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Network structural properties for cluster long run dynamics. Evidence from collaborative R&D networks in the European mobile phone industry

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  • Joan Crespo

    (LEREPS, University of Toulouse)

  • Raphaël Suire

    (CREM UMR CNRS 6211, University of Rennes 1, France)

  • Jérôme Vicente

    (PACTE-CNRS, Sciences-Po Grenoble)

Abstract

In a recent literature, the structural properties of knowledge networks have been pointed out as a critical factor for cluster structural changes and long run dynamics. Mixing evolutionary economic geography and network-based approach of clusters, this contribution aims at capturing and discussing the particular influence of hierarchy (degree distribution) and assortativity (degree correlation) in the innovative capabilities of clusters along the industry life cycle. We test our propositions in the field of the mobile phone industry in Europe from 1988 to 2008. We use EPO PATSTAT and OECD REGPAT to capture cluster trends, and R&D relations from European Framework Programs to capture knowledge networks and their evolving structural properties. Our findings provide new insights to understand the organization of clusters over time in order to perform along the industry life cycle

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Bibliographic Info

Paper provided by Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS in its series Economics Working Paper Archive (University of Rennes 1 & University of Caen) with number 201336.

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Date of creation: Sep 2013
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Handle: RePEc:tut:cremwp:201336

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Postal: CREM (UMR CNRS 6211) - Faculty of Economics, 7 place Hoche, 35065 Rennes Cedex - France
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