Share and Export
Share and Export
Van Egeraat, Chris (2018) Identifying Clusters – A Review of Methodological Approaches. State of Art Review, 9.
Preview
No9-SOTA-Identifying-Clusters-C.-Egeraat-final.docx.pdf
Download (192kB) | Preview
Official URL: https://www.enterpriseresearch.ac.uk/
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: | https://mural.maynoothuniversity.ie/id/eprint/10145 |
| 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
Downloads per month over past year
