IDEAS home Printed from https://ideas.repec.org/p/fip/fedhwp/wp-06-20.html
   My bibliography  Save this paper

Evolving agglomeration in the U.S. auto supplier industry

Author

Listed:
  • Thomas H. Klier
  • Daniel P. McMillen

Abstract

Using nonparametric descriptive tools developed by Duranton and Overman (2005), we show that both new and old auto supplier plants are highly concentrated in the eastern United States. Conditional logit models imply that much of this concentration can be explained parametrically by distance from Detroit, proximity to assembly plants, and access to the interstate highway system. New plants are more likely to be located in zip codes that are close to existing supplier plants. However, the degree of clustering observed is still greater than implied by the logit estimates.

Suggested Citation

  • Thomas H. Klier & Daniel P. McMillen, 2006. "Evolving agglomeration in the U.S. auto supplier industry," Working Paper Series WP-06-20, Federal Reserve Bank of Chicago.
  • Handle: RePEc:fip:fedhwp:wp-06-20
    as

    Download full text from publisher

    File URL: http://www.chicagofed.org/digital_assets/publications/working_papers/2006/wp2006_20.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gilles Duranton & Henry G. Overman, 2008. "Exploring The Detailed Location Patterns Of U.K. Manufacturing Industries Using Microgeographic Data," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 213-243, February.
    2. Smith Jr. , Donald F. & Florida Richard, 1994. "Agglomeration and Industrial Location: An Econometric Analysis of Japanese-Affiliated Manufacturing Establishments in Automotive-Related Industries," Journal of Urban Economics, Elsevier, vol. 36(1), pages 23-41, July.
    3. 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.
    4. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    5. Thomas H. Klier & Daniel P. McMillen, 2006. "The geographic evolution of the U.S. auto industry (pt. 2)," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 30(Q II), pages 7-13.
    6. 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.
    7. Kurt J. Beron & Wim P. M. Vijverberg, 2004. "Probit in a Spatial Context: A Monte Carlo Analysis," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 8, pages 169-195, Springer.
    8. Thomas H. Klier & Daniel P. McMillen, 2006. "The geographic evolution of the U.S. auto industry (pt. 1)," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 30(Q II), pages 2-6.
    9. Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
    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. Thomas Klier & Daniel McMillen, 2015. "Plant Location Patterns in the European Automobile Supplier Industry," Growth and Change, Wiley Blackwell, vol. 46(4), pages 558-573, December.
    2. Billings, Stephen B. & Johnson, Erik B., 2012. "A non-parametric test for industrial specialization," Journal of Urban Economics, Elsevier, vol. 71(3), pages 312-331.
    3. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.
    4. Kristian Behrens & W. Mark Brown & Théophile Bougna, 2018. "The World Is Not Yet Flat: Transport Costs Matter!," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 712-724, October.
    5. 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.
    6. Edward L. Glaeser & William R. Kerr, 2009. "Local Industrial Conditions and Entrepreneurship: How Much of the Spatial Distribution Can We Explain?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(3), pages 623-663, September.
    7. Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
    8. 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.
    9. Corral, Paul & Radchenko, Natalia, 2017. "What’s So Spatial about Diversification in Nigeria?," World Development, Elsevier, vol. 95(C), pages 231-253.
    10. Laurent Davezies & Xavier D'Haultfoeuille & Denis Fougère, 2009. "Identification of peer effects using group size variation," Econometrics Journal, Royal Economic Society, vol. 12(3), pages 397-413, November.
    11. Oliver Falck & Michael Fritsch & Stephan Heblich, 2014. "Is industry location persistent over time? Evidence from coagglomeration patterns between new and incumbent firms in Germany," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 34(1), pages 1-21, February.
    12. Jaimovich, Esteban, 2019. "Roadways, input sourcing, and patterns of specialization," European Economic Review, Elsevier, vol. 120(C).
    13. Laura Alfaro & Maggie X. Chen, 2016. "Location Fundamentals, Agglomeration Economies, and the Geography of Multinational Firms," Working Papers 2016-18, The George Washington University, Institute for International Economic Policy.
    14. Diego Giuliani & Giuseppe Arbia & Giuseppe Espa, 2014. "Weighting Ripley’s K-Function to Account for the Firm Dimension in the Analysis of Spatial Concentration," International Regional Science Review, , vol. 37(3), pages 251-272, July.
    15. 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.
    16. Tomoya Mori & Tony E. Smith, 2009. "A Reconsideration of the NAS Rule from an Industrial Agglomeration Perspective," KIER Working Papers 669, Kyoto University, Institute of Economic Research.
    17. Alfaro, Laura & Chen, Maggie Xiaoyang, 2014. "The global agglomeration of multinational firms," Journal of International Economics, Elsevier, vol. 94(2), pages 263-276.
    18. Head, Keith & Mayer, Thierry, 2004. "The empirics of agglomeration and trade," 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 59, pages 2609-2669, Elsevier.
    19. Di Porto Edoardo & Revelli Federico, 2009. "Central Command, Local Hazard and the Race to the Top," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200909, University of Turin.
    20. Yi Deng & Gabriel Picone, 2019. "An empirical analysis of entry and location decisions by bars and liquor stores," Empirical Economics, Springer, vol. 57(5), pages 1751-1782, November.

    More about this item

    Keywords

    Automobile supplies industry;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedhwp:wp-06-20. 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: Lauren Wiese (email available below). General contact details of provider: https://edirc.repec.org/data/frbchus.html .

    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.