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China’s regional social vulnerability to geological disasters: evaluation and spatial characteristics analysis

Author

Listed:
  • Jundong Hou

    (China University of Geosciences
    China University of Geosciences)

  • Jun Lv

    (China University of Geosciences
    China University of Geosciences)

  • Xin Chen

    (China University of Geosciences
    China University of Geosciences)

  • Shiwei Yu

    (China University of Geosciences
    China University of Geosciences)

Abstract

The assessment of social vulnerability is a requirement for understanding the risk of natural hazards. This paper calculates the social vulnerability index of geological disasters in China with the super-efficiency DEA (data envelopment analysis) model, carries out global and local autocorrelation tests for social vulnerability to geological disasters in each province in China and identifies the characteristics of its spatial distribution pattern. The results show the following. (1) China’s social vulnerability to geological disasters is relatively high and has obvious differences. It represents the pattern of a significant increase by degrees in social vulnerability to geological disasters from east to west and a significantly negative correlation relationship between the vulnerability level and the economic level. (2) Based on the comparative analysis of the mean values of the indexes and the social vulnerability index of geological disasters, it is found that the social vulnerability index of geological disasters in China is directly related to the regional exposure degree and reaction and recovery ability, among which the reaction and recovery ability has great effects on the social vulnerability index. (3) Most of the regions in China are in a high–high clustering area or a low–low clustering area; that is to say, the regions with similar social vulnerability to geological disasters represent the pattern of clustering.

Suggested Citation

  • Jundong Hou & Jun Lv & Xin Chen & Shiwei Yu, 2016. "China’s regional social vulnerability to geological disasters: evaluation and spatial characteristics 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. 84(1), pages 97-111, November.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-015-1931-3
    DOI: 10.1007/s11069-015-1931-3
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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. 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.
    3. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu, 2014. "Assessment of provincial social vulnerability to natural disasters in China," 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. 71(3), pages 2165-2186, April.
    4. D. Yoon, 2012. "Assessment of social vulnerability to natural disasters: a comparative study," 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. 63(2), pages 823-843, September.
    5. Sven Fuchs & Jörn Birkmann & Thomas Glade, 2012. "Vulnerability assessment in natural hazard and risk analysis: current approaches and future challenges," 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. 64(3), pages 1969-1975, December.
    6. Saini Yang & Shuai He & Juan Du & Xiaohua Sun, 2015. "Screening of social vulnerability to natural hazards in China," 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. 76(1), pages 1-18, March.
    7. Shiwei Yu & Jindong Hou & Jun Lv & Guizhi Ba, 2015. "Economic benefit assessment of the geo-hazard monitoring and warning engineering system in the Three Gorges Reservoir area: a case study of the landslide in Zigui," 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. 75(2), pages 219-231, February.
    8. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    9. Iuliana Armaş, 2008. "Social vulnerability and seismic risk perception. Case study: the historic center of the Bucharest Municipality/Romania," 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. 47(3), pages 397-410, December.
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    Cited by:

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    2. Shi-yu Hu & Miao Yu & Ting Que & Gang Fan & Hui-ge Xing, 2022. "Individual willingness to prepare for disasters in a geological hazard risk area: an empirical study based on the protection motivation theory," 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. 110(3), pages 2087-2111, February.
    3. Qiyuan Wang & Jundong Hou, 2023. "Hazard assessment of rainstorm-geohazard disaster chain based on multiple scenarios," 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. 118(1), pages 589-610, August.
    4. Wanying Zhong & Yue Wang, 2022. "A study on the spatial and temporal variation of urban integrated vulnerability in Southwest China," 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. 114(3), pages 2855-2882, December.
    5. Jundong Hou & Xinxin Ruan & Jun Lv & Haixiang Guo, 2020. "Two-Stage Super-Efficiency Slacks-Based Model to Assess China’s Ecological Wellbeing," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    6. Yi Ge & Wen Dou & Xiaotao Wang & Yi Chen & Ziyuan Zhang, 2021. "Identifying urban–rural differences in social vulnerability to natural hazards: a case study of China," 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. 108(3), pages 2629-2651, September.
    7. Yi Ge & Wen Dou & Jianping Dai, 2017. "A New Approach to Identify Social Vulnerability to Climate Change in the Yangtze River Delta," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    8. Wenmin Qin & Aiwen Lin & Jian Fang & Lunche Wang & Man Li, 2017. "Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China," 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. 89(1), pages 331-349, October.
    9. Lihui Wu & Da Ma & Jinling Li, 2023. "Assessment of the Regional Vulnerability to Natural Disasters in China Based on DEA Model," Sustainability, MDPI, vol. 15(14), pages 1-12, July.
    10. Hongwei Li & Erqi Xu & Hongqi Zhang, 2021. "High-resolution assessment of urban disaster resilience: a case study of Futian District, Shenzhen, China," 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. 108(1), pages 1001-1024, August.

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