Cluster Evolution and a Roadmap for Future Research
There is increasing recognition that the existence of clusters can only be understood when studying their dynamics over time (Audretsch and Feldman 1996; Pouder and St. John 1996; Swann et al. 1998; Maggioni 2002; Brenner 2004; Iammarino and McCann 2006; Menzel and Fornahl 2010; Ter Wal and Boschma 2011). In fact, clusters may be best understood as products of a path-dependent process (Martin and Sunley 2006). In that context, scholars have described the main features of cluster development over time, and have explored the driving forces behind their evolution. In their seminal contribution, Menzel and Fornahl (2010) proposed a cluster life cycle model in which firms enter and exit the cluster, capabilities of cluster firms develop and interact (and might converge), and inter-organizational linkages within and beyond the cluster are established and dissolved along the cluster life cycle.
|Date of creation:||Aug 2011|
|Date of revision:||Aug 2011|
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- Max-Peter Menzel & Dirk Fornahl, 2010. "Cluster life cycles--dimensions and rationales of cluster evolution," Industrial and Corporate Change, Oxford University Press, vol. 19(1), pages 205-238, February.
- Jackie Krafft, 2004. "Entry, exit and knowledge: evidence from a cluster in the info-communications," Post-Print hal-00203625, HAL.
- Peter Maskell & Anders Malmberg, 2007. "Myopia, knowledge development and cluster evolution," Journal of Economic Geography, Oxford University Press, vol. 7(5), pages 603-618, September.
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- Ron A. Boschma & Anne L.W. ter Wal, 2006. "Knowledge networks and innovative performance in an industrial district. The case of a footwear district in the South of Italy," Papers in Evolutionary Economic Geography (PEEG) 0601, Utrecht University, Section of Economic Geography, revised Jan 2006.
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