Network structural properties for cluster long-run dynamics

Crespo Cepas, Juan, Suire, Raphaël and Vicente, Jérôme (2016) Network structural properties for cluster long-run dynamics: evidence from collaborative R&D networks in the European mobile phone industry. Industrial and Corporate Change, vol. 25 (n° 2). pp. 261-282.

Full text not available from this repository.

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.

Item Type: Article
Sub-title: evidence from collaborative R&D networks in the European mobile phone industry
Language: English
Date: 2016
Refereed: Yes
Subjects: D- SCIENCES POLITIQUES > D4- Relations internationales
Divisions: Laboratoire d'Études et de Recherches sur l'Économie, les Politiques et les Systèmes sociaux (Toulouse)
Site: IEP
Date Deposited: 20 Jun 2016 12:33
Last Modified: 20 Jun 2016 12:33
URI: http://publications.ut-capitole.fr/id/eprint/22144

Actions (login required)

View Item View Item