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Screening of social vulnerability to natural hazards in China

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Abstract

In recent decades, losses resulted from natural disasters have dramatically increased and combined with a significant rise in the intensity and frequency of natural hazards, and in exposure. China is prone to multiple hazards and has experienced huge changes in its social fabric during the past two decades, especially in its population density, development patterns, and other social characteristics. These changes may have exposed the population and society to higher risks than ever before. It is, therefore, important to identify and assess regional social vulnerability to natural hazards to strengthen decision making in disaster risk reduction planning and risk governance. To quantify regional social vulnerability to natural hazards and map its temporal–spatial distribution in China, we carefully selected variables from an extensive compilation of provincial socioeconomic and demographic data. Because of the data issue of high dimension and low sample size, we used a two-level approach to calculate social vulnerability index scores. Dynamic geographic patterns of social vulnerability were captured, and spatial autocorrelations were then calculated. The results indicated a quasi-dualistic structure of social vulnerability in China, with a higher distribution in eastern China compared with that in western China, and a declining trend in spatial clustering in recent years.

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References

  • Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2:433–459

    Article  Google Scholar 

  • Adger WN (1999) Social vulnerability to climate change and extremes in coastal Vietnam. World Dev 27:249–269

    Article  Google Scholar 

  • Adger WN (2006) Vulnerability. Glob Environ Change 16:268–281

    Article  Google Scholar 

  • Alwang J, Siegel PB et al (2001) Vulnerability: a view from different disciplines, vol 115. Social Protection Discussion Paper Series, The World Bank

  • Amaro H et al (2005) Racial/ethnic differences in social vulnerability among women with co‐occurring mental health and substance abuse disorders: implications for treatment services. J Commun Psychol 33:495–511

    Article  Google Scholar 

  • Amigo H, Bustos P (1995) Risk factors of short stature in Chilean school children from rural areas of high social vulnerability. Arch Latinoam Nutr 45:97–102

    Google Scholar 

  • Andrew MK et al (2012) The impact of social vulnerability on the survival of the fittest older adults. Age Ageing 41:161–165

    Article  Google Scholar 

  • Armaş I (2008) Social vulnerability and seismic risk perception. Case study: the historic center of the Bucharest Municipality/Romania. Nat Hazards 47:397–410

    Article  Google Scholar 

  • Ash RF, Edmonds RL (1998) China’s land resources, environment and agricultural production. China Q 156:836–879

    Article  Google Scholar 

  • Bankoff G et al (2004) Mapping vulnerability: disasters, development, and people. Earthscan, UK, pp 10–37

    Google Scholar 

  • Blaikie PC, Cannon TT, Davis I, Wisner B (1994) At risk: natural hazards, people’s vulnerability, and disasters. Disaster and society–from hazard assessment to risk reduction. Routledge, London, pp 75–82

  • Bolin R, Stanford L (1991) Shelter, housing and recovery: a comparison of US disasters. Disasters 15:24–34

    Article  Google Scholar 

  • Brandt L, Rawski TG (2008) China’s great economic transformation. Cambridge University Press, Cambridge, pp 15–23

    Book  Google Scholar 

  • Brooks N (2003) Vulnerability, risk and adaptation: a conceptual framework. Research working paper 38, Tyndall Centre for Climate Change, pp 1–16

  • Burton I (1993) The environment as hazard. Guilford Press, USA, pp 32–240

    Google Scholar 

  • Cangelosi R, Goriely A (2007) Component retention in principal component analysis with application to cDNA microarray data. Biol Direct 2:1–21

    Article  Google Scholar 

  • Carter RL (2008) 2.2 Understanding resilience through ritual and religious practice: an expanded theoretical and ethnographic framework. Resilience and Social Vulnerability, Institute for Environment and Human Security, UN, pp 73–76

    Google Scholar 

  • Clare L, Weninger B (2010) Social and biophysical vulnerability of prehistoric societies to rapid climate change. Doc Praehist XXXVII:269–284

    Google Scholar 

  • Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20:529–539

    Article  Google Scholar 

  • Cutter SL (2003) The vulnerability of science and the science of vulnerability. Ann As Am Geogr 93:1–12

    Article  Google Scholar 

  • Cutter SL, Finch C (2008) Temporal and spatial changes in social vulnerability to natural hazards. Proc Natl Acad Sci 105:2301–2306

    Article  Google Scholar 

  • Cutter SL et al (2003) Social vulnerability to environmental hazards. Soc Sci Q 84:242–261

    Article  Google Scholar 

  • De Risi R et al (2013) Flood risk assessment for informal settlements. Nat Hazards 69:1003–1032

    Article  Google Scholar 

  • Dwyer A et al (2004) Quantifying social vulnerability: a methodology for identifying those at risk to natural hazards. Geoscience Australia, Canberra, pp 2–3

    Google Scholar 

  • Ehrlich PR, Holdren JP (1971) Impact of population growth. Science 171:1212–1217

    Article  Google Scholar 

  • Ellis CJ (2012) A risk-based model of climate change threat: hazard, exposure, and vulnerability in the ecology of lichen epiphytes. Botany 91:1–11

    Article  Google Scholar 

  • Enarson E (2000) Gender issues in natural disasters: talking points and research needs. I.I.F.P.o.C.R.a.R. Workshop. Editor, Geneva

  • Fekete A (2009) Validation of a social vulnerability index in context to river-floods in Germany. Nat Hazards Earth Syst Sci 9:393–403

    Article  Google Scholar 

  • Flanagan BE et al (2011) A social vulnerability index for disaster management. J Homel Secur Emerg Manage 8(1)

  • Griffith DA (1987) Spatial autocorrelation. Association of American Geographers, Washington

    Google Scholar 

  • He B, Wu J, Lü A, Cui X, Zhou L, Liu M, Zhao L (2013) Quantitative assessment and spatial characteristic analysis of agricultural drought risk in China. Nat Hazards 66(2):155–166

    Article  Google Scholar 

  • Holand IS, Lujala P, Rød JK (2011) Social vulnerability assessment for Norway: a quantitative approach [J]. J Geogr 65(1):1–17

    Google Scholar 

  • Khazai B, Merz M, Schulz C, Borst D (2013) An integrated indicator framework for spatial assessment of industrial and social vulnerability to indirect disaster losses. Nat Hazards 67(2):145–167

    Article  Google Scholar 

  • Kirigia JM, Sambo LG, Aldis W, Mwabu GM (2004) The burden of natural and technological disaster-related mortality on gross domestic product (GDP) in the WHO Africa Region. Afr J Health Sci 9(2):169–180

    Google Scholar 

  • Liu X, Lei J (2003) A method for assessing regional debris flow risk: an application in Zhaotong of Yunnan province (SW China). Geomorphology 52:181–191

    Article  Google Scholar 

  • Liu A et al (1999) Economic growth and structural changes in employment and investments in China, 1985–94. Econ Plann 32:171–190

    Article  Google Scholar 

  • Martins VN, e Silva DS, Cabral P (2012) Social vulnerability assessment to seismic risk using multicriteria analysis: the case study of Vila Franca do Campo (São Miguel Island, Azores, Portugal)[J]. Nat Hazards 62(2):385–404

    Article  Google Scholar 

  • Mileti D (1999) Disasters by design: a reassessment of natural hazards in the United States. National Academies Press, USA, pp 17–63

    Google Scholar 

  • Morrow BH (1999) Identifying and mapping community vulnerability. Disasters 23:1–18

    Article  Google Scholar 

  • Nardo M, Saisana M, Saltelli A, Tarantola S, Hoffman A, Giovannini E (2005) Handbook on constructing composite indicators: methodology and user guide (No. 2005/3). OECD Publishing, Paris

  • Ngo EB (2001) When disasters and age collide: reviewing vulnerability of the elderly. Nat Hazards Rev 2:80–89

    Article  Google Scholar 

  • Ord JK, Getis A (2001) Testing for local spatial autocorrelation in the presence of global autocorrelation. J Reg Sci 41(3):411–432

    Article  Google Scholar 

  • O’Reilly G et al (2006) Critical infrastructure analysis of telecom for natural disasters. IEEE on telecommunications network strategy and planning symposium, 2006 NETWORKS 2006 12th international, pp 1–6

  • Peduzzi P et al (2009) Assessing global exposure and vulnerability towards natural hazards: the Disaster Risk Index. Nat Hazards Earth Syst Sci 9:1149–1459

    Article  Google Scholar 

  • Pei F et al (2012) Assessing the impacts of droughts on net primary productivity in China. J Environ Manage 114:362–371

    Article  Google Scholar 

  • Pulido L (2000) Rethinking environmental racism: white privilege and urban development in Southern California. Ann As Am Geogr 90:12–40

    Article  Google Scholar 

  • Restrepo GO, Campis ES (2013) Culture of risk in vulnerable communities: the case of Barranquilla, Colombia, in the context of globalized (in) security. Human Ecol Risk Assess Int J 19:423–442

    Article  Google Scholar 

  • Saxena M (2013) A comparative study of total factor productivity of agriculture sectors in India and China: since 1970s. Dissertation, Int J Res IT Manage

  • Sidle R et al (2004) Interactions of natural hazards and society in Austral-Asia: evidence in past and recent records. Quatern Int 118:181–203

    Article  Google Scholar 

  • Snow RC (2008) Sex, gender, and vulnerability. Glob Public Health 3:58–74

    Article  Google Scholar 

  • Solangaarachchi D et al (2012) Social vulnerability in the context of bushfire risk at the urban-bush interface in Sydney: a case study of the Blue Mountains and Ku-ring-gai local council areas. Nat Hazards 64:1873–1898

    Article  Google Scholar 

  • Tate E (2012) Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis. Nat Hazards 63:325–347

    Article  Google Scholar 

  • Tierney KJ et al (2001) Facing the unexpected: disaster preparedness and response in the United States. Joseph Henry Press, Washington, pp 81–116

    Google Scholar 

  • Timmerman P (1981) Vulnerability resilience and collapse of society. A review of models and possible climatic applications. Institute for Environmental Studies, University of Toronto, Toronto

    Google Scholar 

  • Turner BL et al (2003) A framework for vulnerability analysis in sustainability science. Proc Natl Acad Sci 100:8074–8079

    Article  Google Scholar 

  • Wang Z, He F, Fang W, Liao Y (2013) Assessment of physical vulnerability to agricultural drought in China. Nat Hazards 67:645–657

    Article  Google Scholar 

  • Webb GR et al (2000) Businesses and disasters: empirical patterns and unanswered questions. Nat Hazards Rev 1:83–90

    Article  Google Scholar 

  • Wylie ML (1999) Hurricane Andrew: ethnicity, gender and the sociology of disasters. Am Anthropol 101:685–686

    Article  Google Scholar 

  • Yong C et al (2001) Vulnerability analysis in earthquake loss estimate. Nat Hazards 23:349–364

    Article  Google Scholar 

  • Yue T et al (2003) Numerical simulation of population distribution in China. Popul Environ 25:141–163

    Article  Google Scholar 

  • Zhang B et al (2008) Eco-efficiency analysis of industrial system in China: a data envelopment analysis approach. Ecol Econ 68:306–316

    Article  Google Scholar 

Download references

Acknowledgments

This research has been sponsored by the National Basic Research Program of China (973 Program): “Global change and environmental risk’s evolution process and its integrated assessment model” (2012CB955402) and by the International Cooperation Project (2012DFG20710) funded by the Ministry of Science and Technology of the Government of China.

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Authors and Affiliations

  1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, No. 19, Xinjiekou Outer Street, Haidian District, Beijing, 100875, People’s Republic of China

    Saini Yang, Shuai He, Juan Du & Xiaohua Sun

  2. Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing Normal University, Beijing, People’s Republic of China

    Saini Yang, Shuai He, Juan Du & Xiaohua Sun

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  1. Saini Yang
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  2. Shuai He
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  4. Xiaohua Sun
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Correspondence to Saini Yang.

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Yang, S., He, S., Du, J. et al. Screening of social vulnerability to natural hazards in China. Nat Hazards 76, 1–18 (2015). https://doi.org/10.1007/s11069-014-1225-1

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  • DOI: https://doi.org/10.1007/s11069-014-1225-1

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