Abstract
Location externalities and localized knowledge spillovers are the explanation for cluster development predominantly provided by the academic literature to date. Nevertheless, they remain black boxes that hide the complexity of the causal links between (1) the co-location of organizations within clusters and (2) the real reasons why these organizations manage cognitive resources and build knowledge collaborations to this purpose. Linking proximity relationships in dyad formation to the structural properties of knowledge networks allows opening these black boxes and better connecting the microfoundations of clusters to their aggregate performance. The introduction of basic network theory into the literature on the geography of innovation allows for a better understanding of why some clusters succeed while others decline in view of the long-run structuring of their knowledge networks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.