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A stochastic independence approach for measuring regional specialization and concentration.
- Source :
-
Papers in Regional Science . Nov2018, Vol. 97 Issue 4, p1151-1168. 18p. 2 Charts. - Publication Year :
- 2018
-
Abstract
- This paper proposes an integrated framework for discussing issues related to regional concentration, sectorial specialization and overall localization by considering these concepts as a row‐column association– or non‐independence– in a two‐way contingency table 'regions × sectors'. This is the approach of stochastic independence, in which the degree of concentration, or of specialization, is measured by discrepancies among distributions: between profiles and a uniform distribution for absolute concepts; between profiles and the corresponding marginal distribution for relative concepts; or between the joint distribution and the product of the marginal distributions for overall localization. This paper discusses the benefits of this integrating approach, particularly for the practitioner facing a multifaceted literature. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10568190
- Volume :
- 97
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Papers in Regional Science
- Publication Type :
- Academic Journal
- Accession number :
- 132895560
- Full Text :
- https://doi.org/10.1111/pirs.12294