Flood vulnerability and resilience assessment in China based on super-efficiency DEA and SBM-DEA methods

被引:54
|
作者
Yang, Yuying [1 ]
Guo, Haixiang [1 ,2 ,3 ]
Wang, Deyun [1 ]
Ke, Xiaoling [1 ]
Li, Shicheng [4 ]
Huang, Sirui [5 ]
机构
[1] China Univ Geosci, Sch Econ & Management, Wuhan, Peoples R China
[2] Xian Univ Finance & Econ, Sch Management, Xian, Peoples R China
[3] China Univ Geosci, Mineral Resource Strategy & Policy Res Ctr, Wuhan, Peoples R China
[4] China Univ Geosci, Sch Publ Adm, Wuhan, Peoples R China
[5] China Univ Geosci, Sch Math & Phys, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Flood; Vulnerability; Resilience; Super-Efficiency Data Envelopment Analysis; Super-Efficiency Slacks-Based Measure Data; Envelopment Analysis; SLACKS-BASED MEASURE; RISK-ASSESSMENT; COMMUNITY RESILIENCE; DISASTER;
D O I
10.1016/j.jhydrol.2021.126470
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
China suffers frequent and severe floods that result in significant annual casualties and economic losses. However, as flood vulnerability and resilience varies in different regions and periods, it is vital that the temporal and spatial vulnerability and resilience characteristics are known to enable the government to make suitable arrangements for the distribution of relief funds and assist the regions to improve their disaster capabilities. Therefore, to reveal the relative vulnerability and resilience of the research object, this paper developed Chinese provincial scale flood vulnerability and resilience assessment models from an input-output perspective that accounted for socioeconomic, flood damage, flood driving and environmental factors. The Super-Efficiency Data Envelopment Analysis method was applied to the vulnerability assessment research and the Super-Efficiency Slacks-Based Measure Data Envelopment Analysis method was applied to the resilience assessment research. It was found that high vulnerability, high resilience provinces were mainly distributed in the eastern coastal areas, high vulnerability, low resilience provinces were mainly concentrated around the middle reaches of the Yangtze River, low vulnerability, high resilience provinces were mainly distributed in the western region, and low vulnerability, low resilience provinces were mainly in the southwest region. From 2012 to 2018, the relative flood vulnerability was "declining" in 36% of the provinces, even though they had been under pressure from rising GDP and population densities. It was also found that the annual precipitation as the driving factor had a significant impact on provincial flood vulnerabilities. The relative flood resilience from 2012 to 2018 was "risingdeclining" in 39% of the provinces, had "almost no change" in 29%, and was rising in only 11%, which indicated that the relative flood resilience in many Chinese provinces still needs to be improved, with the recovery capacity of the power infrastructure in particular needing to be strengthened. Based on the spatiotemporal relative flood vulnerability and resilience variations in each province, some flood prevention and mitigation suggestions are given.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Bank Performance Evaluation Based on a Modified Super-efficiency DEA Measure
    Chen, Jin-Xiao
    Deng, Mingrong
    PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON PUBLIC ECONOMICS AND MANAGEMENT (ICPEM 2009), VOL 5: STATISTICS AND METHODOLOGY, 2009, : 31 - 35
  • [42] An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method
    Dapeng Huang
    Renhe Zhang
    Zhiguo Huo
    Fei Mao
    Youhao E
    Wei Zheng
    Natural Hazards, 2012, 64 : 1575 - 1586
  • [43] Super-efficiency in DEA by effectiveness of each unit in society
    Noura, A. A.
    Lotfi, F. Hosseinzadeh
    Jahanshahloo, G. R.
    Rashidi, S. Fanati
    APPLIED MATHEMATICS LETTERS, 2011, 24 (05) : 623 - 626
  • [44] A new robust DEA model and super-efficiency measure
    Arabmaldar, Aliasghar
    Jablonsky, Josef
    Saljooghi, Faranak Hosseinzadeh
    OPTIMIZATION, 2017, 66 (05) : 723 - 736
  • [45] An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method
    Huang, Dapeng
    Zhang, Renhe
    Huo, Zhiguo
    Mao, Fei
    Youhao, E.
    Zheng, Wei
    NATURAL HAZARDS, 2012, 64 (02) : 1575 - 1586
  • [46] Energy efficiency assessment in CPTPP countries through the three-stage SBM-DEA model
    Tran, Mai Ngoc
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2025,
  • [47] A Slacks-based Measure of Super-efficiency in DEA with Interval Data
    Xu Xiao-ning
    He Feng
    Zhu Li-yun
    2013 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (ICMSE), 2013, : 314 - 321
  • [48] The performance evaluation of fund family based on the super-efficiency DEA model
    Xie, Chi
    Chen, Xingrong
    INFORMATION SCIENCE AND MANAGEMENT ENGINEERING, VOLS 1-3, 2014, 46 : 295 - 301
  • [49] An additive super-efficiency DEA approach to measuring regional environmental performance in China
    Zhang, Linyan
    INFOR, 2017, 55 (03) : 211 - 226
  • [50] A comment on "Measuring super-efficiency in DEA in the presence of infeasibility"
    Soleimani-damaneh, M
    Jahanshahloo, GR
    Foroughi, AA
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 170 (01) : 323 - 325