Teacher well-being plays an important role in education reform because it marks teachers’ positive evaluation of and healthy functioning in their work environment. However, there has been insufficient research on the relationship between distributed leadership and teacher well-being and on how organisational trust works as a mediator between these two constructs. Based on responses from 587 teachers in primary schools in southwest China, this study examined how distributed leadership contributes to teacher well-being with attention to the mediating role of organisational trust. Using structural equation modelling and bootstrapping tests, the analysis showed a nonsignificant direct effect between distributed leadership and teacher well-being. Organisational trust and its two dimensions, namely trust in the working team and trust in the principal, had significant mediating effects on the relationship between distributed leadership and teacher well-being. However, the dimension of trust in the work setting did not appear to be a significant mediator. This study contributes to a better understanding of the transferability of leadership theories across cultures and to a deepening comprehension of strategies for improving teacher well-being in Chinese schools and similar contexts. Implications of the study and future research direction are presented.

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Using data from 30 provinces and cities in China from 2005–2018, panel regression models, mediation models, quantile regressions and threshold regressions were used to examine the relationship between graduate student size expansion, innovative human capital and green total factor productivity (GTFP) and analyze the influence mechanisms and heterogeneity among them. The results of the study are as follows: First, graduate student expansion and innovative human capital are the driving force for GTFP growth in China, and graduate student size expansion indirectly boosts GTFP by promoting the supply of innovative human capital, with a 73% mediating effect. Second, the effects of graduate student expansion and innovative human capital on GTFP show a trend of diminishing marginal benefits, and the estimated coefficient of the effect of graduate student scale share on GTFP has an inverted U-shaped relationship. Third, there is a significant threshold feature of industrial structure upgrading in the influence of graduate student scale expansion on GTFP. The study makes suggestions in terms of expanding of the graduate students, rationalizing the enrollment structure of universities, optimizing the regional industrial structure and creating a social innovation environment.

It is well known that the proper allocation of learning time is particularly important for promoting students’ academic performance. Based on the data from PISA 2018, this research used the method of threshold regression and quantile regression to explore the optimal length of learning time to promote the students’ academic performance. At the same time, this research also explored the heterogeneity of the effect of learning time on different academic levels of students. The results show that for four Chinese provinces and cities, including Beijing, Shanghai, Jiangsu province and Zhejiang province, students who study in rural areas and private schools usually have longer learning time than students in cities and public schools. Moreover, it is suggested that there is no significant association between school quality and students’ learning time. The average learning time of students from the four Chinese cities and provinces is obviously longer than that in OECD countries. Moreover, it is found that the impact of learning time on academic performance across subjects is inverted U-shaped, and the optimal study time can be found in the learning of mathematics, science, and reading related subjects. As for the effect of learning time, the results showed that learning time commitment is more effective for students who are academically disadvantaged. At the same time, this study found that there is a relationship between students’ excessive learning time and students’ subjective well-being and attitudes toward learning activities. The non-cognitive factors can influence students’ academic performance gradually. According to the results of this research, it is suggested that students need to balance their learning time allocation against the appropriate learning time standards. Moreover, schools should adopt different learning time allocation schemes for students at different academic achievement levels. The teachers also should uphold a more scientific design of students’ after-school homework, and teachers and parents should also focus on improving students’ learning efficiency.

In the context of the COVID-19 pandemic and under the pressure of high competitiveness for higher education in China, junior high school students' mental health is facing greater challenges. Understanding the time allocation of study and sleep is necessary for developing effective prevention and treatment programs. Based on a survey of 31,057 junior high school students in 47 junior high schools in Gansu Province, mainland China, the study analyzed the associations of time spent on study and sleep with anxiety and depressive symptoms among junior high school students through chi-square test, ANOVA, logistic regression model and threshold regression model. It was found that 18.4%-21.1% of junior high school students had mild and above anxiety and depressive symptoms. Female junior high school students were more likely to have anxiety and depressive symptoms. In addition, time spent on study was significantly and positively associated with anxiety and depressive symptoms and time spent on sleep was significantly and negatively associated with anxiety and depressive symptoms. Late sleepers were more likely to suffer from anxiety and depressive tendencies. Reducing after-school study time appropriately and getting more sleep are beneficial in reducing anxiety and depression, but it is more important to ensure time of sleep. For the reduction of anxiety and depressive symptoms, the maximum time spent on study after school should not exceed 1.92 h, the minimum time spent on sleep at night should be more than 7 h and a 40-min lunch break should be guaranteed at noon.