A stochastic independence approach for measuring regional specialization and concentration
(2018) Papers in Regional Science — Vol. 97, n° 4, p. 1151-1168 (2018)
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- 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.
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Haedo, C., & Mouchart, M. (2018). A stochastic independence approach for measuring regional specialization and concentration. Papers in Regional Science, 97(4), 1151-1168. https://doi.org/10.1111/pirs.12294 (Original work published 2018)