Journal
RESEARCH POLICY
Volume 48, Issue 3, Pages 830-842Publisher
ELSEVIER
DOI: 10.1016/j.respol.2019.01.001
Keywords
Cluster policy; Networks; Collaborative incentives; Groups behaviors; Behavioral additionality; Aerospace Valley
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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 foster knowledge collaborations. We draw evidence from the French Aerospace Valley cluster from 2006 to 2015. The case study is based on a dataset of 248 granted research consortia, from which we build 4-cohort knowledge networks that 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 structural properties of the cluster selected by the Program and the policy makers' objectives. Finally, the methodology allows us to identify the agents of the structural and technological changes observed throughout the period.
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