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The economic impact of supply chain disruptions from the Great East-Japan earthquake

Author

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  • Tokui, Joji
  • Kawasaki, Kazuyasu
  • Miyagawa, Tsutomu

Abstract

The Great East-Japan Earthquake of March 11th, 2011 had a serious negative economic impact on the Japanese economy. The earthquake substantially reduced production not only in regions directly hit by the earthquake but also in other parts of Japan through supply chain disruptions. We examine the economic impact of the supply chain disruptions immediately following the earthquake using a unique interregional input-output table combining two different regional IO tables, the JIP database, and other regional statistics. To conduct our analysis, we modify the forward linkage methodology to take into account the bottleneck effect in the intermediate input of manufacturing production. Our estimates show that the production losses caused by the supply chain disruptions would amount to at least 0.35% of the country’s GDP. We also analyzed how establishing multiple supply chains would work to mitigate the damage of potential natural disasters in the future. However, as multiple supply chains may lose production efficiency at the firm level, we would require policies that provide incentives to firms that diversify supply chains.

Suggested Citation

  • Tokui, Joji & Kawasaki, Kazuyasu & Miyagawa, Tsutomu, 2017. "The economic impact of supply chain disruptions from the Great East-Japan earthquake," Japan and the World Economy, Elsevier, vol. 41(C), pages 59-70.
  • Handle: RePEc:eee:japwor:v:41:y:2017:i:c:p:59-70
    DOI: 10.1016/j.japwor.2016.12.005
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    as
    1. Sean Holly & Ivan Petrella, 2012. "Factor Demand Linkages, Technology Shocks, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
    2. 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.
    3. Enghin Atalay, 2017. "How Important Are Sectoral Shocks?," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 254-280, October.
    4. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    5. Julian di Giovanni & Andrei A. Levchenko & Isabelle Mejean, 2014. "Firms, Destinations, and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 82(4), pages 1303-1340, July.
    6. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    7. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    8. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    9. David Rezza Baqaee, 2018. "Cascading Failures in Production Networks," Econometrica, Econometric Society, vol. 86(5), pages 1819-1838, September.
    10. repec:zbw:bofrdp:2015_025 is not listed on IDEAS
    11. Lorenzo Caliendo & Fernando Parro & Esteban Rossi-Hansberg & Pierre-Daniel Sarte, 2018. "The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy," Review of Economic Studies, Oxford University Press, vol. 85(4), pages 2042-2096.
    12. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    13. Robert DEKLE & Eunpyo HONG & Wei XIE, 2016. "The Regional Spillover Effects of the Tohoku Earthquake," Discussion papers 16049, Research Institute of Economy, Trade and Industry (RIETI).
    14. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    15. FUKAO Kyoji & HAMAGATA Sumio & INUI Tomohiko & ITO Keiko & Hyeog Ug KWON & MAKINO Tatsuji & MIYAGAWA Tsutomu & NAKANISHI Yasuo & TOKUI Joji, 2007. "Estimation Procedures and TFP Analysis of the JIP Database 2006 Provisional Version," Discussion papers 07003, Research Institute of Economy, Trade and Industry (RIETI).
    16. repec:zbw:bofrdp:urn:nbn:fi:bof-201512101464 is not listed on IDEAS
    17. Miyagawa, Tsutomu & Ito, Yukiko & Harada, Nobuyuki, 2004. "The IT revolution and productivity growth in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 18(3), pages 362-389, September.
    18. Bartelsman, Eric J & Caballero, Ricardo J & Lyons, Richard K, 1994. "Customer- and Supplier-Driven Externalities," American Economic Review, American Economic Association, vol. 84(4), pages 1075-1084, September.
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    Cited by:

    1. Jun Nagayasu, 2020. "Economic Activities and Regional Correlation During Economic and Natural Disasters," DSSR Discussion Papers 117, Graduate School of Economics and Management, Tohoku University.
    2. Kelei Xue & Ya Xu & Lipan Feng, 2018. "Managing Procurement for a Firm with Two Ordering Opportunities under Supply Disruption Risk," Sustainability, MDPI, vol. 10(9), pages 1-32, September.
    3. INOUE Hiroyasu & OKUMURA Yoshihiro & TORAYASHIKI Tetsuya & TODO Yasuyuki, 2022. "Establishment-level Simulation of Supply Chain Disruption: The case of the Great East Japan Earthquake," Discussion papers 22059, Research Institute of Economy, Trade and Industry (RIETI).
    4. Stefano Costa & Federico Sallusti & Claudio Vicarelli & Davide Zurlo, 2021. "Italian firms in times of troubles: Covid-19 pandemic as a test of structural solidity," LEM Papers Series 2021/47, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju & Wu, Ting-Pin, 2021. "The impact of natural disaster on energy consumption: International evidence," Energy Economics, Elsevier, vol. 97(C).
    6. Dimitrios Dadakas & Stavroula Tatsi, 2021. "Global agricultural trade impact of the 2011 triple disaster in Japan: A gravity approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(4), pages 937-972, October.
    7. Jack Clampit & Dinesh Hasija & Michael Dugan & John Gamble, 2021. "The Effect of Risk, R&D Intensity, Liquidity, and Inventory on Firm Performance during COVID-19: Evidence from US Manufacturing Industry," JRFM, MDPI, vol. 14(10), pages 1-16, October.
    8. Assem Abu Hatab & Carl‐Johan Lagerkvist & Abourehab Esmat, 2021. "Risk perception and determinants in small‐ and medium‐sized agri‐food enterprises amidst the COVID‐19 pandemic: Evidence from Egypt," Agribusiness, John Wiley & Sons, Ltd., vol. 37(1), pages 187-212, January.
    9. Costa, Stefano & Sallusti, Federico & Vicarelli, Claudio & Zurlo, Davide, 2022. "Firms’ solidity before an exogenous shock: Covid-19 pandemic in Italy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 946-961.

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    More about this item

    Keywords

    Earthquake; Forward linkage; Supply chain; Regional IO tables;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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