Evaluation of the COVID-19 Relief Policy in China: Based on Content Analysis and PMC Index Model

Lin Xiao ； Rui Wang

《Frontiers in Economics and Management》 3卷5期 (2022/05) Pp. 391-397

https://doi.org/10.6981/FEM.202205_3(5).0051

摘要

By evaluating the COVID-19 relief policy, it can provide an important reference for the government to optimize the emergency decision. Taking 147 central and local epidemic relief policies as text analysis data, this paper uses content analysis method and PMC index model method to mine the main characteristics of policy texts from three dimensions: release subject, policy effectiveness and policy tools. The results show that most of the release subjects of China's COVID-19 relief policies are released separately, which weakens the overall coordination of the policies. The effectiveness index of China's COVID-19 relief policy is generally good at all latitudes, but the index distribution is uneven. The use of various policy tools in China's COVID-19 relief policy is unbalanced. Based on the above policy quantitative evaluation results, this paper puts forward policy optimization measures.

關鍵字

COVID-19 ； Relief Policy ； Content Analysis ； PMC Index Mode

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