Previous studies in developed countries have found that living in rapidly urbanizing areas is associated with higher risk of mental illness and that social capital had a protective effect on individual mental health. However, the literature is missing empirical studies of the relationship between urbanization, neighborhood social capital and mental health in rapidly urbanizing countries. To bridge this knowledge gap, this study investigated the effects of urbanization on depressive symptoms in China, with an emphasis on the mediating role of neighborhood social capital in the relationship between urbanization and individual-level depressive symptoms. Nationally representative survey data from the 2016 wave of China’s Labor-force Dynamics Survey were used. A sample of 20,861 individuals was obtained from 401 neighborhoods in 158 prefecture-level divisions of 29 provinces. Depressive symptoms were measured using CES-D scores. Neighborhood social capital was assessed by three individual-level variables aggregated to the neighborhood level: perceptions of neighborly trust, the extent of neighborly reciprocity, and membership to neighborhood social groups. Multilevel linear regression and mediation analyses were used to estimate the statistical relationships. The multilevel linear regression analyses found negative relationships between urbanization rate and CES-D score. The mediation analysis found that neighborhood-level social capital was an inconsistent mediator in the relationship between urbanization rate and CES-D score. Interaction terms between urbanization rate and two measures of neighborhood-level social capital were statistically significant, indicating that the protective effects of neighborly reciprocity and membership to neighborhood social groups on CES-D scores (negative relationships) were stronger in the relatively more urbanized areas. Urbanization supports mental health in the Chinese context, although it might undermine residents’ mental health by reducing neighborhood social capital. The protective effect of neighborhood-level reciprocity and social group membership on mental health increased with urbanization.

The relationship between the neighborhood environment and mental health has been investigated mostly in developed countries. Yet few studies have systematically examined the impact of the neighborhood-level built-environment and social environment on mental health within different localities in the Chinese context. Based on a household survey and geographical data in Guangzhou, China, this study aimed to explore the linkage between the neighborhood environment and mental health, with a particular focus on aspects of the built-environment that are related to new urbanism or compact cities and contextual social capital, using three geographic delineations. Our findings indicated that built-environment indicators based on a road network buffer had a higher explanatory power towards residents’ mental health than did those based on a circular buffer. The analytical models demonstrated that neighborhood floor-area ratio, building density, and per capita green area were positively correlated with mental health. Neighborhood safety and contextual neighborhood interactions and reciprocity had positive associations with mental health. These findings provide policy makers and urban planners with valuable information on the role of the compact city strategy and the neighborhood social environment to improve the mental health of residents.

As a global phenomenon, farmland abandonment continues to challenge the sustainability of the agri-food supply and rural development. Investigating the heterogeneous effects of multilevel location on farmland abandonment is of great importance to understand the spatial disparity and the mechanism of farmland abandonment, which has significant policy implications for food security and rural revitalization. Taking Tai’an City as a case, this study aims to explore the impact of multilevel location on farmland abandonment at the village level and its spatial heterogeneity. The results show that (1) high accessibility to regional centers and roads, rather than remoteness, leads to a high rate of farmland abandonment; (2) the effect of location varies depending on the level of location. High-level regional centers (city centers and county centers) and roads (national and provincial highways) exert a stronger impact on farmland abandonment than low-level town centers and county highways; (3) the effect of location is topographically heterogeneous due to the influence of terrain on the marginalization of farmland. In the plains, except for county highways, the distance to different levels of regional centers and roads is significantly negatively correlated with farmland abandonment. However, in mountainous areas, only high-level regional centers have significant negative impacts.