Achieving synergistic governance of air pollution treatment and greenhouse gas emission reduction is the way for the Chinese government to achieve green transformational development. Against this background, this paper takes the implementation of the carbon emissions trading system (ETS) as the breakthrough point, using the time-varying difference-in-differences (DID) model to explore the synergistic emission reduction effect of ETS on air pollution and carbon emissions and its mechanism. The results indicate that the implementation of ETS not only significantly reduces CO₂ emissions but also synergistically achieves the reduction of air pollutants, and the synergistic emission reduction effect is mainly achieved through the synergistic reduction of SO₂. Moreover, the emission reduction effect of ETS has economic and regional heterogeneity. On the one hand, the ETS has a more prominent carbon reduction effect in less developed provinces and cities and has a significant synergistic emission reduction effect on SO₂ and PM_2.5; on the other hand, the carbon emission reduction effect of ETS is more potent in Beijing, Hubei, and Shanghai, followed by Tianjin and Chongqing, and the weakest in Guangdong. In addition, through the analysis of the mediating effect, this paper finds that reducing energy consumption, optimizing the energy structure, and improving energy efficiency are effective ways for ETS to achieve synergistic emission reduction. This study provides valuable policy enlightenment for promoting the synergistic governance of pollution and carbon reduction.

Fiscal decentralization (FD), as an institutional arrangement for the fiscal division between central and local governments, gives local governments the enthusiasm and autonomy to provide public products and services. With the dominance of environmental governance, how local governments can avoid intergovernmental “race to the bottom” issues through green technology innovation (GTI) is a matter of regional green development and continuous improvement of atmospheric environmental quality. Based on a sample of 30 provinces in China from 2003 to 2018, this paper uses the spatial Durbin model (SDM) to examine the relationship between FD, GTI, and regional air pollution and explores their spatial spillover effect and regional heterogeneity from the perspective of intergovernmental competition. The results indicate that the FD and GTI in various provinces had significant and regionally differentiated inhibitory effects on local air pollution. In Western China, due to the regional competition among local governments in terms of economic development, economic development-oriented fiscal expenditures crowd out environmental governance-oriented fiscal expenditures, which has led to the consequence that FD can intensify local air pollution and has a positive spillover effect, but the demonstration effect of green technological innovation can well moderate the effect of FD on air pollution. FD in the eastern region has played a positive role in promoting regional air quality improvement. However, its green technological innovation has not played a positive role in reducing emissions, and it plays a significant negative regulatory role in the emission reduction effect led by FD. Finally, the article puts forward policy recommendations in terms of a fiscal decentralization system, green technological innovation, and performance evaluation mechanism.

The COVID-19 pandemic has not only caused significant economic, social, and cultural impacts, but it has also significantly influenced the public’s sense of psychological health and safety. Therefore, this study aimed to explain the theoretical logic of risk perception and the sense of public health safety. A conceptual framework of risk perception consisting of four dimensions—emotional perception, information perception, trust perception, and efficacy perception—was constructed. Additionally, the impact of risk perception on the sense of public health safety was empirically explored. By conducting an analysis of a survey of 292 residents in China, we found that risk perception had different impacts on residents’ sense of public health safety. Emotional perception and information perception had significantly negative effects on the sense of public health safety, while the effects of trust perception and efficacy perception were significantly positive. Notably, emotional perception played a partial mediating role in the impact of information perception, trust perception, and efficacy perception on sense of public health safety, respectively. The findings of this study showed that emotional perception is a critical mechanism for improving residents’ sense of public health safety. Some certain guidance measures are provided to reduce public anxiety and fear during pandemics.

Introduction: With the advent of the information economy era, incidents of personal data breaches have occurred frequently, and the issue of personal information protection has become increasingly prominent. As primary users of Internet services, college students have seen their information security behavior emerge as a focal point of both academic inquiry and public concern. Investigating the factors influencing these behaviors holds substantial significance for enhancing the quality of university-based information security education and advancing the development of safe campus ecosystems. Methods: Based on the Protection Motivation Theory (PMT), this study constructed hypotheses about influencing factors of information security behavior among college students. Drawing on urban distribution across China, 23 cities were selected for data collection, with college students as the target population. A total of 3,030 valid questionnaires were ultimately retained. Data analysis was conducted by SPSS 20.0, including reliability tests, validity tests and regression analysis, to systematically explore the relationship between information security behavior and threat appraisal (perceived threat) as well as coping appraisal (self-efficacy, response efficacy and response cost). Results: Empirical analysis indicates that perceived threat, self-efficacy, and response efficacy exert a significant positive effect on college students’ information security behavior, among which response efficacy demonstrates the strongest positive impact. Conversely, response cost shows a significant negative impact on college students’ information security behavior. Discussion: These findings not only help enrich the knowledge system in the field of information security, but also provides practical insights for strengthening the campus information security environments. Furthermore, they provide actionable insights for policymakers tasked with addressing issues in information security behavior.

Explosion accidents, representing one of the most severe accident types within the chemical industry, pose substantial threats to personnel safety, economic losses, and environmental pollution, among other consequences. This paper constructs a research framework based on the REASON theory, utilizing accident investigation reports of 30 typical chemical enterprise explosion accidents in China from 2013–2022 as research samples. The fsQCA method is employed to deeply explore the influencing factors and causal configuration pathways of chemical explosion accidents from a configurational perspective. The study findings indicate that the occurrence of explosions in chemical enterprises is the result of the coupled effects of multiple factors, with five complex accident causation configurations, which can be summarized into the following three categories: organizational management deficiencies, supervision deficiencies, and behavior–risk linkages. Organizational management and safety supervision have a direct and significant impact on the occurrence of explosions in chemical enterprises and are key factors in the accidents. The research conclusions contribute to a rational understanding of the complex causes of explosions in chemical enterprises and provide practical guidance for the prevention and control of such accidents.

Introduction: For communities to effectively reduce disasters, the mobilization and guidance of urban residents’ emergency behavior are essential. Community disaster reduction efforts can become more targeted and accurate when the different influencing factors behind different types of emergency behavior are clearly understood.Methods: We classify emergency behavior into two categories—self-help and mutual aid—based on differences in residents’ behavioral motivations. A coupled “cognition-environment-behavior” driving model has been constructed, drawing upon social cognition theory, to study the mechanisms that drive residents’ emergency actions. The research empirically analyzes factors influencing residents’ emergency behavior during community disasters, utilizing a sample dataset from 72 communities across China that included 6,817 participants.Results: Three findings are obtained from this study. (1) The extent of residents’ emergency knowledge and skills, with the public dissemination of community information, significantly affects the adoption of self-help emergency behavior. (2) Emergency emotional states, alongside community cultural propaganda, tend to promote mutual aid emergency behavior. (3) Experience with disasters significantly moderates how the community’s disaster mitigation environment affects residents’ emergency behavior.Discussion: This study not only emphasize key differences in factors across various types of resident behavior but also offer theoretical direction and practical points of reference for enabling targeted responses in community disaster mitigation.