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Journal of Disaster Research
Article . 2024 . Peer-reviewed
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Performance Evaluation of Geological Disaster Relief Operations in China Using SBM-DEA Methodology

Authors: Pengfei Bai; Fangming Xue; Qianqian Duan; Ruifang La; Jia Liu;

Performance Evaluation of Geological Disaster Relief Operations in China Using SBM-DEA Methodology

Abstract

Geological disasters in China have caused enormous damage to humans and the economy. The Chinese government has made significant efforts to mitigate geological disasters. Usually, the efficiency of disaster emergency response holds top priority. In this study, we considered the historical analysis of China’s geological disaster emergency response as the primary line and developed a slacks-based measure data envelopment analysis model to evaluate the performance of 18 geological disasters reliefs during 2015–2019 in China. This model is used to examine the performance of the geological disaster emergency response activities. The results indicate that although the capabilities of geo-disaster relief have continuously improved from 2015 to 2019, China’s geological disaster emergency response system remains in its primary stage. In particular, the efficiency of landslide emergency response operations is low. We analyzed the factors influencing efficiency and provided several suggestions for capacity improvement in geo-disaster emergency responses.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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