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Knowledge intensive industries, networks, and collective learning

  • Franz Tödtling

    ()

  • Patrick Lehner

    ()

  • Michaela Trippl

    ()

Knowledge has become a key source of competitiveness for advanced regions and nations, indicating a transformation of capitalism towards “knowledge-driven economies“. Know ledge intensive sectors in production and in services have a lead in this respect, they can be considered as role models for the future. The innovation process, the mechanisms of knowledge exchange and the respective linkages in those industries differ quite markedly from those in other sectors. Clustering and local knowledge spillovers are frequently stated phenomena, although it is still unclear to what extent regional networks and collective learning are indeed relevant and what the mechanisms of knowledge flows are. The aim of the paper is to examine in a differentiated way the character of the innovation process and the ype of interactions in those industries, in order to find out how strongly they are related to regional, national and international innovation systems. We will analyse the relevant types of actors, the respective mechanisms of knowledge exchange and the importance of collective learning and innovation. The paper will discuss relevant theoretical concepts and available evidence and it will be based on an empirical analysis for Austria. The data base is a recent firm survey which was carried out in the year 2003. From this analysis conclusions regarding the role of regional and other innovation systems for the development of knowledge-based industries will be drawn.

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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa04p167.

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Date of creation: Aug 2004
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Handle: RePEc:wiw:wiwrsa:ersa04p167
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  1. Fritsch, Michael & Franke, Grit, 2004. "Innovation, regional knowledge spillovers and R&D cooperation," Research Policy, Elsevier, vol. 33(2), pages 245-255, March.
  2. G. M. Peter Swann & Rui Baptista, 1999. "A comparison of clustering dynamics in the US and UK computer industries," Journal of Evolutionary Economics, Springer, vol. 9(3), pages 373-399.
  3. Archibugi, Daniele & Iammarino, Simona, 1999. "The policy implications of the globalisation of innovation," Research Policy, Elsevier, vol. 28(2-3), pages 317-336, March.
  4. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
  5. Harald Bathelt & Andersand Malmberg & Peter Maskell, 2002. "Clusters and Knowledge Local Buzz, Global Pipelines and the Process of Knowledge Creation," DRUID Working Papers 02-12, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
  6. Bresnahan, Timothy F & Gambardella, Alfonso & Saxenian, AnnaLee, 2001. "'Old Economy' Inputs for 'New Economy' Outcomes: Cluster Formation in the New Silicon Valleys," Industrial and Corporate Change, Oxford University Press, vol. 10(4), pages 835-60, December.
  7. DeBresson, Chris & Amesse, Fernand, 1991. "Networks of innovators :A review and introduction to the issue," Research Policy, Elsevier, vol. 20(5), pages 363-379, October.
  8. Audretsch, David B & Feldman, Maryann P, 1995. "Innovative Clusters and the Industry Life Cycle," CEPR Discussion Papers 1161, C.E.P.R. Discussion Papers.
  9. Paul A. David & Dominique Foray, 2005. "Economic Fundamentals Of the Knowledge Society," Development and Comp Systems 0502008, EconWPA.
  10. Anselin, Luc & Varga, Attila & Acs, Zoltan, 1997. "Local Geographic Spillovers between University Research and High Technology Innovations," Journal of Urban Economics, Elsevier, vol. 42(3), pages 422-448, November.
  11. Bjørn Asheim, . "Industrial Districts as 'learning regions'. A condition for prosperity," STEP Report series 199503, The STEP Group, Studies in technology, innovation and economic policy.
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