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Direct and indirect economic loss assessment of typhoon disasters based on EC and IO joint model

Author

Listed:
  • Guizhi Wang

    (Nanjing University of Information Science and Technology)

  • Rongrong Chen

    (Nanjing University of Information Science and Technology)

  • Jibo Chen

    (Nanjing University of Information Science and Technology)

Abstract

In recent years, the typhoon disasters frequently occur, by which the economic loss caused is paid more and more attention. Combined with the uncertainty of real economy and the structure of detailed departments’ classification, traditional input–output models are extended in this paper. Moreover, static and dynamic models of economy and input–output are, respectively, constructed to evaluate the direct and indirect economic loss caused by typhoon disasters for related industrial departments. It is shown that when referring our proposed static model, the four dominant departments’ loss affected by typhoon in 2013 is 1271.9248 billion Yuan in total, accounting for 75.5303% of the total industrial product loss. In the case of the dynamic model, the longer the time of the sector returns to normal production, the bigger the cumulative economic loss caused by typhoon is.

Suggested Citation

  • Guizhi Wang & Rongrong Chen & Jibo Chen, 2017. "Direct and indirect economic loss assessment of typhoon disasters based on EC and IO joint model," 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. 87(3), pages 1751-1764, July.
    • Handle: RePEc:spr:nathaz:v:87:y:2017:i:3:d:10.1007_s11069-017-2846-y
    DOI: 10.1007/s11069-017-2846-y
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    References listed on IDEAS

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    Cited by:

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    2. Xue Jin & U. Rashid Sumaila & Kedong Yin, 2020. "Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    3. Lianying Yao & Jinchi Shen & Fuying Zhang & Xinbing Gu & Shuli Jiang, 2021. "Influence of Environmental Values on the Typhoon Risk Perceptions of High School Students: A Case Study in Ningbo, China," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    4. Liu, Keling & Chen, Bin & Wang, Saige & Wang, Hao, 2023. "An urban waterlogging footprint accounting based on emergy: A case study of Beijing," Applied Energy, Elsevier, vol. 348(C).
    5. Xiaorong He, 2018. "Typhoon disaster assessment based on Dombi hesitant fuzzy information aggregation operators," 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. 90(3), pages 1153-1175, February.
    6. Burton C. English & S. Aaron Smith & R. Jamey Menard & David W. Hughes & Michael Gunderson, 2021. "Estimated Economic Impacts of the 2019 Midwest Floods," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 431-448, October.
    7. Tengjiao Guo & Guosheng Li, 2020. "Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor 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. 100(2), pages 515-534, January.

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