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Topic Evolution of Chinese COVID-19 Policies Based on Co-Occurrence Clustering Network Analysis

Author

Listed:
  • Lu Wei

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Na Liu

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Junhua Chen

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Jihong Sun

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

Abstract

This study aims to explore the changes of Chinese coronavirus disease-2019 (COVID-19) policy topics in the eclipse, outbreak, and convalescent stage of COVID-19 based on 4982 textual policies. By using the co-occurrence clustering network method, we find that the strict prevention and control of the epidemic is the only topic of policies in the eclipse stage. In the outbreak stage, strict epidemic prevention and control is still the most important policy topic. The policies of resuming work of “essential” enterprises and stabilizing market prices are important support and guarantee for fighting against COVID-19. In the convalescent stage, as the prevention and control of COVID-19 has become regular, promoting and ensuring the resumption of work in all sectors of society is the most important topic of the policies. Moreover, the success of Wuhan City’s fight against COVID-19 reflects China’s governance characteristics of “concentrating power to do a major event”. Finally, the possible improvements for Chinese COVID-19 policies are discussed, which can provide practical suggestions for government departments on how to effectively respond to public health emergencies.

Suggested Citation

  • Lu Wei & Na Liu & Junhua Chen & Jihong Sun, 2022. "Topic Evolution of Chinese COVID-19 Policies Based on Co-Occurrence Clustering Network Analysis," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2411-:d:753793
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    References listed on IDEAS

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