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The Structure and Evolution of Buyer-Supplier Networks

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  • Takayuki Mizuno

    (National Institute of Informatics)

  • Wataru Souma

    (Nihon University)

  • Tsutomu Watanabe

    (The University of Tokyo)

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    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.

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    File URL: http://www.carf.e.u-tokyo.ac.jp/pdf/workingpaper/fseries/F339.pdf
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    Bibliographic Info

    Paper provided by Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo in its series CARF F-Series with number CARF-F-339.

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    Length: 24 pages
    Date of creation: Jan 2014
    Date of revision:
    Handle: RePEc:cfi:fseres:cf339

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    1. Y. Fujiwara & H. Aoyama, 2010. "Large-scale structure of a nation-wide production network," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 77(4), pages 565-580, October.
    2. Daron Acemoglu & Asuman E. Ozdaglar & Alireza Tahbaz-Salehi, 2014. "The Network Origins of Large Economic Downturns," Levine's Working Paper Archive 786969000000000944, David K. Levine.
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    4. Thomas Chaney, 2008. "Distorted Gravity: The Intensive and Extensive Margins of International Trade," American Economic Review, American Economic Association, vol. 98(4), pages 1707-21, September.
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    6. Vasco Carvalho, 2007. "Aggregate fluctuations and the network structure of intersectoral trade," Economics Working Papers 1206, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2010.
    7. Leena Rudanko & Francois Gourio, 2010. "Customer Capital," 2010 Meeting Papers 121, Society for Economic Dynamics.
    8. Saito, Yukiko Umeno & Watanabe, Tsutomu & Iwamura, Mitsuru, 2007. "Do larger firms have more interfirm relationships?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 158-163.
    9. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1 - 38.
    10. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
    11. Bryan Kelly & Hanno Lustig & Stijn Van Nieuwerburgh, 2013. "Firm Volatility in Granular Networks," NBER Working Papers 19466, National Bureau of Economic Research, Inc.
    12. Leena Rudanko & Francois Gourio, 2011. "Customer capital and the business cycle," 2011 Meeting Papers 120, Society for Economic Dynamics.
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