Background: Scant attention has been paid to how risk perceptions of public health crises may affect people’s mental health. Aims: The aims of this study are to (1) construct a conceptual framework for risk perception and depression of people in public health crises, (2) examine how the mental health of people in the crisis of Coronavirus Disease 2019 (COVID-19) is affected by risk perception and its associated factors, including distance perception of the crisis and support of prevention and control policies, and (3) propose policy recommendations on how to deal with psychological problems in the current COVID-19 crisis. Methods: Online questionnaire survey was implemented. A total of 6373 people visited the questionnaire online, 1115 people completed the questionnaire, and the number of valid questionnaires was 1081. Structural equation modeling was employed for data analysis. Results: Risk perception and its associated factors significantly affect the mental health of people in public health crises. Specifically, (1) distance perception of public health crises is negatively associated with depression among people, (2) affective risk perception is positively associated with depression of people in public health crises, (3) cognitive risk perception is negatively associated with depression of people in public health crises, and (4) support of prevention and control policies is negatively associated with depression of people in public health crises. Conclusion: The findings of this study suggest that risk perception plays an important role in affecting the mental health of people in a public health crisis. Therefore, health policies aiming to improve the psychological wellbeing of the people in a public health crisis should take risk perception into consideration.

The welfare system can be a crucial factor in the urban settlement of rural migrants, but its effects are difficult to determine because to do so one must distinguish the effect of welfare entitlement from the effect of ‘migrant selectivity bias’, which widely exists in cities in developing countries. Using survey data from 15 Chinese cities, this study examines the ways in which social insurance – the most critical social welfare package in China – affects rural migrants’ urban-settlement intentions. The results show that there is a ‘migrant selectivity bias’ in Chinese cities, that is, rural migrants who are better off socio-economically are more inclined to participate in social insurance and are more inclined to pursue permanent urban settlement. Meanwhile, social insurance participation is significantly and positively related to rural migrants’ urban-settlement intentions, and this positive relation remains even after we discount the effect of ‘migrant selectivity bias’ in the analysis. We argue that, for rural migrants in China, the effect of social insurance participation on urban settlement intentions closely resembles that experienced by those who move to migration-managed regimes. We conclude that the Chinese government should establish a more inclusive social welfare system to enable rural migrants to permanently settle in cities.

It is common knowledge that bullying victimization and coping strategies significantly affect the psychological well-being of children. However, which coping strategies are more effective at a particular level of bullying victimization is underexplored. Using survey data from 1,634 children from 10 schools in Wuhan, China, this study aims to investigate the abovementioned research gap. The results of factor analysis suggest that coping strategies of children in China can be divided into three types: help-seeking, avoidance, and self-defense. The results of multilevel modeling suggest that children adopting different coping strategies have distinct levels of depression. Help seekers show a significantly lower level of depression than self-defenders and avoiders. However, with increased bullying victimization, the effectiveness of the help-seeking strategy gradually decreases to offset the negative effect of bullying victimization on psychological well-being. Instead, those who adopt the self-defense strategy display a lower level of depression. The findings of this study suggest that there is no single coping strategy that is best for children, and the more effective strategy largely relies on the level of bullying victimization. The findings also imply that without external support, it is almost impossible for children to completely overcome the negative consequences of bullying on their own.

Drawing on the logic of Simon’s decision-making theory, this study compares the effects of AI versus humans on discretion, client meaningfulness, and willingness-to-implement, and examines the moderating role of different types of decisions on those relationships. The findings show that AI usage has a negative effect on perceived discretion and a positive effect on willingness-to-implement. Conversely, non-programmed decisions tend to have a positive effect on both perceived discretion and willingness-to-implement. Moreover, non-programmed decisions mitigated the effect of AI usage on perceived discretion, while programmed decisions interacted with AI usage to improve client meaningfulness and strengthen willingness-to-implement.