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

Joan Crespo (), Raphaël Suire () and Jérôme Vicente
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Joan Crespo: URU - Urban and Regional Research Centre Utrecht - Universiteit Utrecht / Utrecht University [Utrecht]
Raphaël Suire: MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - UR - Université de Rennes - UEB - Université européenne de Bretagne - European University of Brittany - UBS - Université de Bretagne Sud - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - UBO - Université de Brest - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris] - UR2 - Université de Rennes 2, 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: 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 to perform along the industry life cycle.

Keywords: mobile phone industry; cluster (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (12)

Published in Industrial and Corporate Change, 2016, 25 (2), pp.261-282. ⟨10.1093/icc/dtv032⟩

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Related works:
Journal Article: Network structural properties for cluster long-run dynamics: evidence from collaborative R&D networks in the European mobile phone industry (2016)
Working Paper: Network structural properties for cluster long run dynamics. Evidence from collaborative R&D networks in the European mobile phone industry (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01238577

DOI: 10.1093/icc/dtv032

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