Abstract
During the COVID-19 pandemic, China has achieved high recovery efficiency. One of the most important reasons behind this is the effective policies of promoting work resumption. Why can such policies maintain steady performance despite the high level of environmental uncertainties? This question can be answered from the perspective of policy resilience. This study employed a policy evaluation model for analyzing quantitative data of 342 policies of promoting work resumption. We evaluate the policies through the Policy Modeling Consistency (PMC-index) model and text mining methods. The results show that: first, the contents and elements of all policies have consistent characteristics, including the combination of multiple policy tools, the combination of support for work resumption and pandemic control, the incentives to support effective policy implementation, and the reasonable match between macro and micro policies as well as short-term and long-term policies. Second, among the nine policies that are randomly selected from the sample, one is rated excellent and the other eight are good, indicating that China’s policies of promoting work resumption have good resilience.
Highlights
Why could China overcome the COVID-19 pandemic peak and achieve rapid economic and social recovery? In recent decades, the losses caused by global crisis events have escalated (Abdulkareem, Elkadi and Breane, 2018, p. 176; Saja et al, 2018, pp. 862–863), and various new risks have emerged one after another
After analyzing the deeper reasons, we found that the Chinese government has designed and issued a series of policies to promote work resumption after the COVID-19 pandemic outbreak, so as to guide enterprises to effectively realize the resumption of work and production, and help enterprises overcome difficulties from the aspects of taxation, epidemic prevention, law, employment and so on
According to the COVID-19 pandemic cumulative number of confirmed cases, the disaster area is divided into five grades, and a policy is randomly selected in each grade of area
Summary
Why could China overcome the COVID-19 pandemic peak and achieve rapid economic and social recovery? In recent decades, the losses caused by global crisis events have escalated (Abdulkareem, Elkadi and Breane, 2018, p. 176; Saja et al, 2018, pp. 862–863), and various new risks have emerged one after another. In order to solve the limitations of the previous studies, from the perspective of policy resilience, this study analyzes China’s policies of promoting work resumption by comprehensively using PMC-index model and text mining tools The difference between this model and the previous policy evaluation model is that it is based on the hypothesis of omnia mobilis as the guiding ideology, the main purpose of this model is that everything in the world is moving and connected. Guided by these two characteristics, this study applies PMC-index model to analyze policy, which is a new attempt in the field of policy resilience research; (3) Before the implementation of the policy, we can comprehensively analyze its content and characteristics through text mining and quantitative evaluation of the policy text It can enhance the objective fairness of the evaluation results and put forward scientific and comprehensive policy optimization paths to provide useful enlightenment for improving policy resilience
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