Relationship between Environmental Pollution, Environmental Regulation and Resident Health in the Urban Agglomeration in the Middle Reaches of Yangtze River, China: Spatial Effect and Regulating Effect

Does environmental pollution reduce residents' income? Evidence from CFPS in China

Understanding the relationship between environmental pollution and residents' income is extremely important for promoting sustained progress and high-quality economic growth. This research examines the impact, mechanism, and heterogeneity of environmental contamination on residents' earnings by fusing the micro data from China Family Panel Survey with the macro data of government statistics. The results reveal that environmental degradation has a significantly negative impact on residents' individual income. Further research on the intermediary mechanism finds that environmental pollution plays a harmful role in residents' income by reducing residents' subjective well-being and labor employment. Besides, the income effect of environmental pollution is significantly heterogeneous among different regions and differentiated groups. The deteriorating environmental quality widens urban-rural income gap and increases wage inequality of inhabitants in eastern, central, and western regions of China. The gender income gap and the income disparity between different income brackets also expand with environmental deterioration. These findings not only prove that long-term development at the cost of the ecological environment is undesirable, but also demonstrate the important role of the improvement of ecological environmental quality in promoting human well-being.

Research on the impact of the development of green finance in the China region on residents' health

In the context of implementing the strategy of "double carbon" and "healthy China," this paper firstly measures the level of green finance development and the comprehensive index of health care accessibility in each province by using the entropy weight method based on 30 provincial panel data from 2007 to 2021. A panel fixed effects model was also used to empirically analyze the effect of regional green finance development on the improvement of residents' health. In addition, a panel threshold model was constructed to empirically test the threshold effect of green finance on residents' health under the influence of four external environments: carbon intensity level, healthcare accessibility, residents' living standard and human capital level. The empirical results show that the regional green financial development in China significantly improves the health level of residents. And the impact has significant regional heterogeneity, as shown in the improvement effect is more significant for the provinces in the central and western regions. In addition, the impact of green financial development on the health level of residents in China is non-linearly influenced by external environmental factors. The improvement effect of green finance on residents' health level is more significant in the provinces with higher carbon intensity level, residents' living standard, human capital level and lower accessibility to medical services. In this regard, regional governments should continue to build and optimize a synergistic development ecosystem of green finance and public health, give full play to the advantages of financial leverage, promote green, low-carbon and high-quality economic and social development, and realize the beautiful vision of harmonious coexistence between human beings and nature.

Fracture Closure Empirical Model and Theoretical Damage Model of Rock under Compression

The rock or rock mass in engineering often contains joints, fractures, voids, and other defects, which are the root cause of local or overall failure. In response to most of the current constitutive models that fail to simulate the nonlinear fracture compaction deformation in the whole process of rock failure, especially brittle rocks, a piecewise constitutive model was proposed to represent the global constitutive relation of rocks in this study, which was composed of the fracture compaction empirical model and the damage statistical constitutive model. The fracture empirical compaction model was determined by fitting the expressions of fracture closure curves of various rocks, while the rock damage evolution equation was derived underpinned by the fracture growth. According to the effective stress concept and strain equivalence hypothesis, the rock damage constitutive model was deduced. The model parameters of the fracture compaction empirical model and damage statistical constitutive model were all calculated by the geometrical characteristics of the global axial stress-strain curve to guarantee that the models are continuous and smooth at the curve intersection, which is also simple and ready to program. Finally, the uniaxial compression test data and the triaxial compression test data of different rocks in previous studies were employed to validate the models, and the determination coefficient was used to measure the accuracy. The results showed great consistency between the model curves and test data, especially in the pre-peak stage.