Linking Industry and Occupation Clusters in Regional Economic Development

Christine Nolan, Ed Morrison, Indraneel Kumar, Hamilton Galloway and Sam Cordes
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Christine Nolan: Purdue University, West Lafayette, IN, USA, cenolan@purdue.edu
Ed Morrison: Purdue University, West Lafayette, IN, USA
Indraneel Kumar: Purdue University, West Lafayette, IN, USA
Hamilton Galloway: EMSI, Economic Modeling Specialists, Inc, Moscow, ID, USA
Sam Cordes: Purdue University, West Lafayette, IN, USA

Economic Development Quarterly, 2011, vol. 25, issue 1, 26-35

Abstract: Research to date suggests that occupation clusters may be at least as important as industry clusters in driving regional competitive advantage. A nationwide mapping of occupation clusters, with data available for every U.S. county and the capability to aggregate counties to a regional level, serves as a powerful complement to an understanding of industry clusters, the major focus of a previous EDA-funded project conducted by partners in this research team. This paper explains the importance of occupation cluster analysis, how 15 different occupation clusters were developed as part of this study, the results and products from the analysis, and the applications and implications of using occupation cluster analysis at the local and regional levels.

Keywords: cluster analysis; occupation cluster; industry cluster; economic development; cluster mapping; knowledge occupations; Ward’s algorithm; O*NET; location quotient; workforce development; Economic Development Administration (EDA) (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:ecdequ:v:25:y:2011:i:1:p:26-35

DOI: 10.1177/0891242410386781

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