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Lock-in or lock-out ? How structural properties of knowledge networks affect regional resilience

Author

Listed:
  • Joan Crespo

    (LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - UT2J - Université Toulouse - Jean Jaurès - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - Institut d'Études Politiques [IEP] - Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville)

  • Raphaël Suire

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Jérôme Vicente

    (LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - UT2J - Université Toulouse - Jean Jaurès - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - Institut d'Études Politiques [IEP] - Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville)

Abstract

This article develops an evolutionary framework of regional resilience with a primary focus on the structural properties of local knowledge networks. After presenting the network-based rationales of growth and structuring of clusters, we analyze under which structural conditions a regional cluster can achieve short-run competitiveness without compromising long-run resilience capabilities. We show that the properties of degree distribution (the level of hierarchy) and degree correlation (the level of structural homophily) of regional knowledge networks should be studied to understand how clusters succeed in combining technological lock-in with regional lock-out. We propose simple statistical measures of cluster structuring to highlight these properties and discuss the results in a policy-oriented analysis. We conclude showing that policies for regional resilience should focus on ex-ante regional diagnosis and targeted interventions on particular missing links, rather than ex-postmyopic applications of policies based on an unconditional increase of network relational density.

Suggested Citation

  • Joan Crespo & Raphaël Suire & Jérôme Vicente, 2014. "Lock-in or lock-out ? How structural properties of knowledge networks affect regional resilience," Post-Print halshs-00815895, HAL.
    • Handle: RePEc:hal:journl:halshs-00815895
    DOI: 10.1093/jeg/lbt006
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    Keywords

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    JEL classification:

    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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