The benefits of green spaces on individuals’ health have been widely acknowledged due to their inherent natural qualities. Currently, university students are experiencing significantly higher levels of mental health problems than other social groups. There is a scarcity of studies examining the association between built environment factors and mental health issues among university students, particularly in the Chinese context. University campuses in China are physically isolated, secluded communities, and in this respect, they differ markedly from the spatial organisation patterns of Western universities. Therefore, this study focuses on the correlation between the extent of green space exposure within closed university campuses and the occurrence of mental health issues among resident students. A deep-learning methodology incorporating streetscape images, remote sensing data, and multilevel linear modelling is employed in order to facilitate a comprehensive analysis. The results demonstrate a negative correlation between green space exposure on campus and the level of mental health issues among university students. Individual socio-demographic characteristics, such as whether a person has a partner, are also found to influence the level of mental health issues that they experience. In addition, a significant relationship is found between travel patterns and mental health issues, with students who walked regularly having a lower incidence of mental health issues than those who drove. Our research indicates that, in order to foster healthier communities and enhance social inclusion, urban planners should prioritise the development of greener campuses and urban transport services to improve accessibility to green spaces.

This study investigates how consumers’ willingness-to-pay (WTP) for green products affects the decisions made by the green supply chain players. Through the application of game theory and uncertainty theory, our findings show that a higher consumer WTP for green products usually leads to a higher retail price and market share of green products, which motivates retailers and manufacturers to invest more in green technology. We also find that an increased WTP for green products can spur retailers to reduce the optimal green cost-sharing rate due to the pressure of increasing costs. In addition, we find that retailers are willing to lower the cost sharing rate when the confidence level increases. Regarding the contributions made by this study, it is one of the first to explore the transmission mechanisms involved in the management of the green supply chain by linking consumers’ WTP for green products to strategic decisions made by green supply chain players under conditions of uncertainty. Furthermore, our study could help green supply chain players to optimise the cost sharing mechanisms they use to generate more revenue, due to the increase in WTP for green products, which will in turn help to facilitate a low carbon economy.