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Firm-level simulation of supply chain disruption triggered by actual and predicted earthquakes

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  • Inoue, Hiroyasu
  • Todo, Yasuyuki

Abstract

This paper reports simulations of supply chain disruptions regarding the Great East Japan Earthquake and the predicted Nankai Trough Earthquake. The simulations are based on the actual nationwide supply chains of Japan and on an agent-based model. As a result, we obtain the following findings. (1) Based on simulations of the Great East Japan Earthquake, we calibrate the parameters in the model. The result shows that the simulation reproduces the aftermath of the disaster well, which means the simulation captures the propagations of the damages and the recoveries from them on supply chains. (2) Indirect damages of both earthquakes geographically permeate the entire country in a quite short term. Additionally, the damages to firms show synchronized fluctuations due to the network structure. (3) Simulations of the Nankai Trough Earthquake show that direct damages are 12 times greater than those from the Great East Japan Earthquake, but indirect damages are approximately 4.5 times greater in a year. (4) By estimating indirect damage triggered by a single firm loss, approximately 10% of firms cause more than 10% damage of the entire supply chains.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:82920
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    File URL: https://mpra.ub.uni-muenchen.de/82920/7/MPRA_paper_82920.pdf
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    References listed on IDEAS

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    Cited by:

    1. Yuji Fujita & Yoshi Fujiwara & Wataru Souma, 2019. "Macroscopic features of production network and sequential graph drawing," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 183-199, June.
    2. 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).
    3. Rithika Dulam & Kazuo Furuta & Taro Kanno, 2021. "Consumer Panic Buying: Realizing Its Consequences and Repercussions on the Supply Chain," Sustainability, MDPI, vol. 13(8), pages 1-24, April.

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    More about this item

    Keywords

    supply chain; propagation; disaster; agent; simulation; high performance computing;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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