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Evidence on the Within-Industry Agglomeration of R&D, Production, and Administrative Occupations

Author

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  • Benjamin Goldman
  • Thomas H. Klier
  • Thomas Walstrum

Abstract

To date, most empirical studies of industrial agglomeration rely on data where observations are assigned an industry code based on classification systems such as NAICS in North America and NACE in Europe. This study combines industry data with occupation data to show that there are important differences in the spatial patterns of occupation groups within the widely used industry definitions. We focus on workers in manufacturing industries, whose occupations almost always fit into three groups: production, administrative, or R&D. We then employ two approaches to document the spatial distributions of each group within an industry. First, we calculate the distribution of employment shares across local labor markets and second, we calculate a version of the Duranton and Overman (2005) agglomeration index. Both approaches reveal appreciable differences in the spatial distribution of occupation groups within most manufacturing industries. These differences have important implications for our understanding of the sources of industrial agglomeration, the spatial agglomeration of innovation, the effectiveness of local economic development initiatives, and the spatial properties of particular industries.

Suggested Citation

  • Benjamin Goldman & Thomas H. Klier & Thomas Walstrum, 2016. "Evidence on the Within-Industry Agglomeration of R&D, Production, and Administrative Occupations," Working Paper Series WP-2016-20, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhwp:wp-2016-20
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    References listed on IDEAS

    as
    1. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    2. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    3. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    4. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    5. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    6. Neumark, David & Simpson, Helen, 2015. "Place-Based Policies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1197-1287, Elsevier.
    7. repec:zbw:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    8. Timothy J. Bartik, 2012. "The Future of State and Local Economic Development Policy: What Research Is Needed," Growth and Change, Wiley Blackwell, vol. 43(4), pages 545-562, December.
    9. Thomas Klier & Daniel P. McMillen, 2008. "Evolving Agglomeration In The U.S. Auto Supplier Industry," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 245-267, February.
    10. Gilles Duranton & J. V. Henderson & William C. Strange (ed.), 2015. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 5, number 5.
    11. David Neumark & Helen Simpson, 2015. "Do place-based policies matter?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    12. Thomas J. Hannigan & Marcelo Cano-Kollmann & Ram Mudambi, 2015. "Thriving innovation amidst manufacturing decline: the Detroit auto cluster and the resilience of local knowledge production," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(3), pages 613-634.
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    Cited by:

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    3. Xufeng Su & Xiaodong Yang & Jinning Zhang & Jinling Yan & Junfeng Zhao & Jianliang Shen & Qiying Ran, 2021. "Analysis of the Impacts of Economic Growth Targets and Marketization on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 13(8), pages 1-17, April.

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    More about this item

    Keywords

    Agglomeration; automobiles; manufacturing industries; labor markets; occupations;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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