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Identifying industry clusters: a critical analysis of the most commonly used methods

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  • Marlen Komorowski

Abstract

This paper analyses the most commonly used methods to identify industry clusters by applying them to Brussels’ media industry data. The results are compared and benefits as well as limitations are highlighted. The resulting implications for industry cluster research and policy-making are subsequently discussed. It is found that a mixed-methods approach (compared with the application of a single method) can reveal important patterns of industry cluster formation, and that future research should make purpose-driven choices on methods based on known limitations and benefits within the research process.

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  • Marlen Komorowski, 2020. "Identifying industry clusters: a critical analysis of the most commonly used methods," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 7(1), pages 92-100, January.
    • Handle: RePEc:taf:rsrsxx:v:7:y:2020:i:1:p:92-100
    DOI: 10.1080/21681376.2020.1733436
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    Cited by:

    1. Arnold Csonka & Štefan Bojnec & Imre Fertő, 2021. "Spatial Transformation of the Pig Sector in Hungary and Slovenia: A Comparative Analysis," Sustainability, MDPI, vol. 13(21), pages 1-15, October.

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