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Innovation Networks and Clusters Dynamics

Author

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  • Desmarchelier, Benoît

    (Lille 1 University)

  • Zhang, Linjia

    (Division of Economics, Xi'an Jiaotong-Liverpool University)

Abstract

Contributions in terms of clusters life cycle indicate that intense interactions between a variety of agents within the cluster are essential to its success. Despite being accepted by the literature, this view has not yet been confirmed by analyses of large temporal networks of interactions within industrial clusters. This paper proposes to fill this gap by building and studying the innovation networks of three clusters over a 10 years period. We find that clusters’ growth is all but smooth and that low assortativity and preferential attachment among agents can constitute safeguards against clusters decline. Also, we bring evidence that clusters’ innovation networks are resilient to decline. This observation supports contributions advocating for non-deterministic lifecycles in which clusters can still grow, even after a period of pronounced decline.

Suggested Citation

  • Desmarchelier, Benoît & Zhang, Linjia, 2018. "Innovation Networks and Clusters Dynamics," RIEI Working Papers 2018-04, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    • Handle: RePEc:xjt:rieiwp:2018-04
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    References listed on IDEAS

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    Cited by:

    1. Desmarchelier, Benoît & Djellal, Faridah & Gallouj, Faïz, 2020. "Mapping social innovation networks: Knowledge intensive social services as systems builders," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    2. Elena-Madalina Vatamanescu & Wioletta Wereda & Jacek Woźniak, 2020. "Communication And Knowledge Management In Innovative Enterprises – Literature Review Perspective," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 2, pages 41-55.
    3. Walheer, Barnabé & Zhang, Linjia & Luo, Yingchan, 2020. "Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation," Economic Modelling, Elsevier, vol. 86(C), pages 210-226.
    4. König, Michael D. & Rogers, Tim, 2023. "Endogenous technology cycles in dynamic R&D networks," European Economic Review, Elsevier, vol. 158(C).

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    More about this item

    Keywords

    Industrial Clusters; Network Science; Dynamics;
    All these keywords.

    JEL classification:

    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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