Abstract

Community public safety is facing great challenges in the context of the COVID-19 pandemic. While helping communities identify crises and prevent risks, and improving community public safety governance, collaborative governance is changing the trends of a complex, uncertain, and ever-changing environment, and helping to drive communities toward higher levels of development and improved community sustainability. The purpose of this paper was to design a model of collaborative governance regime (CGR) that better fits the particular context of COVID-19 to enhance community safety and achieve sustainability of collaborative governance. This paper investigated and empirically analyzed the COVID-19 response in Chinese and Korean communities. It is found that collaborative dynamics can positively contribute to collaborative performance; collaborative dynamics can positively contribute to collaborative actions; collaborative actions can positively contribute to collaborative performance; collaborative actions play a partially mediating role between collaborative dynamics and collaborative performance; and there is heterogeneity in collaborative governance regimes in different system contexts. The paper suggests several insights: collaborative governance can deal with uncertainty and unpredictable turbulence; enhancing the capacity for joint action is more conducive to collaborative performance; and the role of government in collaborative governance is valued. Our study provides data support for validating the operating principles and internal logical relationships of collaborative governance and provides an empirical basis for responding to large-scale public crises in different contexts.

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