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A Descriptive Analysis of Discrete U.S. Industrial Complexes

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  • Edward Feser
  • Stuart Sweeney
  • Henry Renski
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    Abstract

    We use the Getis/Ord local "G" statistic and detailed county-level industry employment data from the U.S. Bureau of Labor Statistics to isolate discrete industrial complexes-or groups of nominally linked industries clustered in particular locations-for two recent years: 1989 and 1997. We describe the characteristics of the complexes in terms of their number, spatial extent, broad regional distribution, and other factors. Data from the two periods help illustrate key shifts in industrial locations, including the continuing concentration of the apparel industry in the Southeast and the ongoing southern shift in U.S. vehicle production. Copyright Blackwell Publishing Inc. 2005

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    Bibliographic Info

    Article provided by Wiley Blackwell in its journal Journal of Regional Science.

    Volume (Year): 45 (2005)
    Issue (Month): 2 ()
    Pages: 395-419

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    Handle: RePEc:bla:jregsc:v:45:y:2005:i:2:p:395-419

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    Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-4146

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    Cited by:
    1. Mirko Titze & Matthias Brachert & Hans-Ulrich Brautzsch, 2011. "Mapping Local and Regional Potentials for Inter-sectoral Technology Flows in Industrial Clusters – Empirical Results for Germany," ERSA conference papers ersa11p660, European Regional Science Association.
    2. Peter Mayerhofer, 2005. "Structural Preconditions of City Competitiveness. Some Empirical Results for European Cities," WIFO Working Papers 260, WIFO.
    3. Reinhold Kosfeld, 2012. "Identifying Clusters within R&D Intensive Industries Using Local Spatial Methods," ERSA conference papers ersa12p232, European Regional Science Association.
    4. Yena Song & Keumsook Lee & William Anderson & T. Lakshmanan, 2012. "Industrial agglomeration and transport accessibility in metropolitan Seoul," Journal of Geographical Systems, Springer, vol. 14(3), pages 299-318, July.
    5. Michael Carroll & Neil Reid & Bruce Smith, 2008. "Location quotients versus spatial autocorrelation in identifying potential cluster regions," The Annals of Regional Science, Springer, vol. 42(2), pages 449-463, June.
    6. Mirko Titze & Matthias Brachert & Alexander Kubis, 2011. "Local and regional knowledge sources of industrial clusters – methodical aspects in a multidimensional framework for cluster identification," ERSA conference papers ersa10p709, European Regional Science Association.
    7. Cristina Santos & Alexandre Almeida & Aurora A.C. Teixeira, 2008. "Searching for clusters in tourism. A quantitative methodological proposal," FEP Working Papers 293, Universidade do Porto, Faculdade de Economia do Porto.

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