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| Configuration Attribution of Government Responsiveness from Emergency Management Departments during Major Emergencies |
| Su Xinyu1, Zhang Haitao1,2,3, Zhang Xinrui4, Liu Weili1 |
1.School of Business and Management, Jilin University, Changchun 130012
2.Information Resource Research Center, Jilin University, Changchun 130012
3.Institute of National Development and Security Studies, Jilin University, Changchun 130012
4.School of Management, Northeastern University at Qinhuangdao, Qinhuangdao 066004 |
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Abstract The international situation is turbulent, causing countries to face many unforeseen emergencies. To ensure that countries can respond quickly and effectively to crises and protect the lives and property of their citizens, governments urgently need to improve their emergency management capabilities. In view of the current differences in the responsiveness of emergency management departments in different provinces and the incompleteness of single-factor analyses of government functions, the websites of emergency management departments in 31 provincial administrative regions were selected for this study to obtain public data. The fuzzy-set Qualitative Comparative Analysis (fsQCA) was used to conduct a multifactor attribution analysis of government responsiveness. Simulation results were obtained through experimental data and agent modeling technology. The study findings showed that the strong government response of emergency management departments could be divided into three types─“both financial and quantity,” “sourcing-oriented,” and “strategizing”─while the poor government response could be divided into two types─“disaster impact” and “time tight responsibility.” On the basis of the government-public opinion model, when the response time is mainly considered and a deviation between government processing time and public waiting time is observed, the cross-cycle point difference between the two is nearly 44 days, which provides a reference for government emergency management departments to respond effectively to the public.
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Received: 11 September 2023
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