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Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor analysis

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  • Tengjiao Guo

    (Institute of Geographic Sciences and Natural Resources Research, CAS
    University of Chinese Academy of Sciences)

  • Guosheng Li

    (Institute of Geographic Sciences and Natural Resources Research, CAS)

Abstract

By establishing an objective and effective indicator system, we can accurately estimate the economic losses inflicted by typhoon storm surge. With Guangdong selected as the area for our case study, we used confirmatory factor analysis to identify and select three types of risk factors generating economic losses from such disasters: hazard, vulnerability, and disaster resilience. Moreover, by dividing the study area into three time periods in based on economic development conditions, we analyzed the indicator changes in various risk factors within them. Studies have shown that impact indicators from various risk factors at different time periods have not changed significantly, while their degree of relevance has varied with each risk factor. Compared with the traditionally established indicator systems, the basic indicators based on historical cases in this paper are more factual, and the application of confirmatory factor analysis in the selection of indicators has eliminated the interference of subjective factors, rendering the results more rational and scientific.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:100:y:2020:i:2:d:10.1007_s11069-019-03823-w
    DOI: 10.1007/s11069-019-03823-w
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    2. Kai Yin & Sudong Xu & Xinghua Zhu & Wenrui Huang & Shuo Liu, 2021. "Estimation of spatial extreme sea levels in Xiamen seas by the quadrature JPM-OS method," 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. 106(1), pages 327-348, March.

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