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Methodology for the assessment and classification of regional vulnerability to natural hazards in China: the application of a DEA model

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  • Jianyi Huang
  • Yi Liu
  • Li Ma
  • Fei Su

Abstract

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

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  • Jianyi Huang & Yi Liu & Li Ma & Fei Su, 2013. "Methodology for the assessment and classification of regional vulnerability to natural hazards in China: the application of a DEA model," 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. 65(1), pages 115-134, January.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:1:p:115-134
    DOI: 10.1007/s11069-012-0348-5
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    5. Mingze Li & Jun Lv & Xin Chen & Nan Jiang, 2015. "Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based 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. 79(3), pages 1649-1662, December.
    6. Yuxin Gao & Xianrui Yu & Menghao Xi & Qiuhong Zhao, 2023. "Assessment of Vulnerability Caused by Earthquake Disasters Based on DEA: A Case Study of County-Level Units in Chinese Mainland," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    7. Guangxu Liu & Erfu Dai & Xinchuang Xu & Wenxiang Wu & Aicun Xiang, 2018. "Quantitative Assessment of Regional Debris-Flow Risk: A Case Study in Southwest China," Sustainability, MDPI, vol. 10(7), pages 1-21, June.
    8. 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.
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