Analysis on Relief Efficiency and Influencing Factors of Large-scale Geological Disasters

DOI

10.2991/assehr.k.211020.291How to use a DOI?

Keywords

Large-scale geological disasters, Rescue efficiency, Influencing factors, DEA-SBM, Tobit

Abstract

The sudden complexity and destruction of major geological disasters determine the necessity of improving disaster relief efficiency. However, due to the relative lack of geological disaster relief data, the research on the relief efficiency evaluation of major geological disasters is insufficient. Based on the data of 18 rescue operations of major geological disasters in China from 2015 to 2019, this paper measure the disaster relief efficiency and analyze the influencing factors by using the super-efficiency SBM model and Tobit regression model with non-expected output. The research suggests several results: the average efficiency of rescue operations for 18 major geological disasters was 0.671, and that of disasters below the average efficiency was 67%; The average efficiency of several geological disaster relief operations in 2019 was 0.73, which explaining that after the establishment of the ministry of emergency management, the efficiency of geological disaster relief in China has been improved obviously; However, the long rescue period, redundant rescue personnel and unreasonable allocation of rescue equipment are the reasons why the rescue efficiency is relatively low for heavy and severe geological disasters. The research also found that the number of disaster victims and people trapped, the per capita GDP, the total population of the county, the county area and the highway density have a significant positive relationship with the rescue efficiency, whereas the disaster time, population density and highway mileage are negatively correlated with the rescue efficiency. In view of the above problems, policy suggestions are put forward to further improve the relief efficiency of China’s major geological disasters.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - La Ruifang
AU  - Zhang Zaixu
AU  - Bai Pengfei
PY  - 2021
DA  - 2021/10/21
TI  - Analysis on Relief Efficiency and Influencing Factors of Large-scale Geological Disasters
BT  - Proceedings of the 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021)
PB  - Atlantis Press
SP  - 971
EP  - 976
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211020.291
DO  - 10.2991/assehr.k.211020.291
ID  - Ruifang2021
ER  -