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Impact of the types of clusters on the innovation output and the appropriation of rents from innovation

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  • Manuel Portugal Ferreira

    ()
    (Instituto Politécnico de Leiria)

  • Fernando Ribeiro Serra

    ()
    (Uninove – Universidade Nove de Julho)

  • Benny Kramer Costa

    ()
    (Uninove – Universidade Nove de Julho)

  • Emerson Maccari

    ()
    (Uninove – Universidade Nove de Julho)

  • Hergos Couto

    ()
    (Uninove – Universidade Nove de Julho)

Abstract

The ability to generate innovations and capture the rents from innovation are important for firms’ competitive advantage. Increasingly firms seek knowledge abundant locations, or industry clusters, to access novel knowledge and generate innovations through knowledge recombinations (Schumpeter, 1934). We examine how different types of clusters impact on the innovation output, the knowledge flows among the clustered firms and, ultimately, on who captures the rents from innovation. The type of cluster reflects the configuration of firms and the interactions among firms, individuals and agencies in the cluster and is likely to be a major driver of both the innovative output and of which firms will be more likely to capture the rents from innovation. Extant research has noted that the social and business networks binding firms in clusters are excellent vehicles for the flow of knowledge that eases innovations, but different types of clusters may lead to different outcomes.

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Bibliographic Info

Paper provided by globADVANTAGE, Polytechnic Institute of Leiria in its series Working Papers with number 102.

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Date of creation: 29 Sep 2013
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Handle: RePEc:pil:wpaper:102

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Keywords: clusters; types of clusters; innovation; appropriation of rents; innovation rents;

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  1. Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
  2. Stefano Breschi, 2000. "The Geography of Innovation: A Cross-sector Analysis," Regional Studies, Taylor & Francis Journals, vol. 34(3), pages 213-229.
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  10. Steven Pinch & Nick Henry & Mark Jenkins & Stephen Tallman, 2003. "From 'industrial districts' to 'knowledge clusters': a model of knowledge dissemination and competitive advantage in industrial agglomerations," Journal of Economic Geography, Oxford University Press, vol. 3(4), pages 373-388, October.
  11. Nigel Driffield & Max Munday, 2000. "Industrial Performance, Agglomeration, and Foreign Manufacturing Investment in the UK," Journal of International Business Studies, Palgrave Macmillan, vol. 31(1), pages 21-37, March.
  12. Bruce Kogut & Udo Zander, 1993. "Knowledge of the Firm and the Evolutionary Theory of the Multinational Corporation," Journal of International Business Studies, Palgrave Macmillan, vol. 24(4), pages 625-645, December.
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