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Conceptualizing cluster evolution: beyond the life cycle model?

Conceptualizing cluster evolution: beyond the life cycle model?
Conceptualizing cluster evolution: beyond the life cycle model?
Although the literature on the evolution of industrial clusters is not vast, a preferred approach has already become evident based around the idea of a cluster ‘life cycle’. This approach has several limitations. This paper explores a different conception of cluster evolution, drawing on the ‘adaptive cycle’ model that has been developed in evolutionary ecology. Using this model, cluster evolution is viewed as an adaptive process with different possible outcomes based on episodic interactions of nested systems. Though not without limitations, this approach offers greater scope as a framework for shaping the research agenda into the evolution of clusters.
clusters, evolution, life cycle model, complex systems, adaptive cycle model
0034-3404
1299-1318
Martin, Ron
09d95774-40e0-4ec5-8510-b06968f58ec2
Sunley, Peter
a3efb579-965f-4f39-812e-9e07caf15afd
Martin, Ron
09d95774-40e0-4ec5-8510-b06968f58ec2
Sunley, Peter
a3efb579-965f-4f39-812e-9e07caf15afd

Martin, Ron and Sunley, Peter (2011) Conceptualizing cluster evolution: beyond the life cycle model? [in special issue: Cluster Life Cycles] Regional Studies, 45 (10), 1299-1318. (doi:10.1080/00343404.2011.622263).

Record type: Article

Abstract

Although the literature on the evolution of industrial clusters is not vast, a preferred approach has already become evident based around the idea of a cluster ‘life cycle’. This approach has several limitations. This paper explores a different conception of cluster evolution, drawing on the ‘adaptive cycle’ model that has been developed in evolutionary ecology. Using this model, cluster evolution is viewed as an adaptive process with different possible outcomes based on episodic interactions of nested systems. Though not without limitations, this approach offers greater scope as a framework for shaping the research agenda into the evolution of clusters.

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More information

e-pub ahead of print date: 24 November 2011
Published date: November 2011
Keywords: clusters, evolution, life cycle model, complex systems, adaptive cycle model
Organisations: Geography & Environment

Identifiers

Local EPrints ID: 206487
URI: https://eprints.soton.ac.uk/id/eprint/206487
ISSN: 0034-3404
PURE UUID: 57329192-88ad-4cc9-9807-d0b837be6d31

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Date deposited: 01 May 2013 10:54
Last modified: 18 Jul 2017 10:51

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Contributors

Author: Ron Martin
Author: Peter Sunley

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