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Agglomeration near and far, the case of Southern California: supply chains for goods and ideas

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  • Peter Gordon

    (University of Southern California)

  • John Cho

    (Southern California Association of Governments)

Abstract

Prosperity and economic growth require robust specialization and exchange. This means the formation and maintenance of numerous complex supply chains. These are emergent and include supply chains for things and supply chains for ideas. The former involve transactions; the latter can be via transactions and/or realized positive externalities. All supply chains have a geographic dimension which is also emergent. Firms carefully choose what to make vs what to buy and also where to sell or buy it, near or far. The whole system tends to be a pattern of locations that denote realized transactions (and transactions costs) as well as realized externalities. The city remains a competitive producer if these relationships are encouraged with the attendant costs contained. Cities are “engines of growth.” They offer attractive supply chain formation and management opportunities, including the various spatially situated supply chains for things and ideas. The latter are more complex than textbook discussions of non-rival goods suggest. People are keen to identify and acquire useful knowledge. Consider (1) the advantages of open-source knowledge sharing have been acknowledged; (2) ideas often denote complex tacit knowledge exchange, and (3) access to useful knowledge is priced in land markets and impacts location choice. Favorable networking and location opportunities are significant. Flexible land markets facilitate the availability of such opportunities. Access to pools of human capital is clearly beneficial, but the ability to tailor access to the peculiar requirements of the firm is even better. Detailed firm location data for various sectors for the Los Angeles metropolitan areas are analyzed to support our claims. We estimate Ripley k-functions and note differences by industry as well as firm size. There is agglomeration that is near as well as far. This finding complicates “death of distance” as well as “clustering” discussions.

Suggested Citation

  • Peter Gordon & John Cho, 2018. "Agglomeration near and far, the case of Southern California: supply chains for goods and ideas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(3), pages 517-552, November.
    • Handle: RePEc:spr:anresc:v:61:y:2018:i:3:d:10.1007_s00168-018-0881-6
    DOI: 10.1007/s00168-018-0881-6
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    References listed on IDEAS

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    1. Wendell Cox, 2011. "Constraints on Housing Supply: Natural and Regulatory," Econ Journal Watch, Econ Journal Watch, vol. 8(1), pages 13-27, January.
    2. Gaspar, Jess & Glaeser, Edward L., 1998. "Information Technology and the Future of Cities," Journal of Urban Economics, Elsevier, vol. 43(1), pages 136-156, January.
    3. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 23(2), pages 167-185, March.
    4. 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.
    5. Henry O. Pollakowski & Susan M. Wachter, 1990. "The Effects of Land-Use Constraints on Housing Prices," Land Economics, University of Wisconsin Press, vol. 66(3), pages 315-324.
    6. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    7. Pierre Desrochers & Frederic Sautet, 2004. "Cluster-Based Economic Strategy, Facilitation Policy and the Market Process," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 17(2_3), pages 233-245, June.
    8. Sanford Ikeda, 2004. "Urban Interventionism and Local Knowledge," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 17(2_3), pages 247-264, June.
    9. Nebiyou Tilahun & David Levinson, 2009. "Contacts and Meetings: Location, Duration and Distance Traveled," Working Papers 000070, University of Minnesota: Nexus Research Group.
    10. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
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    Cited by:

    1. Peter Gordon & Karima Kourtit, 2020. "Agglomeration and clusters near and far for regional development: A critical assessment," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(3), pages 387-396, June.

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    More about this item

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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