: combining emergent and deliberate knowledge structures," "Marco Fanno" Working Papers 0141, Dipartimento di Scienze Economiche "Marco Fanno".
  9. Fiorenza Belussi & Luciano Pilotti & Silvia Rita Sedita, 2006. "Learning at the boundaries for industrial districts between exploitation of local resources and exploration of global knowledge flows," "Marco Fanno" Working Papers 0033, Dipartimento di Scienze Economiche "Marco Fanno".
  10. Silviya Draganinska & Rudiger Wink, 2006. "Formal Knowledge Examination Institutions: Chance Or Threat to European Medium Tech-Nology SMEs? A Cognitive and Institutional Perspective," ERSA conference papers ersa06p404, European Regional Science Association.

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