Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

A measure for identifying substantial geographic concentrations

van Egeraat, Chris, Morgenroth, Edgar L.W. orcid logoORCID: 0000-0002-9442-0561, Kroes, Rutger, Curran, Declan orcid logoORCID: 0000-0003-0788-1210 and Gleeson, Justin (2016) A measure for identifying substantial geographic concentrations. Papers in Regional Science, 97 (2). pp. 2581-300. ISSN 1056-8190

Abstract
Regional industrial policy emphasizes the notion of building on existing concentrations of competitive firms. A range of measures to identify such concentrations has been put forward in the literature. These measures, however, do not identify substantial concentrations which have the best potential for further development, tend to concentrate on scale measured by employment, and are applied using data for pre-specified administrative boundaries. This paper presents a new concentration index that identifies substantial concentrations and utilizes information on both the number and size of plants. It also proposes a method for generating relevant industry-specific spatial units.
Metadata
Item Type:Article (Published)
Refereed:Yes
Additional Information:Diagrams, Figures and Tables are displayed after references.
Uncontrolled Keywords:Geographical concentration; industrial specialization; agglomeration; methodology; Ireland
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:Wiley
Official URL:http://dx.doi.org/10.1111/pirs.12241
Copyright Information:© 2016 Wiley
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23536
Deposited On:08 Jul 2019 15:04 by Thomas Murtagh . Last Modified 17 Jul 2019 12:59
Documents

Full text available as:

[thumbnail of A MEASURE FOR IDENTIFYING SUBSTANTIAL GEOGRAPHIC CONCENTRATIONS.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record