Methodology for the assessment and classification of regional vulnerability to natural hazards in China: the application of a DEA model
This paper presents a new method for quantifying vulnerability to natural hazards in China. As an important area of vulnerability research, quantitative assessment of vulnerability has raised much focus in academia. Presently, scholars have proposed a variety of methods for quantitative assessment, which usually create an index of overall vulnerability from a suite of indicators, based on the understanding of the cause or mechanism of vulnerability. However, due to the complex nature of vulnerability, this approach caused some arguments on the indicator selection and the weight set for subindices. A data envelopment analysis–based model for the assessment of the regional vulnerability to natural disasters is presented here to improve upon the traditional methods, and a new approach for the classification of vulnerability is proposed. The vulnerability to natural hazards in China’s mainland is illustrated as a case study. The result shows that the overall level of vulnerability to natural hazards in mainland China is high. The geographic pattern shows that vulnerability is highest in western China, followed by diminishing vulnerability in central China, and lowest vulnerability levels in eastern China. There is a negative correlation between the level of vulnerability and the level of regional economic development. Copyright Springer Science+Business Media B.V. 2013
Volume (Year): 65 (2013)
Issue (Month): 1 (January)
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- 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.
- 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.
- Johansson,Per-Olov, 1991. "An Introduction to Modern Welfare Economics," Cambridge Books, Cambridge University Press, number 9780521356954, November.
- Lisa Rygel & David O’sullivan & Brent Yarnal, 2006. "A Method for Constructing a Social Vulnerability Index: An Application to Hurricane Storm Surges in a Developed Country," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(3), pages 741-764, May.
- Gaines H. Liner, 2002. "Core Journals in Economics," Economic Inquiry, Western Economic Association International, vol. 40(1), pages 138-145, January.
- W. Adger & P. Kelly, 1999. "Social Vulnerability to Climate Change and the Architecture of Entitlements," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 4(3), pages 253-266, September.
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