IDEAS home Printed from https://ideas.repec.org/a/eee/juecon/v133y2023ics0094119021000541.html
   My bibliography  Save this article

JUE Insight: Firms and industry agglomeration

Author

Listed:
  • Bartelme, Dominick
  • Ziv, Oren

Abstract

Industry agglomeration can be indicative of agglomeration forces and is correlated with firm outcomes. Because multi-plant firms tend cluster their establishments in space, industry agglomeration could in part be driven by forces internal to the firm rather than across-firm spillovers. We propose and implement a decomposition of the industry agglomeration measures into within and across-firm components using U.S. census microdata. The within-firm component makes a small contribution to observed industry agglomeration for most industries and spatial scales, but accounts for 20% or more of observed agglomeration at short spatial scales for a subset of industries.

Suggested Citation

  • Bartelme, Dominick & Ziv, Oren, 2023. "JUE Insight: Firms and industry agglomeration," Journal of Urban Economics, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:juecon:v:133:y:2023:i:c:s0094119021000541
    DOI: 10.1016/j.jue.2021.103372
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0094119021000541
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jue.2021.103372?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William R. Kerr & Scott Duke Kominers, 2015. "Agglomerative Forces and Cluster Shapes," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 877-899, October.
    2. Behrens, Kristian & Sharunova, Vera, 2015. "Inter- and intra-firm linkages: Evidence from microgeographic location patterns," CEPR Discussion Papers 10921, C.E.P.R. Discussion Papers.
    3. Alfaro, Laura & Chen, Maggie Xiaoyang, 2014. "The global agglomeration of multinational firms," Journal of International Economics, Elsevier, vol. 94(2), pages 263-276.
    4. 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.
    5. Thomas J. Holmes & John J. Stevens, 2002. "Geographic Concentration and Establishment Scale," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 682-690, November.
    6. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
    7. Chang-Tai Hsieh & Esteban Rossi-Hansberg, 2023. "The Industrial Revolution in Services," Journal of Political Economy Macroeconomics, University of Chicago Press, vol. 1(1), pages 3-42.
    8. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    9. Laura Alfaro & Maggie X. Chen & Harald Fadinger, 2019. "Spatial Agglomeration and Superstar Firms: Firm-Level Patterns From Europe and U.S," CRC TR 224 Discussion Paper Series crctr224_2019_122, University of Bonn and University of Mannheim, Germany.
    10. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    11. 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.
    12. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Post-Print halshs-00372646, HAL.
    13. Henderson, J. Vernon, 2003. "Marshall's scale economies," Journal of Urban Economics, Elsevier, vol. 53(1), pages 1-28, January.
    14. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00372646, HAL.
    15. Billings, Stephen B. & Johnson, Erik B., 2016. "Agglomeration within an urban area," Journal of Urban Economics, Elsevier, vol. 91(C), pages 13-25.
    16. Katarzyna Kopczewska & Paweł Churski & Artur Ochojski & Adam Polko, 2019. "SPAG: Index of spatial agglomeration," Papers in Regional Science, Wiley Blackwell, vol. 98(6), pages 2391-2424, December.
    17. Buzard, Kristy & Carlino, Gerald A. & Hunt, Robert M. & Carr, Jake K. & Smith, Tony E., 2017. "The agglomeration of American R&D labs," Journal of Urban Economics, Elsevier, vol. 101(C), pages 14-26.
    18. Eric Marcon & Florence Puech, 2003. "Evaluating the geographic concentration of industries using distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 3(4), pages 409-428, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William R. Kerr & Scott Duke Kominers, 2015. "Agglomerative Forces and Cluster Shapes," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 877-899, October.
    2. Gabriel Lang & Eric Marcon & Florence Puech, 2020. "Distance-based measures of spatial concentration: introducing a relative density function," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 243-265, April.
    3. Di Giacinto, Valter & Pagnini, Marcello, 2011. "Local and global agglomeration patterns: Two econometrics-based indicators," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 266-280, May.
    4. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    5. Kristy Buzard & Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2015. "Localized Knowledge Spillovers: Evidence from the Agglomeration of American R&D Labs and Patent Data," Working Papers 15-3, Federal Reserve Bank of Philadelphia.
    6. Kristy Buzard & Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2017. "The Agglomeration of American Research and Development Labs," Working Papers 17-18, Federal Reserve Bank of Philadelphia.
    7. Buzard, Kristy & Carlino, Gerald A. & Hunt, Robert M. & Carr, Jake K. & Smith, Tony E., 2017. "The agglomeration of American R&D labs," Journal of Urban Economics, Elsevier, vol. 101(C), pages 14-26.
    8. Barlet, M. & Briant, A. & Crusson, L., 2013. "Location patterns of service industries in France: A distance-based approach," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 338-351.
    9. 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.
    10. Hiroyasu Inoue & Kentaro Nakajima & Yukiko Umeno Saito, 2019. "Localization of collaborations in knowledge creation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 119-140, February.
    11. Gerald A. Carlino & Jake Carr & Robert M. Hunt & Tony E. Smith, 2010. "The agglomeration of R&D labs," Working Papers 10-33, Federal Reserve Bank of Philadelphia.
    12. 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.
    13. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "Measuring economic localization: Evidence from Japanese firm-level data," Journal of the Japanese and International Economies, Elsevier, vol. 26(2), pages 201-220.
    14. Valter Di Giacinto & Marcello Pagnini, 2008. "Agglomeration within and between regions: Two econometric based indicators," Temi di discussione (Economic working papers) 674, Bank of Italy, Economic Research and International Relations Area.
    15. Karsten Rusche & Uwe Kies & Andreas Schulte, 2011. "Measuring spatial co-agglomeration patterns by extending ESDA techniques," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 31(1), pages 11-25, June.
    16. repec:hal:spmain:info:hdl:2441/1kv8mtgl748r0ahh12air9erdc is not listed on IDEAS
    17. 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.
    18. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    19. Marta R. Casanova & Vicente Orts & José M. Albert, 2017. "Sectoral scope and colocalisation of Spanish manufacturing industries," Journal of Geographical Systems, Springer, vol. 19(1), pages 65-92, January.
    20. Behrens, Kristian & Bougna, Théophile, 2015. "An anatomy of the geographical concentration of Canadian manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 47-69.
    21. Brad Humphreys & Josh Matti, 2018. "The Spatial Distribution of Urban Consumer Service Firms: Evidence from Yelp Reviews," Working Papers 18-03, Department of Economics, West Virginia University.
    22. Giulio Cainelli & Roberto Ganau & Yuting Jiang, 2020. "Detecting space–time agglomeration processes over the Great Recession using firm-level micro-geographic data," Journal of Geographical Systems, Springer, vol. 22(4), pages 419-445, October.

    More about this item

    Keywords

    Economic geography; Agglomeration; Firm location; Firm growth;
    All these keywords.

    JEL classification:

    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:juecon:v:133:y:2023:i:c:s0094119021000541. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622905 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.