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Impact assessment using DEA of coastal hazards on social-economy in Southeast Asia

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Abstract

Southeast Asian countries suffer from severe coastal hazards each year. A large number of these countries are incurring consequential costs that impact their national economies. It is crucial, therefore, to analyze the impact of such hazards on their economic development and provide a solid basis for future development strategies. The purpose of this paper is to assess the relationship between the economic development and the losses from coastal disasters, and to identify both the impact of hazards on the development, as well as the function of such development on the resilience to hazards. The data envelopment analysis (DEA) method is employed to build the assessment models. Data from 1995 to 2005 from eight Southeast countries are analyzed using the DEA models. A set of “resilience index” of these countries are concluded from the results. It is found that the economic development does not contribute to the strengthening of national resilience to coastal hazards. Inappropriate development could even impair the resilience. Additionally, the resilience to coastal hazards is impacted by various factors such as the allocation of resources and external assistance. From the analysis, a clear image is gained of the interaction between economic development and coastal hazards, which provides a basis for future development strategies.

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Notes

  1. According to the definitions from EM-DAT and UNISDR, the coastal hazard includes: typhoon, tsunamis, tidal waves, storms, wave surges, and floods aroused by these hazards.

  2. According to the term definitions of EM-DAT, total affected people include those people that have been injured, affected, and left homeless after a disaster. The affected people are those requiring immediate assistance during a period of emergency, i.e., requiring basic survival needs such as food, water, shelter, sanitation, and immediate medical assistance. Persons confirmed as dead and persons missing and presumed dead are both counted as deaths. Estimated damage is the economic impact of a disaster usually consists of direct (e.g., damage to infrastructure, crops, and housing) and indirect (e.g., loss of revenues, unemployment, and market destabilization) consequences on the local economy.

  3. According to the characteristics of economic development and impact from coastal hazards, it is reasonable to assume that the indicators of selected countries share the same characteristics. It is accordant with the requirement to DMUs of DEA method.

  4. The method adapted to complete the factor analysis is main component analysis. Because the component analysis allows no missing data, in the pre-processing the missing data are substituted by data from a previous year. Also, to ensure that the data are independent, and to make the number of indicators as small as possible, the varimax rotation is used in the factor analysis.

References

  • ADB (2002) Indonesia country economic review. Country economic review, from http://www.adb.org/Documents/CERs/INO/2002/default.asp

  • Adger WN (1999) Social vulnerability to climate change and extremes in coastal Vietnam. World Dev 27(2):249–269

    Article  Google Scholar 

  • Adger WN, Hughes TP et al (2005) Social-ecological resilience to coastal disasters. Science 309(5737):1036–1039

    Article  Google Scholar 

  • Alcira K, Margaret A (2003) Building safer cities—the future of disaster risk. World Bank, New York

    Google Scholar 

  • Anbalagan R, Singh B (1996) Landslide hazard and risk assessment mapping of mountainous terrains—a case study from Kumaun Himalaya, India. Eng Geol 43(4):237–246

    Article  Google Scholar 

  • Anderies JM, Janssen MA et al (2004) A framework to analyze the robustness of social-ecological systems from an institutional perspective. Ecol Soc 9(1):18

    Google Scholar 

  • Arya AS, Mandal GS et al (2006) Some aspects of tsunami impact and recovery in India. Disaster Prev Manag 15(1):51–66

    Article  Google Scholar 

  • Ashley C, Carney D (1999) Sustainable livelihoods: lessons from early experience. Department for International Development, London

    Google Scholar 

  • Banker RD, Charnes A et al (1984) Some models for the estimation of technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092

    Google Scholar 

  • Bankoff G, Frerks G (2003) Mapping vulnerability: disasters, development and people. Earthscan Publishers, London

    Google Scholar 

  • Blaikie P, Cannon T et al (1994) At risk: natural hazards, people’s vulnerability and disasters. Routledge, London

    Google Scholar 

  • Calgaro E (2005) Paradise in tatters: an analysis of the vulnerability of the tourism community of Khao Lak, Thailand to the 2004 Indian Ocean Tsunami. Stockholm Environment Institute Working Report. Stockholm, Stockholm Environment Institute, 89 pp

  • Cannon T, Twigg J et al (2003) Social vulnerability, sustainable livelihoods and disasters. Report to DFID Confilict and Humanitarian Assistance Department (CHAD) and Sustainable Livelihoods Support Office, 93 pp

  • Carney D (2002) Sustainable livelihoods approaches: progress and possibilities for change. Department for International Development, London, 64 pp

  • Charnes A, Cooper W et al (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444

    Article  Google Scholar 

  • Charnes A, Cooper WW et al (1985) Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. J Econom 30:91–107

    Article  Google Scholar 

  • Charnes A, Cooper WW et al (1989) Cone ratio data envelopment analysis and multi-objective programming. Int J Syst Sci 20:1099–1118

    Article  Google Scholar 

  • Chen G, Zhu C (2003) The social impacts from natural disasters: the relationship between historical peasants war and natural disasters. Disaster Res (Chinese) 18(4):29–37

    Google Scholar 

  • Chittibabu P, Dube SK et al (2004) Mitigation of flooding and cyclone hazard in Orissa, India. Nat Hazards 31:455–485

    Article  Google Scholar 

  • Coates L (1999) Flood fatalities in Australia, 1788–1996. Aust Geogr 30(3):391–408

    Article  Google Scholar 

  • Comfort L, Wisner B et al (1999) Reframing disaster policy: the global evolution of vulnerable communities. Environ Hazards 1:39–44

    Article  Google Scholar 

  • Crighton EJ (2003) Impacts of an environmental disaster on psychosocial health and well-being in Karakalpakstan. Soc Sci Med 56:551–567

    Article  Google Scholar 

  • Cutter SL (1995) The forgotten casualties: women, children, and environmental change. Global Environ Change 5(3):181–194

    Article  Google Scholar 

  • Cutter SL, Boruff BJ et al (2003) Social vulnerability to environmental hazards. Soc Sci Q 84(2):241–261

    Article  Google Scholar 

  • Einstein HH (1988) Special lecture: landslide risk assessment procedure. Proceedings of the Fifth International Symposium on Landslides, Lausann, Switzerland

  • Ermolieva T (2003) Induced discounting and its implications to catastrophic risk management. Interim report IR-03-029, IIASA

  • Ermoliev Y, Ermolieva T et al (2000) Catastrophic risk management and economic growth. Interim Report, IIASA, IR-00-058. Laxenburg, IIASA, 47 pp

  • Few R (2002) Researching actor power: analyzing mechanisms of interaction in negotiations over space. Area 34:29–38

    Article  Google Scholar 

  • Foster HD (1976) Assessing disaster magnitude: a social science approach. Prof Geogr 28(3):141–149

    Article  Google Scholar 

  • Geiss D (2000) By design: the disaster resistant and quality-of-life community. Nat Hazards Rev 1(3):151–160

    Article  Google Scholar 

  • Grant R, Nijman J (2002) Globalization and the corporate geography of cities in the less-developed world. Ann Assoc Am Geogr 92(2):320–340

    Article  Google Scholar 

  • Haque CE (2003) Perspectives of natural disasters in East and South Asia, and the pacific island states: socio-economic correlates and need assessment. Nat Hazards 29:465–483

    Article  Google Scholar 

  • Holling CS, Meffe GK (1996) Command and control and the pathology of natural resource management. Conserv Biol 10(2):328–377

    Article  Google Scholar 

  • Keipi K, Tyson J (2002) Planning and financial protection to survive disasters. Sustainable Development Department Technical Papers Series. Washington, D.C., Inter-American Development Bank, 35 pp

  • Klein RJT, Nicholls RJ (1999) Assessment of coastal vulnerability to sea-level rise. Ambio 28:182–187

    Google Scholar 

  • Liu J, Zhang X et al (2004) Spatial distribution of Chinese flood disasters. Trans Heihai Univ (Science version) (Chinese) 32(6):614–618

    Google Scholar 

  • Maramai A, Tinti S (1997) The 3 June 1994 Java tsunami: a post-event survey of the coastal effects. Nat Hazards 15:31–49

    Article  Google Scholar 

  • Marston SA, Smith N (2001) States, scales and households: limits to scale thinking? A response to Brenner. Prog Hum Geogr 25(4):615–619

    Article  Google Scholar 

  • Ninno Cd, Lundberg M (2005) Treading water: the long-term impact of the 1998 flood on nutrition in Bangladesh. Econ Hum Biol 3:67–96

    Article  Google Scholar 

  • Simonsson L (2005) Vulnerability profile of Mali. Poverty and Vulnerability Programme. Stockholm, Stockholm Environment Institute, 31 pp

  • Smit B, Burton I et al (1999) The science of adaptation: a framework for assessment. Mitig Adapt Strat Glob Change 4(3–4):199–213

    Article  Google Scholar 

  • Sorrensen CL (2002) Frontier spaces of vulnerability: regional change, urbanization, drought and fire hazard in Santarem, Para, Brazil. Urban Ecosyst 6(1–2):123–144

    Article  Google Scholar 

  • Soussan J, Blaikie P et al (2000) Understanding livelihood processes and dynamics. Livelihood-policy relationships in South Asia working paper 1, DFID, SEI, 29 pp

  • Taylor PJ (1994) The state as container: territoriality in the modern world-system. Prog Hum Geogr 18:151–162

    Article  Google Scholar 

  • Torres-Vera MA, Canas JA (2003) A lifeline vulnerability study in Barcelona, Spain. Reliab Eng Syst Saf 80(2):205–210

    Article  Google Scholar 

  • Turner BL, Kasperson RE et al (2003) A framework for vulnerability analysis in sustainability science. www.pnas.org/cgi/doi/10.1073/pnas.1231335100

  • UNDP (2004) Reducing disaster risk: a challenge for development. New York, United Nations Development Programme, Bureau for Crisis Prevention and Recovery, 57 pp

  • Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. UNESCO, Paris

    Google Scholar 

  • Vazquez C, Cervellon P et al (2001) Positive emotions in earthquake survivors in El Salvador (2001). Anxiety Disord 19:313–328

    Article  Google Scholar 

  • Wei Y-M, Fan Y et al (2004) The assessment of vulnerability to natural disasters in China by using the DEA method. Environ Impact Assess Rev 24:427–439

    Article  Google Scholar 

  • Weichselgartner J, Bertens J (2000) Natural disasters: acts of God, nature or society? On the social relation to natural hazards. WIT Press, Southampton

    Google Scholar 

  • Wu W (2002) Methods and applications of data enveloping analysis. Statistic Publishing House, Beijing

    Google Scholar 

  • Xu W, Wang J-A et al (2004) Assessment on the risks of earthquakes in Chinese urban areas. J Nat Disasters (Chinese) 13(1):46–57

    Google Scholar 

  • Yamin F, Rahman A et al (2005) Vulnerability, adaptation and climate disasters: a conceptual overview. IDS Bulletin, Institute of Development Studies 36:14

  • Yodmani S (2001) Disaster risk management and vulnerability reduction: protecting the poor. Asia and Pacific Forum on Poverty, Asian Development Bank

  • Zou L, Thomalla F et al (forthcoming) Synthesis on the driving factors to vulnerability coastal hazards in Southeast Asia. Stockholm, Stockholm Environment Institute

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Acknowledgements

Financial support from the National Natural Science Foundation of China (NSFC) under the grant Nos. 70425001 and 70733005, and the National Key Projects from the Ministry of Science and Technology of China (grants 2006-BAB08B01), is gratefully acknowledged. We also would like to thank Professor T. S. Murty and the anonymous referees for their helpful suggestions and corrections on the earlier draft of our paper according to which we improved the content.

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Correspondence to Yi-Ming Wei.

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Zou, LL., Wei, YM. Impact assessment using DEA of coastal hazards on social-economy in Southeast Asia. Nat Hazards 48, 167–189 (2009). https://doi.org/10.1007/s11069-008-9256-0

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