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.
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References
Adger WN (2000) Social and ecological resilience: are they related? Prog Hum Geogr 24(3):347–364
Andersen P, Petersen NC (1993) A procedure for ranking efficient units in data envelopment analysis. Manage Sci 39(10):1261–1264
Armaş I (2008) Social vulnerability and seismic risk perception. Case study: the historic center of the Bucharest Municipality/Romania. Nat Hazards 47(3):397–410
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6):429–444
Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20:529–539
Cutter SL, Emrich CT (2006) Moral hazard, social catastrophe: the changing face of vulnerability along the hurricane coasts. Ann Am Acad Political Soc Sci 604(1):102–112
Cutter SL, Finch C (2008) Temporal and spatial changes in social vulnerability to natural hazards. Proc Natl Acad Sci 105(7):2301–2306
Cutter SL, Boruff BJ, Shirley WL (2003) Social vulnerability to environmental hazards. Social science quarterly 84(2):242–261
Ford J (2003) Integrated approaches to vulnerability assessment in the climate change literature. In University of Guelph
Fuchs S, Birkmann J, Glade T (2012) Vulnerability assessment in natural hazard and risk analysis: current approaches and future challenges. Nat Hazards 64(3):1969–1975
Garbutt K, Ellul C, Fujiyama T (2015) Mapping social vulnerability to flood hazard in Norfolk, England. Environ Hazards 14:156–186
Grasso M, Moneo M, Arena M (2014) Assessing social vulnerability to climate change in Samoa. Reg Environ Change 14(4):1329–1341
Holand IS, Lujala P, Rød JK (2011) Social vulnerability assessment for Norway: a quantitative approach. Nor Geogr Tidsskr 65(1):1–17
Hou JD, Xiao RB, Huang ZD, Yu TY (2015) Identifying critical success factors of linkage mechanism between government and nonprofit in the geo-disaster emergency decision-making. International Journal of Emergency Management 11(2):146–168
Hu D (2012) The assessment of regional vulnerability to natural disaster in China based on DEA model. In: Dissertation, Southwestern University of Finance and Economics Dissertation, Southwestern University of Finance and Economics Chendu
IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
Moldan B, Dahl AL (2007) Challenges to sustainability indicators. In: Hak T, Moldan B, Dahl AL (eds) Sustainability indicators. A scientific assessment, Island Press, Washington, DC, pp. 1–27
NBSC (National Bureau of Statistics of China) (2014) China statistical yearbook (2004–2013). Chinese Statistics Press, Beijing
Odland J (1988) Spatial autocorrelation. Sage Publications, Beverly Hill
Tang L, Liu YJ (2012) Social vulnerability index system of natural disaster and analysis of spatial pattern. J Justice 14:49–52 (in Chinese)
UNU-EHS Expert Working Group on Measuring Vulnerability. (2006). Measuring vulnerability to natural hazards: towards disaster resilient societies. Birkmann J (ed). United Nations University, New York
Vincent K (2004) Creating an index of social vulnerability to climate change for Africa. Tyndall Center for Climate Change Research. Working Paper 56: 41
Wisner B (1994) At risk: natural hazards, people’s vulnerability and disasters. Routledge, London
Yang S, He S, Du J, Sun X (2015) Screening of social vulnerability to natural hazards in China. Nat Hazards 76:1–18
Yi L, Zhang X, Ge L, Zhao D (2014) Analysis of social vulnerability to hazards in China. Environ Earth Sci 71(7):3109–3117
Yoon DK (2012) Assessment of social vulnerability to natural disasters: a comparative study. Nat Hazards 63:823–843
Yu S, Hou J, Lv J, Ba G (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. Nat Hazards 75(2):219–231
Zeng J, Zhu Z, Zhang J, Ouyang T, Qiu S, Zou Y, Zeng T (2012) Social vulnerability assessment of natural hazards on county-scale using high spatial resolution satellite imagery: a case study in the Luogang district of Guangzhou, South China. Environ Earth Sci 65(1):173–182
Zhang Y, You W (2014) Assessment of social vulnerability to natural disasters of cities based on topsis: a case of Shanghai City. J Catastrophol 29(1):109–114 (in Chinese)
Zhao Q, Xu S, Wang J, Chen Z, Shi Y, Liu Y, Hu B (2009) Assessment of urban system vulnerability degree to flood disaster in Shanghai. China Popul Resour Environ 19:143–147
Zhou L-M (2012) Social vulnerability: a new perspective for the study of sociology of hazards. J Nanjing Normal Univ 4:006 (Social Science Edition)
Zhou Y, Li N, Wu W, Wu J (2014) Assessment of provincial social vulnerability to natural disasters in China. Nat Hazards 71(3):2165–2186
Acknowledgments
This research is supported by Natural Science Foundation of China (71572185, 71573236, 71202050, 71103016), the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (CUGW150402), and the Open Funds of Center for Resource Economic and Environmental Research (H2015005B, H2014005A).
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Hou, J., Lv, J., Chen, X. et al. China’s regional social vulnerability to geological disasters: evaluation and spatial characteristics analysis. Nat Hazards 84 (Suppl 1), 97–111 (2016). https://doi.org/10.1007/s11069-015-1931-3
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DOI: https://doi.org/10.1007/s11069-015-1931-3