Dynamic evolution of policy mix in response to COVID-19: Practice from China

COVID-19 is a global pandemic. In response to this unprecedented crisis, Chinese government formulated a series of policies. This research is dedicated to exploring the dynamic evolution of China’s policy mix in response to COVID-19 in different crisis response stages from a network perspective. First, a three-dimensional analysis framework of “policy subject-policy target-policy instrument” was developed. Then, based on the data sets collected by textual analysis, the dynamic evolution of policy subject, policy target, policy instrument in China’s policy mix in response to COVID-19 was discussed by using the method of SNA. This study concluded that the core policy subject, policy instrument, and policy target of China’s response to COVID-19 changed with time. National Health Commission (NHC), Ministry of Finance (MOF), Ministry of Transport (MOT) and Ministry of Human Resources and Social Security (MHRSS) have important influences in the network of policy subjects. Other subjects are more at the edge of the network, and there are few joint issuances among policy subjects. The study also found that the core policy target was adjusted over time, with phased dynamic characteristics. At the initial stage of China’s response to COVID-19, “reduce infection and mortality” and “steadily carry out economic and social work” were the core policy targets. With the COVID-19 under control, “enterprise development and work resumption” becomes a new core policy target. In addition, this study also revealed the dynamic evolution and unbalanced use of China’s policy instruments in response to COVID-19 in different stages. The combination of policy instruments is mainly composed of “mandatory administration instruments” and “economic incentive instruments”, and supplemented by “health promotion instruments” and “voluntary plan instruments”. These findings may enrich the literature on COVID-19 policy to help researchers understand the dynamics of policy from a network perspective. Moreover, these findings may provide several valuable implications for policymakers and other countries to formulate more effective policies for epidemic response.