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Flood Disaster Risk Assessment Based on DEA Model in Southeast Asia along “The Belt and Road”

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  • Xuming Wang

    (School of Management and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Xianrui Yu

    (School of Management and Engineering, Beihang University, Beijing 100191, China)

  • Xiaobing Yu

    (School of Management and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

The “Belt and Road” initiative proposed by China has received much attention from the international community. Natural disasters along the route have posed considerable challenges to the “Belt and Road” economic construction. Southeast Asia, as the main thoroughfare of the Maritime Silk Road, always suffers from floods. It is necessary to evaluate flood risk to enhance disaster emergency management. Based on the Data Envelopment Analysis (DEA) model, inputs consist of four factors: the number of deaths, victims, frequency of occurrence, and economic losses caused by meteorological disasters. To study the vulnerability to flood disasters in Southeast Asian countries, the four factors caused by flood disasters were taken as outputs, respectively. The relative efficiency values of Laos, Malaysia and Cambodia exceed 0.8. They are most vulnerable to floods. The following four countries, Thailand, Myanmar, Indonesia, and the Philippines, are also vulnerable to flood disasters. The vulnerability of Vietnam is relatively lower than the others. In brief, the risk of flood disasters in Southeast Asia is high. Risk assessment for Southeast Asia is essential to ensure the implementation of the “Belt and Road” initiative.

Suggested Citation

  • Xuming Wang & Xianrui Yu & Xiaobing Yu, 2022. "Flood Disaster Risk Assessment Based on DEA Model in Southeast Asia along “The Belt and Road”," Sustainability, MDPI, vol. 14(20), pages 1-10, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13145-:d:941348
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, March.
    2. Thomas Sexton & Herbert Lewis, 2003. "Two-Stage DEA: An Application to Major League Baseball," Journal of Productivity Analysis, Springer, vol. 19(2), pages 227-249, April.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    5. Ruiling Sun & Zaiwu Gong & Weiwei Guo & Ashfaq Ahmad Shah & Jie Wu & Haiying Xu, 2022. "Flood disaster risk assessment of and countermeasures toward Yangtze River Delta by considering index interaction," 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. 112(1), pages 475-500, May.
    6. Menghua Deng & Zhiqi Li & Feifei Tao, 2022. "Rainstorm Disaster Risk Assessment and Influence Factors Analysis in the Yangtze River Delta, China," IJERPH, MDPI, vol. 19(15), pages 1-16, August.
    7. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    8. Camanho, A. S. & Dyson, R. G., 2005. "Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments," European Journal of Operational Research, Elsevier, vol. 161(2), pages 432-446, March.
    9. Hyun Kim & David Marcouiller, 2015. "Considering disaster vulnerability and resiliency: the case of hurricane effects on tourism-based economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 945-971, May.
    10. Arocena, Pablo, 2008. "Cost and quality gains from diversification and vertical integration in the electricity industry: A DEA approach," Energy Economics, Elsevier, vol. 30(1), pages 39-58, January.
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    Cited by:

    1. Han Sun & Zhiyun Zha & Chao Huang & Xiaohui Yang, 2025. "Flood disaster industry-linked economic impact and risk assessment: a case study of Yangtze River Economic Zone," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 15703-15726, July.
    2. Jian Liu & Kangjie Wang & Shan Lv & Xiangtao Fan & Haixia He, 2023. "Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    3. Zhou, Fangjian & Zhou, Hao & Guo, Hua & Lei, Yinchun & Tang, Chengling & Li, Xue, 2024. "Determinants of natural disaster emergency public investment cycles in central and southern Chinese regions: The role of technological innovation efficiency," Technological Forecasting and Social Change, Elsevier, vol. 209(C).

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