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. 2022 Aug 17;19(16):10200. doi: 10.3390/ijerph191610200

Table 7.

Research conclusions.

Research
Conclusions
Temporal and spatial evolution of China’s emergency response capacity The average value from 2011 to 2020 is 0.277, with an average annual growth rate of 9.46%
ERPC development is strong, PEPC and MEWC development is relatively lagging
The four regions show a gradient of “high in the east, low in the west, and middle in the central and northeastern regions”
The period 2011–2020 shows an obvious aggregation effect of “high-efficiency aggregation and low-efficiency aggregation”
An unbalanced situation of “high- and medium-level reduction and low-level expansion” in 2020
Analysis of regional differences in China’s emergency response capacity The inter-regional differences show reciprocating fluctuation changes of narrowing-widening- narrowing from 2011 to 2020
Inter-regional differences are the decisive factor influencing the difference in emergency response capacity in China, with a mean value of 53.19%
Spatial correlation analysis of China’s emergency response capability There is a significant spatial dependence in China’s emergency response capability level, and it shows a binary structure in space
The eastern provinces are mainly distributed in the “H-H” quadrant, and the western provinces in the “L-L” quadrant
The interaction of “centripetal effect” and “centrifugal effect” finally formed the spatial clustering results
Analysis on the obstacle degree of China’s emergency response capability The obstacle factor of 24 provinces (cities) such as Tianjin, Hebei, and Shanxi in 2020 is the “business volume of postal and telecommunication services per capita”, which is mainly manifested by the outstanding shortage of emergency communication capacity
The main obstacle factor for Beijing, Shanghai, Zhejiang, Qinghai, and Ningxia in 2020 is the “number of health care institutions”, which mainly shows that local health resources cannot meet the growing demand of residents for health services
The main obstacle factor for Guangdong and Guizhou in 2020 is the unemployment insurance participation rate, which is mainly manifested in the fact that large-scale unemployment and social unrest are easily induced when major emergencies occur