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Increasing Stakeholder Participation in Industry Cluster Identification


  • Lukas C. Brun

    (Duke University, Durham, NC, USA,

  • G. Jason Jolley

    (University of North Carolina at Chapel Hill, Chapel Hill, NC, USA)


Industry cluster analysis has become an important policy tool in state and local economic development planning. Although cluster analysis is generally conceived as an expert-led technical analysis, it can be reframed to engage stakeholders in a collaborative process. This paper illustrates how one community pursued a collaborative approach to cluster identification and the costs and benefits of the method. It finds that increased stakeholder participation in the cluster identification stage improved the analytical quality of the analysis, developed community and political acceptance of the results, and defined a new industry cluster to accommodate stakeholder preferences. The main costs were the time and money required to implement a collaborative approach to cluster identification.

Suggested Citation

  • Lukas C. Brun & G. Jason Jolley, 2011. "Increasing Stakeholder Participation in Industry Cluster Identification," Economic Development Quarterly, , vol. 25(3), pages 211-220, August.
  • Handle: RePEc:sae:ecdequ:v:25:y:2011:i:3:p:211-220

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    Cited by:

    1. Lu, Ren & Ruan, Min & Reve, Torger, 2016. "Cluster and co-located cluster effects: An empirical study of six Chinese city regions," Research Policy, Elsevier, vol. 45(10), pages 1984-1995.


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