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Global Impacts of the Automotive Supply Chain Disruption Following the Japanese Earthquake of 2011

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  • I�aki Arto
  • Valeria Andreoni
  • Jose Manuel Rueda Cantuche

Abstract

This paper provides an input-output method to estimate worldwide economic impacts generated by supply chain disruptions. The method is used to analyse global economic effects due to the disruptions in the automotive industry that followed the Japanese earthquake and the consequent tsunami and nuclear crisis of March 2011. By combining a mixed multi-regional input-output model, the World Input-Output Database and data at the factory level, the study quantifies the economic impacts of the disruptions broken down by country and industry. The results show that the global economic effect (in terms of value added) of this disruption amounted to US$139 billion. The most affected (groups of) countries were Japan (39%), the USA (25%), China (8%) and the European Union (7%). The most strongly affected industries were transport equipment (37%), other business activities (10%), basic and fabricated metals (8%), wholesale trade (7%) and financial intermediation (4%).

Suggested Citation

  • I�aki Arto & Valeria Andreoni & Jose Manuel Rueda Cantuche, 2015. "Global Impacts of the Automotive Supply Chain Disruption Following the Japanese Earthquake of 2011," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 306-323, September.
    • Handle: RePEc:taf:ecsysr:v:27:y:2015:i:3:p:306-323
    DOI: 10.1080/09535314.2015.1034657
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    1. Okuyama, Yasuhide & Sahin, Sebnem, 2009. "Impact estimation of disasters : a global aggregate for 1960 to 2007," Policy Research Working Paper Series 4963, The World Bank.
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    1. Zengming Liu & Yanan Wang & Xiaoyong Huang & Zihan Zhang & Qingsheng Lai & Meng Li, 2024. "Assessment of national economic repercussions from Shanghai’s COVID-19 lockdown," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    2. Krista Danielle S. Yu & Kathleen B. Aviso & Joost R. Santos & Raymond R. Tan, 2020. "The Economic Impact of Lockdowns: A Persistent Inoperability Input-Output Approach," Economies, MDPI, vol. 8(4), pages 1-14, December.
    3. Serdar Kabaca & Kerem Tuzcuoglu, 2023. "Supply Drivers of US Inflation Since the COVID-19 Pandemic," Staff Working Papers 23-19, Bank of Canada.
    4. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Unearthing vulnerability of supply provision in logistics networks to the black swan events: Applications of entropy theory and network analysis," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Muhammad Abdullah Khalid & Yousaf Ali, 2020. "Economic impact assessment of natural disaster with multi-criteria decision making for interdependent infrastructures," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7287-7311, December.
    6. Yoshihiro Hashiguchi & Norihiko Yamano & Colin Webb, 2017. "Economic shocks and changes in global production structures: Methods for measuring economic resilience," OECD Science, Technology and Industry Working Papers 2017/09, OECD Publishing.
    7. Yicheol Han & Stephan J. Goetz & Claudia Schmidt, 2021. "Visualizing Spatial Economic Supply Chains to Enhance Sustainability and Resilience," Sustainability, MDPI, vol. 13(3), pages 1-15, February.
    8. Rui Huang & Arunima Malik & Manfred Lenzen & Yutong Jin & Yafei Wang & Futu Faturay & Zhiyi Zhu, 2022. "Supply-chain impacts of Sichuan earthquake: a case study using disaster input–output analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2227-2248, February.
    9. Yoshihiko Hogen & Yojiro Ito & Kenji Kanai & Naoya Kishi, 2024. "Changes in the Global Economic Landscape and Issues for Japan's Economy," Bank of Japan Working Paper Series 24-E-3, Bank of Japan.
    10. Sebestyén, Tamás & Szabó, Norbert & Braun, Emese & Bedő, Zsolt, 2024. "Lokális reziliencia számítása térbeli általános egyensúlyi modell felhasználásával [Measuring local resilience with a spatial computable general equilibrium model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1222-1253.
    11. Meike Schroeder & Sebastian Lodemann, 2021. "A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management," Logistics, MDPI, vol. 5(3), pages 1-17, September.
    12. Kucukvar, Murat & Cansev, Bunyamin & Egilmez, Gokhan & Onat, Nuri C. & Samadi, Hamidreza, 2016. "Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries," Applied Energy, Elsevier, vol. 184(C), pages 889-904.
    13. Emre Ünal, 2021. "Industrial growth models by input–output analysis and an institutional approach to the automotive industry in China and Turkey," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 175-203, April.
    14. Ortuzar, Iban & Serrano, Ana & Xabadia, Àngels, 2023. "Macroeconomic impacts of water allocation under droughts. Accounting for global supply chains in a multiregional context," Ecological Economics, Elsevier, vol. 211(C).

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