[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/upd/utppwp/018.html
   My bibliography  Save this paper

The Structure and Evolution of Buyer-Supplier Networks

Author

Listed:
  • Takayuki Mizuno

    (National Institute of Informatics, Graduate School of Economics, University of Tokyo, The Canon Institute for Global Studies)

  • Wataru Souma

    (College of Science and Technology, Nihon University)

  • Tsutomu Watanabe

    (Graduate School of Economics, University of Tokyo, The Canon Institute for Global Studies)

Abstract
In this paper, we investigate the structure and evolution of customer-supplier networks in Japan using a unique dataset that contains information on customer and supplier linkages for more than 500,000 incorporated non-financial firms for the five years from 2008 to 2012. We find, first, that the number of customer links is unequal across firms; the customer link distribution has a power-law tail with an exponent of unity (i.e., it follows Zipf’s law). We interpret this as implying that competition among firms to acquire new customers yields winners with a large number of customers, as well as losers with fewer customers. We also show that the shortest path length for any pair of firms is, on average, 4.3 links. Second, we find that link switching is relatively rare. Our estimates indicate that the survival rate per year for customer links is 92 percent and for supplier links 93 percent. Third and finally, we find that firm growth rates tend to be more highly correlated the closer two firms are to each other in a customer-supplier network (i.e., the smaller is the shortest path length for the two firms). This suggests that a non-negligible portion of fluctuations in firm growth stems from the propagation of microeconomic shocks – shocks affecting only a particular firm – through customer-supplier chains.

Suggested Citation

  • Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "The Structure and Evolution of Buyer-Supplier Networks," UTokyo Price Project Working Paper Series 018, University of Tokyo, Graduate School of Economics.
  • Handle: RePEc:upd:utppwp:018
    as

    Download full text from publisher

    File URL: http://www.price.e.u-tokyo.ac.jp/img/researchdata/pdf/p_wp035.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    2. Dotsey, Michael & King, Robert G., 2005. "Implications of state-dependent pricing for dynamic macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 213-242, January.
    3. Hans-Theo Normann & Bradley J. Ruffle & Christopher M. Snyder, 2007. "Do buyer-size discounts depend on the curvature of the surplus function? Experimental tests of bargaining models," RAND Journal of Economics, RAND Corporation, vol. 38(3), pages 747-767, September.
    4. Jordi Galí & Mark J. Gertler, 2010. "International Dimensions of Monetary Policy," NBER Books, National Bureau of Economic Research, Inc, number gert07-1.
    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. Mayumi Ojima & Junnosuke Shino & Kozo Ueda, 2018. "Retailer Market Concentration, Buyer-Size Discounts and Inflation Dynamics," The Japanese Economic Review, Springer, vol. 69(1), pages 101-127, March.
    2. Mayumi Ojima & Junnosuke Shino & Kozo Ueda, 2014. "Buyer-Size Discounts and Inflation Dynamics," Working Papers e071, Tokyo Center for Economic Research.
    3. Daisuke Ikeda, 2020. "Digital Money as a Unit of Account and Monetary Policy in Open Economies," IMES Discussion Paper Series 20-E-15, Institute for Monetary and Economic Studies, Bank of Japan.
    4. Christopher Erceg & Christopher Gust & David López-Salido, 2007. "The Transmission of Domestic Shocks in Open Economies," NBER Chapters, in: International Dimensions of Monetary Policy, pages 89-148, National Bureau of Economic Research, Inc.
    5. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    6. Levin, Andrew T. & López-Salido, José David & Yun, Tack, 2007. "Strategic Complementarities and Optimal Monetary Policy," Kiel Working Papers 1355, Kiel Institute for the World Economy (IfW Kiel).
    7. Eichenbaum, Martin & Fisher, Jonas D.M., 2007. "Estimating the frequency of price re-optimization in Calvo-style models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2032-2047, October.
    8. Shuhei Takahashi, 2017. "State Dependency in Price and Wage Setting," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 151-189, February.
    9. Corsetti, Giancarlo & Dedola, Luca & Leduc, Sylvain, 2010. "Optimal Monetary Policy in Open Economies," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 16, pages 861-933, Elsevier.
    10. Jean-Guillaume Sahuc & Stéphane Moyen, 2008. "Le modèle d'équilibre général de la « Nouvelle synthèse » : quelles hypothèses retenir ?," Économie et Prévision, Programme National Persée, vol. 183(2), pages 15-34.
    11. Kurozumi, Takushi & Van Zandweghe, Willem, 2022. "Macroeconomic changes with declining trend inflation: Complementarity with the superstar firm hypothesis," European Economic Review, Elsevier, vol. 141(C).
    12. Ricardo Nunes & Jinill Kim & Jesper Linde & Davide Debortoli, 2014. "Designing a Simple Loss Function for the Fed: Does the Dual Mandate Make Sense?," 2014 Meeting Papers 1043, Society for Economic Dynamics.
    13. Davide Debortoli & Jinill Kim & Jesper Lindé & Ricardo Nunes, 2019. "Designing a Simple Loss Function for Central Banks: Does a Dual Mandate Make Sense?," The Economic Journal, Royal Economic Society, vol. 129(621), pages 2010-2038.
    14. Cwik, Tobias & Müller, Gernot J. & Wolters, Maik H., 2011. "Does trade integration alter monetary policy transmission?," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 545-564, April.
    15. José Dorich & Michael K. Johnston & Rhys R. Mendes & Stephen Murchison & Yang Zhang, 2013. "ToTEM II: An Updated Version of the Bank of Canada’s Quarterly Projection Model," Technical Reports 100, Bank of Canada.
    16. Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2022. "Resolving the missing deflation puzzle," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 15-34.
    17. Yasuo Hirose & Takushi Kurozumi & Wille Van Zandweghe, 2023. "Inflation Gap Persistence, Indeterminacy, and Monetary Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 867-887, December.
    18. Oleksiy Kryvtsov & Virgiliu Midrigan, 2013. "Inventories, Markups, and Real Rigidities in Menu Cost Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 249-276.
    19. Charles Engel, 2011. "Currency Misalignments and Optimal Monetary Policy: A Reexamination," American Economic Review, American Economic Association, vol. 101(6), pages 2796-2822, October.
    20. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.

    More about this item

    Keywords

    buyer-supplier networks; supply chains; input-output analysis; power-law distributions; firm dynamics;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    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:upd:utppwp:018. 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: Yayoi Hatano (email available below). General contact details of provider: https://edirc.repec.org/data/fetokjp.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.