Van Egeraat, Chris (2018) Identifying Clusters – A Review of Methodological Approaches. State of Art Review, 9.

Preview

Download (192kB) | Preview

Abstract

Although a seemingly intuitive concept, the identification of clusters involves a number of complexities linked to (1) the cluster definition (the industry boundaries) and (2) the spatial determination of clusters. Over the last 20 years, researchers have proposed a range of methods to address both aspects. The choice of cluster identification method will depend on the policy question, geographical context, type of industries under investigation and, importantly, data availability. A combination of Delgado’s et al. (2016) cluster definition method and Feser’s et al. (2005) method for identifying geographical concentrations would usefully inform many policy contexts.

Item Type:	Article
Keywords:	Identifying Clusters; Review; Methodological Approaches;
Academic Unit:	Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA
Item ID:	10145
Depositing User:	Dr. Chris Van Egeraat
Date Deposited:	23 Oct 2018 15:40
Journal or Publication Title:	State of Art Review
Publisher:	Enterprise Research Centre (ERC)
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads