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.
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