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

Autor: Marlen Komorowski
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Regional Studies, Regional Science, Vol 7, Iss 1, Pp 92-100 (2020)
Druh dokumentu: article
ISSN: 2168-1376
21681376
DOI: 10.1080/21681376.2020.1733436
Popis: 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.
Databáze: Directory of Open Access Journals
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