Résumé
The paper focuses on cluster policies with particular attention to the role of R&D collaborative incentives in the structuring of knowledge networks in clusters. We disentangle the main network failures in regional innovation systems, and discuss the selection procedures designed by policy makers to enhance the production of innovation outputs. We draw evidence from the French Aerospace Valley cluster from 2006 to 2015. The empirical analysis relies on a dataset of 248 granted research consortia, from which we build 4-cohorts knowledge networks enable us evidencing the evolving structural properties of the cluster over time. We suggest avoiding the bias and limitations of 1 and 2-mode network analysis by developing an original place-based network methodology that emphasizes on structural equivalence and groups behaviors. We discuss the results focusing on the convergence degree between the network statistical findings and the policy makers’ objectives. Finally, the methodology allows us identifying who are the agents of the structural and technological changes observed during the period.
Keywords : Cluster policy, Networks, Collaborative incentives, Groups behaviors, Aerospace Valley
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