Complex mechanisms exist between public risk perception, emotions, and coping behaviors during health emergencies. To unravel the relationship between these three phenomena, a meta-analytic approach was employed in this study. Using Comprehensive Meta-Analysis 3.0, 81 papers were analyzed after selection. The results of the meta-analysis showed that (1) risk perception (perceived severity, perceived susceptibility) and negative emotions (especially fear) are both correlated with coping behaviors; (2) risk perception is strongly correlated with fear and moderately correlated with anxiety; and (3) anxiety predicts the adoption of coping behaviors. The existing research provided an empirical basis for implementing effective coping behavior interventions and implied that management decisionmakers need to consider reasonable interventions through multiple channels to maintain the public’s risk perception and emotions within appropriate levels. Finally, future research directions are suggested.

Clean heating renovation is important for optimizing the regional energy structure and improving the quality of the atmospheric environment in Northern China. According to survey data of 1298 rural households in the “coal-to-gas” reform in Hengshui of Hebei Province, in this paper, we construct a clean heating subsidy model which focuses on clean heating choices, the reburning rate, and the subsidy cost. The key parameters affecting farmers’ choice of clean heating, including the lifeline, classification of rural households, and gas price elasticity, are estimated. Furthermore, we simulate changes between the existing and new subsidy policies, including the impact on the welfare of rural residents. We present the following findings: (1) under the current subsidy standard, the level of gas heating lifeline in Hengshui is 700 m³, the proportion of low-gas-consumption households is approximately 47.38%, and the reburning rate ranges from 47.38% to 63.80%; (2) under a new subsidy standard which we designed to ensure that households will not reburn the coal, the optimal subsidy value is 1.23 CNY/m³, the optimal subsidy volume is 970 m³, and the total subsidy demonstrates an increase of 46.21%; and (3) the government’s subsidy standards should focus on low-income households.

As a major public health emergency, the COVID-19 pandemic has some uncertainties. Coupling of the uncertainties and anti-epidemic policies easily leads to the spread of negative emotions. It is challenging to maintain the sustainability of anti-epidemic measures. Therefore, this paper aimed to analyze the challenges that the sustainability of anti-epidemic measures is faced with. A topic clustering extension method was proposed, which integrated Latent Dirichlet Allocation (LDA) topic information with Bidirectional Encoder Representations from Transformers (BERT) contextual information through aspect-based sentiment analysis. In addition, this paper constructed a thesaurus of aspect words from the two stages of dynamic zero-COVID and orderly relaxation of epidemic control. This paper established the BERT-pair-ABSA model for semantic expansion of auxiliary sentences and calculated sentiment polarity to gain insight into the changes in netizens' concerns, emotional states and evolution trends at different stages. The research results showed: (1) Compared with the benchmark model, the proposed sentiment analysis model had better classification accuracy and was applicable to the sentiment classification of short texts in the epidemic situation; (2) During the dynamic zero-COVID stage, netizens paid attention to grassroots epidemic management and the scope of lockdown and epidemic control, which were closely related to both specific lockdown and control management, and the implementation of regional epidemic management; and (3) in the orderly relaxation stage of epidemic control, netizens were concerned about drug guarantee, medical care guarantee, personal health protection and health protection of special population groups, and negative emotions always dominated in drug guarantee, medical care guarantee and health protection of special groups. The negative sentiment of drug guarantee, medical care guarantee and health protection of special groups always dominated. The results provided an empirical basis for the optimization and adjustment of the anti-epidemic policies.

To address the limitations of traditional policy instrument analysis—such as labor-intensive coding, high subjectivity, and time-consuming procedures—this study develops a policy instrument analysis framework that integrates large language models (LLMs) and proposes a LLM-driven analytical workflow comprising six stages: case repository construction, policy instrument selection, content element generation, clause-level coding, reliability and validity testing, and quantitative analysis. Using governance texts on teachers’ ethical misconduct from 27 universities specializing in finance and economics as the empirical context, the study employed DeepSeek-R1 to identify policy instruments, classify content elements, perform clause-level coding, and conduct two-dimensional cross-tabulation analysis. The results indicate that these governance texts exhibit pronounced regulatory, procedural, and accountability-oriented characteristics, while also revealing a structural imbalance marked by strong front-end norm construction and relatively weak back-end remedial mechanisms. Overall, the proposed framework improves the efficiency and consistency of policy text analysis and provides a novel technical pathway for methodological innovation in education policy research.

Objectives: From the perspective of media framing, this paper explores how factual frame and influence frame affect the cognition of vaccine effectiveness among Chinese netizens, and how emotions vary in the process and act on the cognition. Methods: We first discuss the theoretical framework and propose hypotheses. Drawing on the cognitive theory of emotions and the Pleasure- Arousal-Dominance (PAD) model, the scale and questionnaire were designed, and used to test the influence of media framing over the cognition of vaccine effectiveness by 2-factor ANOVA and Bootstrap methods. Results: The proposed hypotheses were verified. The perceived effectiveness of domestic vaccines corresponding to the factual frame group was on average 0.19 (95% CI 0.641-0.642) higher than that of the influence frame. The impact on audience cognition from reports of positive tendency was on average 0.642 (95% CI 0.641-0.642) higher than that of negative tendency. The indirect effect of the media frame on the perceived effectiveness through the mediating variable emotion was -0.0923, at the 95% level. Conclusions: The audience can understand the effectiveness of COVID-19 vaccines better if the factual frame with actual data and authoritative opinions is adopted, rather than reports of the effects of the vaccines on the virus, the vaccinated, and society. Moreover, media reports should be more positive to mitigate the negative emotions, stimulate the arousal of public opinions, and improve audience cognition of report contents, thereby encouraging vaccine uptake.

The prospectus, as the primary vehicle for issuers to disclose information to the public, plays a crucial role in protecting investors' rights. Review inquiries serve as an important tool to ensure the quality of the prospectus, as the inquiry and feedback mechanism helps to identify potential risks and enhance the quality of information disclosure. This paper, based on the theory of responsive regulation and the attention-based view, takes companies applying for Initial Public Offering (IPO) on the Science and Technology Innovation Board (STAR) Market and ChiNext Board between 2019 and 2023 as the research samples. Using text analysis methods such as the Latent Dirichlet Allocation (LDA) topic model and dictionary-based methods, this study measures the intensity of review inquiries and the extent of information disclosure. It examines the impact of inquiry topics on the disclosure of corresponding information in the prospectus and explores the moderating effects of company ownership structure, sponsor reputation, and auditor reputation on these relationships. Empirical results indicate that: (1) an increase in the formality of review inquiries enhances the optimization of information disclosure in the prospectus; (2) the focus of review inquiries on specific topics has a significant positive impact on the update of relevant information disclosure in the prospectus; and (3) at the ownership structure level, state-owned enterprises dampen the positive influence of review inquiries on the textual features of the prospectus.