Aim To improve the level of hospital workers' safety performance in response to emergencies (e.g. COVID‐19), this paper examines the relationship between hospital workers' job control on safety performance, and the mediating role of hospital safety climate and the moderating role of social support. Design In this cross‐sectional questionnaire survey, a convenience sampling of hospital workers from three hospitals that have COVID‐19 cases from Beijing and Shandong Province in China. Methods These questionnaires were used to obtain self‐reported data on hospital workers' job control, hospital safety climate, social support and safety performance. Mplus software was used to calculate CFA. SPSS25.0 software was used to calculate mean values, standard deviations, correlations and regression analyses. Results The participants were 241 hospital workers from three hospitals in China (male = 55.2%, female = 44.8%; age range <30 to >45; physician = 58%, nurse = 22%, other hospital worker = 20%). A moderated mediation model among job control, hospital safety climate, social support and safety performance was supported. Moderated mediation analysis indicates hospital workers' job control effectively improves the level of safety performance; hospital safety climate plays a partially mediating role in the process of job control affecting hospital workers' safety performance; social support moderates the effect of work control on medical workers' safety climate. Hence, it is important to increase job control and hospital safety climate. Further, social support for hospital workers should be encouraged, advocated and supported.

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This study seeks cost-effective strategies for PM2.5 reduction to generate insights into minimizing pollution abatement costs subject to different scenarios. This study theorizes that the cooperation of PM2.5 abatement has potential gains for participants and develop an empirical way to compare the costs and efficiency of PM2.5 abatement involving the variation of environmental conditions. This study revises the cooperative game model in the context of threshold effects using data obtained from the Beijing-Tianjin-Hebei metropolitan cluster in China. In general, the results support the key assertion that cooperation in the metropolitan cluster plays a vital role in optimizing the efficiency and costs of PM2.5 abatement. In addition to extending the application of the revised model, this study provides a way to estimate the costs and the mitigation benefits of meeting the pollution targets for each coparticipant and take the scenario of multiparty cooperation into account as well as the scenarios involving other types of pollutants. The empirical findings have important policy implications for regional shared governance, decentralization, and resource reallocation. Economic incentive-based shared governance and cost reallocation work better than traditional regulations.