Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Komorowski, Marlen 2020. Identifying industry clusters: a critical analysis of the most commonly used methods. Regional Studies, Regional Science 7 (1) , pp. 92-100. 10.1080/21681376.2020.1733436

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Journalism, Media and Culture
Publisher: Taylor & Francis Group
ISSN: 2168-1376
Date of First Compliant Deposit: 12 October 2020
Date of Acceptance: 12 February 2020
Last Modified: 12 Oct 2020 13:47
URI: http://orca-mwe.cf.ac.uk/id/eprint/135498

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics