A stochastic independence approach for measuring regional specialization and concentration*. (23rd May 2017)

• Record Type: Journal Article
• Authors: Haedo, Christian; Mouchart, Michel
• Is Part Of: Papers in regional science. Volume 97:Number 4(2018)
• Page Start: 1151
• Page End: 1168
• Publication Date: 2017-05-23
• Subjects: Absolute and relative concentration -- absolute and relative specialization -- overall localization -- stochastic independence -- contingency tables; Regional planning -- Periodicals; City planning -- Periodicals; Urbanization -- Periodicals; Economic geography -- Periodicals; 307.12
• DOI: 10.1111/pirs.12294
• Languages: English
• ISSNs: 1056-8190

Abstract

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.