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Assessing the economic impact of tsunami and nuclear power plant disasters in Shizuoka, Japan: a dynamic inter-regional input–output (IRIO) approach

Author

Listed:
  • Hiroyuki Shibusawa

    (Toyohashi University of Technology)

  • Daichi Matsushima

    (Toyohashi University of Technology)

Abstract

Natural disasters cause damage to regional economies. This study investigated how production activities in 35 municipalities of Shizuoka Prefecture recover when such activities stop due to a nuclear power plant disaster and tsunami that may be caused by a Nankai Megathrust Earthquake (NME). We developed a dynamic inter-regional input–output model (IRIO) featuring a production bottleneck due to a shortage of inputs and other goods. Using a simulation model, the economic damage caused by single and combined disasters was evaluated based on several recovery scenarios. The effect of depopulation in Japan on post-disaster recovery processes was also examined. This analysis provides useful disaster preparedness information for local governments and companies.

Suggested Citation

  • Hiroyuki Shibusawa & Daichi Matsushima, 2022. "Assessing the economic impact of tsunami and nuclear power plant disasters in Shizuoka, Japan: a dynamic inter-regional input–output (IRIO) approach," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 307-333, February.
  • Handle: RePEc:spr:apjors:v:6:y:2022:i:1:d:10.1007_s41685-021-00196-6
    DOI: 10.1007/s41685-021-00196-6
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    References listed on IDEAS

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    1. Rehman Akhtar & Joost Santos, 2013. "Risk-based input–output analysis of hurricane impacts on interdependent regional workforce systems," 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. 65(1), pages 391-405, January.
    2. Elco E. Koks & Mark Thissen, 2016. "A Multiregional Impact Assessment Model for disaster analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 429-449, October.
    3. Hirokazu Tatano & Satoshi Tsuchiya, 2008. "A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach," 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. 44(2), pages 253-265, February.
    4. Hiroyuki Shibusawa & Yuzuru Miyata, 2017. "Evaluating production effects of economic activity in zones surrounding the nuclear power station in Shizuoka Prefecture, Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 1(2), pages 291-306, October.
    5. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    6. Howard Kunreuther & Adam Rose (ed.), 2004. "The Economics of Natural Hazards," Books, Edward Elgar Publishing, volume 0, number 2530.
    7. Chenyang Lian & Yacov Y. Haimes, 2006. "Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model," Systems Engineering, John Wiley & Sons, vol. 9(3), pages 241-258, September.
    8. Barker, Kash & Santos, Joost R., 2010. "Measuring the efficacy of inventory with a dynamic input-output model," International Journal of Production Economics, Elsevier, vol. 126(1), pages 130-143, July.
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    Cited by:

    1. Yoshiro Higano & Akihiro Otsuka, 2022. "Special Feature on Regional Sustainability: analysis in a spatial and regional context with broad perspectives on the risk of global warming, natural disasters, and emerging issues due to the globaliz," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 239-245, February.

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    More about this item

    Keywords

    Tsunami; Nuclear power plant; Economic damage; Resilience; Inter-regional input–output analysis (IRIO);
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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