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Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based analysis

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  • Mingze Li
  • Jun Lv
  • Xin Chen
  • Nan Jiang

Abstract

China is a country with frequent natural disasters. In order to prevent the losses caused by disaster, this paper plans to make evaluation on vulnerability to geological disaster in 31 provinces in China based on overcoming the disadvantages of traditional data envelopment analysis evaluation methods. The research selected some relevant indexes in China from 2004 to 2010, including the frequency of geological disasters, GDP, population density, personal injury and property loss so as to analyze vulnerability to geological disaster in each province (municipality), and it found that geological vulnerability in China presented an overall pattern of East China > Central China > West China. In addition, it found from the analysis of the influencing factors of vulnerability that industrial development and scientific and technological advancement could reduce vulnerability to geological disasters significantly, while the growth in per-capita GDP and mean sea level could increase vulnerability to geological disasters to a certain extent. Meanwhile, the research indicated that the investment in the prevention and control of geological disasters in China did not have significant effects on the whole vulnerability to geological disasters. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:79:y:2015:i:3:p:1649-1662
    DOI: 10.1007/s11069-015-1917-1
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    2. Shi-yu Hu & Miao Yu & Ting Que & Gang Fan & Hui-ge Xing, 2022. "Individual willingness to prepare for disasters in a geological hazard risk area: an empirical study based on the protection motivation theory," 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. 110(3), pages 2087-2111, February.
    3. Yang Liu & Jiuchang Wei & Jia Xu & Zhe Ouyang, 2018. "Evaluation of the moderate earthquake resilience of counties in China based on a three-stage 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. 91(2), pages 587-609, March.
    4. Shuai Li & Zhongyun Ni & Yinbing Zhao & Wei Hu & Zhenrui Long & Haiyu Ma & Guoli Zhou & Yuhao Luo & Chuntao Geng, 2022. "Susceptibility Analysis of Geohazards in the Longmen Mountain Region after the Wenchuan Earthquake," IJERPH, MDPI, vol. 19(6), pages 1-30, March.
    5. Yuting Yang & Gang Mei, 2022. "A Deep Learning-Based Approach for a Numerical Investigation of Soil–Water Vertical Infiltration with Physics-Informed Neural Networks," Mathematics, MDPI, vol. 10(16), pages 1-19, August.
    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.

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