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

Joan Crespo (1) , Raphaël Suire (2, 3) , Jérôme Vicente (4, 5)

1 URU - Urban and Regional Research Centre Utrecht
2 MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet
3 CREM - Centre de recherche en économie et management
4 LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux
5 IEP Toulouse - Sciences Po Toulouse - Institut d'études politiques de Toulouse

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.

Mots clés: mobile phone industry; cluster

Domaines: Economies et finances; Gestion et management

Joan Crespo, Raphaël Suire, Jérôme Vicente. Network structural properties for cluster long-run dynamics: evidence from collaborative R&D networks in the European mobile phone industry. Industrial and Corporate Change, 2016, 25 (2), pp.261-282. ⟨10.1093/icc/dtv032⟩. ⟨halshs-01238577⟩