Innovation Networks and Clusters Dynamics

Benoît Desmarchelier () and Linjia Zhang
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Benoît Desmarchelier: Lille 1 University

No 2018-04, RIEI Working Papers from Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration

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.

Keywords: Industrial Clusters; Network Science; Dynamics (search for similar items in EconPapers)
Pages: 23 pages
Date: 2018-04-01
New Economics Papers: this item is included in nep-cse, nep-geo, nep-ino, nep-sbm, nep-tid and nep-ure
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Citations: View citations in EconPapers (5)

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Journal Article: Innovation networks and cluster dynamics (2018)
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