The Relationships between University Students' Physical Activity Needs, Involvement, Flow Experience and Sustainable Well-Being in the Post-Pandemic Era

As the global sustainable development agenda advances, having a healthy lifestyle has become an important part of the common pursuit. Physical activity needs and experiences are becoming increasingly diverse, yet there is a paucity of research on issues associated with university students' physical activity needs, and their perceptions of their physical activity needs and sustainable well-being are not yet fully understood. Therefore, this study combines Self-Determination Theory with the existence, relatedness, and growth (ERG) Theory of Needs to explore the mediating effects of different variables on the relationship between university students' physical activity needs and sustainable well-being. A total of 900 Chinese university students were invited through an online survey to participate in this study, and the collected data were validated with a structural equation model. According to the results of the study, it was found that the level of involvement and flow experience in university students' sports activities have a mediating effect on the relationship between needs and sustainable well-being. Therefore, educators can enhance the level of sustainable well-being by stimulating university students' physical activity needs and improving their level of involvement and participation experience.

Market sentiment to COVID ‐19 and the Chinese stock market

We classify the market sentiment to COVID-19 into expected and unexpected components and then examine their particular impacts on the stock market. We find that unexpected sentiment causes fluctuations in the stock market more than expected sentiment does. However, unexpected sentiment cannot affect stock market informativeness despite the remarkable informational effect of expected sentiment. Moreover, the relation between expected sentiment and stock market fluctuation or informativeness is one-way, whereas there exists a two-way interaction between unexpected sentiment and stock market fluctuation. This further confirms that expected sentiment is informational, whereas unexpected sentiment is quite noisy and informationally harmful.