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A Note on Localization and Specialization

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  • GORDON F. MULLIGAN
  • CHARLES SCHMIDT

Abstract

Analysts and policy makers frequently measure industrial localization and regional specialization. However, they rarely examine the nation's full array of industries or regions. So local indices, appropriate for specific industries or selected regions, are typically estimated. But in some instances global indices would be preferable in order to assess the wider features of the entire space-economy. This article constructs global indices from the local indices already used in assessing localization and specialization. Global localization and global specialization are shown to be identical when all local indices use the dissimilarity logic. Two-digit standard industry codes manufacturing data, taken from the U.S. during 1958-1995, are used to illustrate the results. The values of these global coefficients, like their local constituents, are shown to vary with geographic scale. The discussion addresses spatial distributions (evenness) but not geographic arrangements (clustering). Copyright 2005 Blackwell Publishing Ltd..

Suggested Citation

  • Gordon F. Mulligan & Charles Schmidt, 2005. "A Note on Localization and Specialization," Growth and Change, Wiley Blackwell, vol. 36(4), pages 565-576.
  • Handle: RePEc:bla:growch:v:36:y:2005:i:4:p:565-576
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    Cited by:

    1. HAEDO, Christian & MOUCHART, Michel, 2012. "A stochastic independence approach for different measures of concentration and specialization," CORE Discussion Papers 2012025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Run Yu & Junning Cai & PingSun Leung, 2009. "The normalized revealed comparative advantage index," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 267-282, March.
    3. Eleonora CUTRINI, 2006. "The Balassa Index Meets the Dissimilarity Theil Index: a Decomposition Methodology for Location Studies," Working Papers 274, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Cutrini, Eleonora, 2009. "Using entropy measures to disentangle regional from national localization patterns," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 243-250, March.
    5. Gómez-Zaldívar, Manuel & Mosqueda, Marco T. & Duran, Jazmin A., 2017. "Localization of manufacturing industries and specialization in Mexican states: 1993–2013," MPRA Paper 76510, University Library of Munich, Germany.
    6. Michael Carroll & Neil Reid & Bruce Smith, 2008. "Location quotients versus spatial autocorrelation in identifying potential cluster regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 449-463, June.
    7. Valerien O. Pede & Raymond J.G.M. Florax & Henri L.F. de Groot, 2011. "Technological Leadership and Sectoral Employment Growth:A Spatial Econometric Analysis for U.S. Counties," Working Papers 11-1, Purdue University, College of Agriculture, Department of Agricultural Economics.

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