Yilin Zheng

The continuous expansion of environmental infrastructure systems plays a crucial role in urban sustainable development. While bringing significant environmental benefits, it also has negative impacts on the improvement of residents’ well-being (such as the ‘not in my backyard’ phenomenon). In this study, the system dynamics (SD) methodology is used to dissect the complex interactions between environmental infrastructure and urban residents’ well-being. Using Vensim modeling software and Chinese data from 2014–2019, this study designs basic and extended scenarios to discover urban environmental infrastructure development measures that effectively contribute to residents’ well-being. The simulation results reveal that, in the basic scenarios, the pattern focusing on environmental protection and resource-saving development is effective, while the collaborative development may have more long-term value. In comparison, in the extended scenarios, developing energy supply and pollution treatment facilities can effectively improve urban residents’ subjective well-being. But there are more factors to consider when planning urban green infrastructure.

Indoor air pollution is injurious to human health, even worse than outdoor air pollution. However, there is a lack of empirical evidence using large samples in developing countries regarding whether indoor air purification can improve human health by reducing indoor air pollutants. Using the data from the China Health and Nutrition Survey in 2015, this study analyzes the relationship between indoor air purification and residents’ self-rated health. We apply the generalized ordered logit model and find that indoor air purification has a significantly positive effect on residents’ self-rated health. This positive effect is limited to improving the probability of residents’ health level being rated “good”, and there is no significant movement between the two levels of “bad” and “fair”. The results also show that, as an important source of indoor air pollutants, solid fuels used in cooking significantly reduced residents’ self-rated health level. Additional results show the heterogeneity of the relationship between indoor air purification and resident health among groups with different characteristics. This study provides empirical evidence for further optimizing the indoor air environment.

The Beijing–Tianjin–Hebei urban agglomeration (BTH) is striving to realize the transformation process from a low-efficiency to a high-quality development mode; however, it still has problems regarding reducing energy consumption and ecological environment pressure. Based on panel data from 2013 to 2017, this paper proposes an evaluation index system based on BTH’s “environmental protection–industrial structure–urbanization” system. In the course of applying the coupling degree model (CDM) and the coupling coordination degree model (CCDM) with exploratory spatial data analysis (ESDA) methods, this paper discusses the spatiotemporal process, development level, and spatial agglomeration characteristics of the environmental protection–industrial structure–urbanization system in each city of the BTH area. The findings reveal that the coupling degree of the BTH system is gradually increasing, and that the development level of the BTH subsystem is unbalanced: the coupling coordination level of BTH shows a positive evolution process; however, it is in a stage of low-level collaborative development, and there are obvious differences in the level of BTH coupling coordination in space, revealing the convergence of low–high and high–low types. This paper concludes by putting forward the strategy of optimizing the regional spatial pattern of urban agglomeration and implementing integrated development in order to achieve the desired coupling and coordination effects.