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Why Do Some Places Succeed When Others Decline? A Social Interaction Model of Cluster Viability

Jérôme Vicente and Raphaël Suire ()
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Raphaël Suire: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique

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Abstract: One of the most convincing explanations papers generally provide concerning clusters in knowledge-based economies refers to the geographically bounded dimension of knowledge spillovers. Here we shall underline that location decision externalities precede local knowledge spillovers in the explanation of cluster aggregate efficiency, which thus requires us to focus on the sequential process of location and the nature of interdependences in location decision-making. To that end, we mean to associate cluster emergence with the formation of locational norms, and to study the critical parameters of their stability. These parameters relate to the type of decision externalities among more or less cognitively distant firms, which influences the weight and the resulting ambivalent role of knowledge spillovers at the aggregate level of clusters. We suggest two theoretical propositions which we test within a simple and general norm location dynamics modeling framework. We then proceed to discuss the results so obtained by comparing them with an emerging related literature based on the life cycle and viability of clusters

Keywords: clusters; location under decision externalities; cognitive distance; knowledge spillovers (search for similar items in EconPapers)
Date: 2009
Note: View the original document on HAL open archive server: https://hal.science/hal-00418539v1
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Citations: View citations in EconPapers (41)

Published in Journal of Economic Geography, 2009, 9 (3), pp.381-404

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Journal Article: Why do some places succeed when others decline? A social interaction model of cluster viability (2009) Downloads
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Working Paper: Why do some places succeed when others decline: a social interaction model of cluster viability (2008)
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