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Research on Evaluation of Meteorological Disaster Governance Capabilities in Mainland China Based on Generalized λ-Shapley Choquet Integral

Author

Listed:
  • Yajun Wang

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

  • Fang Xiao

    (China Meteorological Administration Institute for Development and Program Design, Beijing 100081, China)

  • Lijie Zhang

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

  • Zaiwu Gong

    (School of Management and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
    Business School, Linyi University, Linyi 276000, China)

Abstract

According to the United Nations report, climate disasters have intensified in the past 20 years, and China has the largest number of disasters in the world. So the study of meteorological disaster governance capacities is critically important for China. We designed a meteorological disaster governance capacity evaluation system to calculate the evaluation values by using the generalized λ-Shapley Choquet integral, a method that considers the interaction between indicators. We used various official statistical yearbooks and internal data of China Meteorological Administration (CMA) and weight intervals set by meteorologists for each level of indicators to calculate the evaluation values of meteorological disaster governance capacity in mainland provinces, from 2014 to 2018. We compared them with other methods (entropy weight method, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Analytic Hierarchy Process (AHP)), and the results showed that the results calculated by the designed interaction method provided in this paper are more stable and differentiated. The results show that provincial meteorological disaster governance capacities in Mainland China are characterized by uneven development and a pro-slight polarization phenomenon. This leads to policy recommendations: Provinces should strengthen the construction of meteorological disaster information; provinces with outstanding capacity must strengthen the experience sharing with provinces with lower capacity.

Suggested Citation

  • Yajun Wang & Fang Xiao & Lijie Zhang & Zaiwu Gong, 2021. "Research on Evaluation of Meteorological Disaster Governance Capabilities in Mainland China Based on Generalized λ-Shapley Choquet Integral," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4015-:d:534211
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    References listed on IDEAS

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    1. Labreuche, Christophe & Grabisch, Michel, 2018. "Using multiple reference levels in Multi-Criteria Decision aid: The Generalized-Additive Independence model and the Choquet integral approaches," European Journal of Operational Research, Elsevier, vol. 267(2), pages 598-611.
    2. Chengwei Lu & Jianzhong Zhou & Zhongzheng He & Shuai Yuan, 2018. "Evaluating typical flood risks in Yangtze River Economic Belt: application of a flood risk mapping framework," 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. 94(3), pages 1187-1210, December.
    3. Hai-Min Lyu & Ye-Shuang Xu & Wen-Chieh Cheng & Arul Arulrajah, 2018. "Flooding Hazards across Southern China and Prospective Sustainability Measures," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    4. Xiaobing Yu & Hong Chen & Chenliang Li, 2019. "Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA," IJERPH, MDPI, vol. 16(9), pages 1-10, May.
    5. Grabisch, Michel, 1996. "The application of fuzzy integrals in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 89(3), pages 445-456, March.
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