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The "campus loans" crisis has highlighted the importance of financial literacy among Chinese college students. Based on an analysis of 2,266 valid questionnaires, this study utilized survey data and logistic regression to examine the correlations between demographic and behavioral factors and financial literacy among students. The results indicated that, compared to their international counterparts, Chinese students generally possess less financial knowledge. However, they exhibit stronger financial attitudes and behaviors. A significant gender disparity was observed, with female students outperforming male students in financial literacy. Students attending more prestigious universities, particularly those majoring in economics, management, science, and engineering, and those dedicating more time to financial education, showed higher levels of financial literacy. Additionally, positive social interactions were associated with enhanced financial literacy. The study also identifies a "Surrounding People Effect," where the presence of financially knowledgeable peers, friends, and family correlates with improved financial literacy among college students. These findings offer critical insights for developing targeted policies to enhance financial literacy among Chinese college students.

AbstractBecause the increased frequency, intensity, and duration of extreme weather events have significantly challenged power systems, there has been an increased interest in resilient power systems. This article establishes a multicriteria resilience evaluation framework for urban power systems from a physical–cyber–human system perspective, in which the two principal elements responsible for power system function degradation are described, the three major domains comprising urban power systems are explained, four core capacities that positively contribute to power system resilience are proposed, and 15 (11 objective and four subjective) power system resilience evaluation indicators are identified. Fuzzy hesitant judgment and a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) aggregation method are employed to minimize the expert divergence and maximize the group consensus. A validation method is designed and a comparison with commonly applied performance‐based and attributes‐based evaluation methods is conducted. The applicability of the evaluation framework is verified using data from four Chinese municipalities: Shanghai, Beijing, Chongqing, and Tianjin. It was found that Shanghai's resilience was the best, and Chongqing's physical resistance disadvantages would result in the greatest difficulties in coping with extreme event disturbances. Physical, cyber, and human domain resilience enhancement strategies are given for different cities separately. This study provides a practical tool to evaluate, compare, and enhance power system resilience for governments and public utilities.