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Localization of Interfirm Transaction Relationships and Industry Agglomeration

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  • NAKAJIMA Kentaro
  • SAITO Yukiko Umeno
  • UESUGI Iichiro

Abstract

Using a unique dataset of more than 140,000 manufacturing firms in Japan containing information on their suppliers and customers, this paper looks at the physical distances between transaction partners to examine the localization of transaction relationships. We find the following. First, based on a counterfactual that controls for the location of firms and their potential partners, transaction relationships in about 90%-95% of the 150 three-digit manufacturing industries can be labeled as localized at distances of 40km or less. This indicates that physical distance is a key factor in firms' choice of transaction partners. Second, based on a counterfactual that controls for the average distance of transaction relationships in the manufacturing sector as a whole, we find that about 40% of industries transaction relationships are localized at short distances not exceeding 40km. Third, the extents of industrial localization and localization of transaction relationships are positively correlated. However, there are a number of exceptions, for which we provide potential explanations.

Suggested Citation

  • NAKAJIMA Kentaro & SAITO Yukiko Umeno & UESUGI Iichiro, 2012. "Localization of Interfirm Transaction Relationships and Industry Agglomeration," Discussion papers 12023, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:12023
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    References listed on IDEAS

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    1. NAKAJIMA Kentaro & SAITO Yukiko & UESUGI Iichiro, 2013. "Role of Inter-firm Transactions on Industrial Agglomeration: Evidence from Japanese firm-level data," Discussion papers 13021, Research Institute of Economy, Trade and Industry (RIETI).
    2. Pierre-Philippe Combes & Thierry Mayer & Jacques-François Thisse, 2008. "Economic Geography: The Integration of Regions and Nations," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00311000, HAL.
    3. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2014. "Localized Knowledge Spillovers and Patent Citations: A Distance-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 967-985, December.
    4. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
    5. 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.
    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. 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.
    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.
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    Citations

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    Cited by:

    1. SAITO Yukiko, 2013. "Role of Hub Firms in Geographical Transaction Network," Discussion papers 13080, Research Institute of Economy, Trade and Industry (RIETI).
    2. MORI Tomoya & SAKAGUCHI Shosei, 2018. "Collaborative Knowledge Creation: Evidence from Japanese patent data," Discussion papers 18068, Research Institute of Economy, Trade and Industry (RIETI).
    3. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, Oxford University Press, vol. 136(2), pages 1255-1321.
    4. Petr MATOUS & TODO Yasuyuki, 2014. "The Effects of Endogenous Interdependencies on Trade Network Formation across Space among Major Japanese Firms," Discussion papers 14020, Research Institute of Economy, Trade and Industry (RIETI).
    5. INOUE Hiroyasu & NAKAJIMA Kentaro & SAITO Yukiko, 2014. "Localization of Knowledge-creating Establishments," Discussion papers 14053, Research Institute of Economy, Trade and Industry (RIETI).
    6. Ono, Arito & Saito, Yukiko & Sakai, Koji & Uesugi, Iichiro, 2016. "Does Geographical Proximity Matter in Small Business Lending? Evidence from Changes in Main Bank Relationships," HIT-REFINED Working Paper Series 40, Institute of Economic Research, Hitotsubashi University.
    7. Hazama, Makoto & Uesugi, Iichiro, 2017. "Measuring the systemic risk in interfirm transaction networks," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 259-281.
    8. Hazem KRICHENE & ARATA Yoshiyuki & Abhijit CHAKRABORTY & FUJIWARA Yoshi & INOUE Hiroyasu, 2018. "How Firms Choose their Partners in the Japanese Supplier-Customer Network? An application of the exponential random graph model," Discussion papers 18011, Research Institute of Economy, Trade and Industry (RIETI).
    9. Todo, Yasuyuki & Matous, Petr & Inoue, Hiroyasu, 2016. "The strength of long ties and the weakness of strong ties: Knowledge diffusion through supply chain networks," Research Policy, Elsevier, vol. 45(9), pages 1890-1906.

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    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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