Purpose: Suffering during events such as the COVID-19 pandemic threatens university students’ physical and psychological health. Given the literature indicating the protective role of resilience and social support, the current study explored the mediating and moderating roles of social support in the association between resilience and prosocial behavior among university students in mainland China during COVID-19 mitigation. Methods: We conducted an online survey using convenience sampling from 23rd February to 3rd March 2020 among Chinese university students who had encountered home-quarantine due to the COVID-19 pandemic. Self-report scales were used to measure levels of resilience (Connor-Davidson Resilience Scale), social support (the Social Support Scale), and prosocial behavior (Prosocial Tendencies Measure). A total of 313 university students participated in this online survey. Hayes PROCESS macro for SPSS was used to test the hypothesized mediating and moderating effects of social support in the relationship between resilience and prosocial behavior. Results: Pearson’s correlations analysis showed that all outcomes of interest were positively associated. Importantly, social support (subjective support, objective support, and support utilization) mediated the indirect link of resilience with prosocial behavior. Furthermore, moderation analyses indicated that support utilization played a moderating role in this link. Support utilization may reduce the negative influence of COVID-19 on university students’ prosocial behavior and serve as a protective factor between resilience and prosocial behavior in highly stressful contexts. Conclusion: Our findings enrich research on prosocial behavior by investigating the potential internal and external variables that influence such behavior during periods of suffering. Findings also provide evidence for the need to promote university students’ prosocial behavior.

Carbon emissions from the construction material industry have become of increasing concern due to increasingly urbanization and extensive infrastructure. Faced with serious atmospheric deterioration, governments have been seeking to reduce carbon emissions, with carbon trading and carbon taxes being considered the most effective regulatory policies. Over time, there has been a global consensus that integrated carbon trading/carbon tax policies are more effective in reducing carbon emissions. However, in an integrated carbon reduction policy framework, balancing the relationship between emission reductions and low-carbon benefits has been found to be a critical issue for governments and enterprises in both theoretical research and carbon emission reduction practices. As few papers have sought to address these issues, this paper seeks to reach a trade-off between economic development and environmental protection involving various stakeholders: regional governments which aim to maximize social benefits, and producers who seek economic profit maximization. An iterative interactive algorithmic method with fuzzy random variables (FRVs) is proposed to determine the satisfactory equilibrium between these decision-makers. This methodology is then applied to a real-world case to demonstrate its practicality and efficiency.

Purpose: In light of the ongoing COVID-19 pandemic, mental health concerns have become more prevalent worldwide. However, there is a lack of research specifically addressing the mental well-being of college art students. Therefore, the purpose of this study is to examine the prevalence of depressive symptoms among college music students and explore the factors that predict and alleviate these symptoms amidst the challenges posed by the COVID-19 pandemic. Materials and Methods: An online survey was conducted among college music students (n = 407) from two universities at May 2022 in China. Self-report scales were used to measure levels of depression (Zung Self-Rating Depression Scale), positive childhood experiences (Benevolent Childhood Experiences Scale), social support (Multi-Dimensional Scale of Perceived Social Support), and regulatory emotional self-efficacy (Regulatory Emotional Self-Efficacy Scale). Hayes PROCESS macro for SPSS was used to test the hypothesized effects of regulatory emotional self-efficacy and social support in the relationship between positive childhood experiences and depression. Results: Results showed that, the prevalence of depression symptoms of the current study sample was 64.13%, positive childhood experiences had a significant and negative predictive effect on the depression of college music students, and the relation was partially mediated by regulatory emotional self-efficacy. Furthermore, social support moderated the relationship between positive childhood experiences and regulatory emotional self-efficacy, the relation was significant only for students with higher levels of social support, social support may enhance and amplify the positive impacts of positive childhood experiences on regulatory emotional self-efficacy. Conclusion: The findings reveal a significant prevalence of depression among college music students during the COVID-19 epidemic, underscoring the seriousness of the issue. Moreover, this study contributes to a deeper comprehension of how positive childhood experiences alleviate depression among college music students. These insights hold potential for informing mental health education initiatives tailored to college art students in the post-pandemic era, offering valuable guidance for promoting their well-being and resilience.

Reducing farmland abandonment is crucial for food security. While the association between e-commerce proliferation and farmland abandonment at the village level has been discussed, the correlation at the farming household level remains unexplored. Utilizing 2020 survey data from 3831 rural households across 10 Chinese provinces, this study develops an “e-commerce–household–farmland abandonment” framework to explore the co-occurrence of e-commerce engagement with farmland abandonment, using econometric models. The findings reveal that e-commerce engagement significantly increases farmland abandonment, with implicit and explicit rates rising by 10.3% and 28.5%, respectively. It also shifts household incomes from planting to forestry, animal husbandry, and fisheries, leading households to reallocate labor away from agriculture, thereby intensifying abandonment. However, land transfer can alleviate this co-occurrence. This study also explores the variation in the association between e-commerce participation and farmland abandonment in relation to agricultural subsidies, economic development, and the presence of family farms. By elucidating the dynamics at the household level, this research offers fresh perspectives for developing countries to safeguard food security by curbing farmland abandonment.

This study focuses on the relationship between mixed religions and family donations in China as the object of analysis, where individual donations are primarily in the form of family contributions. Although there is considerable research on the relationship between religion and individual donations, the academic community has yet to clarify the connection between mixed religions and family donations. Based on the large-scale survey data from the 2020 China Family Panel Studies, this study employs econometric models such as probit and tobit models to examine the relationship. To mitigate endogeneity and enhance the robustness of the conclusions, this research also conducts instrumental variable analysis and robustness analysis. The study finds that the influence of mixed religions on family donations is greater than that of non-mixed religions, but this influence is more pronounced in families with higher donation levels. Heterogeneity analysis reveals that mixed religions have a greater impact on donations in families headed by individuals aged 41–59, females, those with no religious affiliation, residents of urban areas, and families in the western and northeastern regions. Furthermore, the impact of mixed religions on family donations is higher only when there is a combination of one or three religions. Additional analysis indicates that households with lower educational attainment, non-Party members, individuals suffering from illnesses, and unmarried females are more likely to choose mixed religions.