Network structural properties for cluster long-run dynamics: evidence from collaborative R&D networks in the European mobile phone industry
研究了知识网络的结构属性（层级性和同配性）如何影响集群创新能力随产业生命周期的变化，基于欧洲移动电话产业1988-2008年的数据，对理解集群长期动态有参考价值。
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.