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Urban agglomerations are emerging as new regional units for national participation in global competition and the international division of labor. However, they face increasingly severe resource and eco-environment pressures during urbanization. The coordination of the relationship between urbanization and the eco-environment has attracted global attention. In this study, we used Coupling Coordination Degree and Vector Autoregression models to examine the dynamic evolution, coupling relationships, coordinated development patterns, and interaction mechanisms between urbanization and the eco-environment. The results indicate that: (1) The level of urbanization in the Chengdu-Chongqing Urban agglomeration was relatively low, and the region showed a good eco-environment background. However, rapid urbanization is gradually straining the carrying capacity of the eco-environment. (2) A close and stable coupling relationship exists between urbanization and the eco-environment, which has reached an advanced coupling stage. The status of coordinated development among cities differs considerably, and multiple stable forms may exist simultaneously. (3) Urbanization has a substantial impact on environmental changes, whereas the restrictive effect of the eco-environment on urbanization development is not particularly notable. (4) Various interactive relationships exist between the urbanization and eco-environment subsystems, including positive promotion and negative constraint effects. The positive promotion effect mainly manifests between the economic, social, and ecological response subsystems, while the negative constraint effect is most evident in the mutual coercion and inhibition between the regional urbanization, economic urbanization, ecological status, and ecological pressure subsystems. These findings have important policy implications for decision makers exploring the path of coordinated and sustainable development in urbanization and the eco-environment in Urban agglomerations. [ABSTRACT FROM AUTHOR]

Due to the rapid progress of urbanization in China, the percentage of residential energy consumption out of total energy consumption has increased. This paper uses statistical data from 30 Chinese provinces (autonomous regions and municipalities) from 2000 to 2020 to analyze the impact of urbanization on residential energy consumption and construct an econometric model to test the mechanism. The empirical tests show that the consumption of direct energy (energy that exists in nature in its original form and has not been transformed) is positively U-shaped about the urbanization rate. Furthermore, the impact of economic development on direct and indirect energy consumption is significantly positive. In contrast, the effects of population agglomeration on immediate energy consumption are adverse, and the indirect energy consumption is positive. [ABSTRACT FROM AUTHOR]

The "Broadband Village" (B&V) initiative is a substantial investment in internet construction in rural areas in six western provinces implemented by the Chinese government since 2014. This study evaluates the effect this policy has had. Panel data of 1,049 counties in China from 2015 to 2019 are used for the regression discontinuity design (RD) to estimate the impact of B&V on the improvement of the income level of rural residents. The results show that, compared to the counties without the B&V policy, the income of rural residents in counties with B&V has increased by 1.468–1.518 times, which is nearly 1.3 times the sample mean of survey data, indicating that the income level of rural residents has been improved significantly by B&V. However, the quantile regression results show that the higher the income level of rural residents, the smaller the effect of this policy. From the dynamic effect of years, the influence curve of B&V on rural residents' income is an inverted U-shaped, first increasing and then decreasing, and the impact of this policy on the income level of highly-educated farmers is greater. Finally, three different methods are used to verify the robustness of the model. [ABSTRACT FROM AUTHOR]