IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/17044.html
   My bibliography  Save this paper

Propagation of Negative Shocks through Firm Networks: Evidence from simulation on comprehensive supply chain data

Author

Listed:
  • INOUE Hiroyasu
  • TODO Yasuyuki

Abstract

This paper examines how negative shocks due to, for example, natural disasters, propagate through supply chains, applying a simulation technique to actual data on supply chains of Japanese firms. We obtained the following five results. (1) Network structures severely affect the speed of propagation in the medium run and total loss in the long run. The scale-free nature of the actual supply chain network, i.e., the power law degree distribution, leads to faster propagation, while dense links between firms within the community in the actual network slow propagation. (2) More intensive damages, i.e., larger damages to fewer firms, result in faster propagation than extensive damages of the same total size. (3) When substitution of undamaged suppliers for damaged suppliers is more difficult to achieve, propagation of negative shocks becomes substantially fast. (4) Direct damages in industrial regions promote faster propagation than those in rural regions. (5) Different sectoral damages cause large differences in the speed of propagation and the long-run loss. All of these results imply that the same size of direct damages by disasters can generate considerably different damages, depending on the structure of the supply chain network in the economy.

Suggested Citation

  • INOUE Hiroyasu & TODO Yasuyuki, 2017. "Propagation of Negative Shocks through Firm Networks: Evidence from simulation on comprehensive supply chain data," Discussion papers 17044, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:17044
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/17e044.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elliott, Robert J.R. & Liu, Yi & Strobl, Eric & Tong, Meng, 2019. "Estimating the direct and indirect impact of typhoons on plant performance: Evidence from Chinese manufacturers," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    2. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-10, September.
    3. Fratzscher, Marcel & Grosse-Steffen, Christoph & Rieth, Malte, 2020. "Inflation targeting as a shock absorber," Journal of International Economics, Elsevier, vol. 123(C).
    4. Rebecca Freeman & Richard Baldwin, 2022. "Risks and Global Supply Chains: What We Know and What We Need to Know," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 153-180, August.
    5. Abhijit Chakraborty & Yuichi Kichikawa & Takashi Iino & Hiroshi Iyetomi & Hiroyasu Inoue & Yoshi Fujiwara & Hideaki Aoyama, 2018. "Hierarchical communities in the walnut structure of the Japanese production network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-25, August.
    6. Goya, Daniel, 2021. "The network effect of Chinese competition on what domestic suppliers produce," Economic Modelling, Elsevier, vol. 102(C).
    7. Takano, Keisuke, 2019. "Does visible shock update firms' unrelated trade diversity in anticipation of future shock? Evidence from the Great East Japan Earthquake and expected Nankai Trough Earthquake," TDB-CAREE Discussion Paper Series E-2019-01, Teikoku Databank Center for Advanced Empirical Research on Enterprise and Economy, Graduate School of Economics, Hitotsubashi University.
    8. KASHIWAGI Yuzuka & TODO Yasuyuki, 2019. "Propagation of Positive Effects of Post-disaster Policies through Supply Chains: Evidence from the Great East Japan Earthquake," Discussion papers 19030, Research Institute of Economy, Trade and Industry (RIETI).
    9. 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).
    10. Inoue, Hiroyasu & Todo, Yasuyuki, 2017. "Firm-level simulation of supply chain disruption triggered by actual and predicted earthquakes," MPRA Paper 82920, University Library of Munich, Germany, revised 22 Feb 2017.
    11. Hiroyasu Inoue, 2017. "Controllability analyses of nation-wide firm networks," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 335-349, December.
    12. Zhang, Si Ying, 2021. "Using equity market reactions and network analysis to infer global supply chain interdependencies in the context of COVID-19," Journal of Economics and Business, Elsevier, vol. 115(C).

    More about this item

    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:eti:dpaper:17044. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.