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

  • Joan Crespo
  • Raphaël Suire
  • Jérôme Vicente

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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File URL: http://econ.geo.uu.nl/peeg/peeg1323.pdf
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Paper provided by Utrecht University, Section of Economic Geography in its series Papers in Evolutionary Economic Geography (PEEG) with number 1323.

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Length: 25 pages
Date of creation: Nov 2013
Date of revision: Nov 2013
Handle: RePEc:egu:wpaper:1323
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