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Multiscalar Clusters And Networks As The Foundations Of Innovation Dynamics In The Biopharmaceutical Industry

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  • Marc-Hubert DEPRET

    (University Henri Poincare)

  • Abdelillah HAMDOUCH

    (University of Lille 1)

Abstract

Based on the case of the biopharmaceutical industry, the aim of this paper is to challenge the core conviction now widespread within the “spatial clustering theory”, which devotes a key (if not exclusive) role to geographical proximity in explaining clustering dynamics of innovation activities within spe-cific territories. Our argument is threefold. First, mere geographical proximity is not enough; in many cases, cognitive, organizational and strategic forms of proximity are often at least as crucial as the topological closeness among inno-vation actors. Second, our idea is that clusters are fundamentally the territoria-lized outcome of combinations of inter-organizational and social networks among actors pursuing common goals, each of these actors having a specific territorial and social embedding that allows him or her (or not) to operate and interact at different spatial scales. These networks are socially and territorially embedded, but they can operate at various spatial scales. Third, sector-driven dynamics – as is in the case of biopharmaceuticals – may structurally frame the way the actors interact and collaborate in R D projects and innovation proce-sses. Indeed, the dynamics underlying the emergence, structuring and evolution of biopharmaceutical clusters are both multi-actor and multiscalar. In this perspective, clusters and networks appear to be intertwined phenomena, con-substantial one to each other, and co-evolving organizational modes of biop-harmaceutical innovation.

Suggested Citation

  • Marc-Hubert DEPRET & Abdelillah HAMDOUCH, 2011. "Multiscalar Clusters And Networks As The Foundations Of Innovation Dynamics In The Biopharmaceutical Industry," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 33, pages 227-268.
  • Handle: RePEc:tou:journl:v:33:y:2011:p:227-268
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    Cited by:

    1. Abdelilah Hamdouch & Feng He, 2009. "R&D offshoring and clustering dynamics in pharmaceuticals and biotechnology: key features and insights from the Chinese case," Journal of Innovation Economics, De Boeck Université, vol. 0(2), pages 95-117.

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    More about this item

    Keywords

    BIOCLUSTERS; FORMS OF PROXIMITY; INNOVATION NETWORKS; SPATIAL SCALES;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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