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A Descriptive Analysis of Discrete U.S. Industrial Complexes

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  • Edward Feser
  • Stuart Sweeney
  • Henry Renski

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.

Suggested Citation

  • Edward Feser & Stuart Sweeney & Henry Renski, 2005. "A Descriptive Analysis of Discrete U.S. Industrial Complexes," Journal of Regional Science, Wiley Blackwell, vol. 45(2), pages 395-419, May.
  • Handle: RePEc:bla:jregsc:v:45:y:2005:i:2:p:395-419
    DOI: 10.1111/j.0022-4146.2005.00376.x
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    Cited by:

    1. Robert Johnston & Mahesh Ramachandran, 2014. "Modeling Spatial Patchiness and Hot Spots in Stated Preference Willingness to Pay," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 363-387, November.
    2. Reinhold Kosfeld, 2012. "Identifying Clusters within R&D Intensive Industries Using Local Spatial Methods," ERSA conference papers ersa12p232, European Regional Science Association.
    3. Reinhold Kosfeld & Timo Mitze, 2020. "The role of R&D-intensive clusters for regional competitiveness," MAGKS Papers on Economics 202001, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Reinhold Kosfeld & Mirko Titze, 2014. "Benchmark Value Added Chains and Regional Clusters in German R&D Intensive Industries," ERSA conference papers ersa14p1396, European Regional Science Association.
    5. Titze, Mirko & Brachert, Matthias & Kubis, Alexander, 2010. "The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification," IWH Discussion Papers 14/2010, Halle Institute for Economic Research (IWH).
    6. Francisco Benita & Serhad Sarica & Garvit Bansal, 2020. "Testing the static and dynamic performance of statistical methods for the detection of national industrial clusters," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1137-1157, August.
    7. 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.
    8. Jonah D. White & Elizabeth A. Mack & Sharon L. Harlan & E. Scott Krayenhoff & Matei Georgescu & Kyle Redican, 2019. "Regional Multivariate Indices of Water Use Potential for the Continental United States," Sustainability, MDPI, Open Access Journal, vol. 11(8), pages 1-24, April.
    9. 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.
    10. 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.
    11. Jose Claudio Pires & Tulio Cravo & Simon Lodato & Caio Piza, 2013. "Industrial Clusters and Economic Performance in Brazil," OVE Working Papers 0513, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    12. Kang, Sanggyun, 2020. "Relative logistics sprawl: Measuring changes in the relative distribution from warehouses to logistics businesses and the general population," Journal of Transport Geography, Elsevier, vol. 83(C).
    13. Julia Hoffmann & Stefan Hirsch & Johannes Simons, 2017. "Identification of spatial agglomerations in the German food processing industry," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 139-162, March.
    14. 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.
    15. Thomas Brenner, 2017. "Identification of Clusters - An Actor based Approach," Working Papers on Innovation and Space 2017-02, Philipps University Marburg, Department of Geography.
    16. Juan Carlos Chavez-Martin del Campo & Katia García Loredo, 2015. "Identification of Regional Clusters in Mexican Manufacturing Industry," Working Papers 2015-19, Banco de México.
    17. Mirko Titze & Matthias Brachert & Alexander Kubis, 2014. "Actors and Interactions—Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities," Growth and Change, Wiley Blackwell, vol. 45(2), pages 163-190, June.
    18. 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.
    19. Peter Mayerhofer, 2005. "Structural Preconditions of City Competitiveness. Some Empirical Results for European Cities," WIFO Working Papers 260, WIFO.

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