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

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.
Complete list of metadatas

https://halshs.archives-ouvertes.fr/halshs-01238577
Contributor : Anne L'Azou <>
Submitted on : Saturday, December 5, 2015 - 6:56:43 PM
Last modification on : Tuesday, August 13, 2019 - 10:16:02 AM

Links full text

Identifiers

Citation

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, Oxford University Press (OUP), 2016, 25 (2), pp.261-282. ⟨10.1093/icc/dtv032⟩. ⟨halshs-01238577⟩

Share

Metrics

Record views

492