Currently, there are opposing views on the issue of whether financial support plays a role in improving the human settlement. This article is dedicated to exploring the mutual influence of financial support and the improvement of human settlements from the perspective of coupling effects, and determining the characteristics of coupling and coordination to promote the sustainable development of China and developing countries. This paper uses the entropy method and the coupling coordination model to estimate the coupling and coordination types of financial support and human settlements in seven provinces in the middle and lower reaches of the Yangtze River from 2005 to 2018. In addition, the spatial autocorrelation model is adopted to determine the spatial agglomeration characteristics of the coupling and coordination of financial support and human settlements. All in all, this paper believes that financial support has improved the human settlements, and that there is a coupling effect. Specifically, the coupling coordination value of financial support and human settlements fluctuated from 0.034 to 0.436, showing an inverted U-shaped development trend as a whole. In addition, the correlation between financial support and the improvement of the human settlements is currently in the stage of barely balanced development, and there is a gap between benign and coordinated development. Secondly, the coupling and coordination between financial support and human settlements has significant spatial agglomeration characteristics, and the coupling effect in the eastern region is weaker than that in the western region. In particular, Jiangxi was mainly distributed as high to high agglomeration, and Jiangsu was mainly distributed as high to low agglomeration. It has formed a coupling and coordinated development area with Jiangsu-Jiangxi as the axis, radiating the development of adjacent areas. This research reveals the heterogeneity of financial support to the improvement of human settlements in different regions, portrays the coupling characteristics of financial support and the improvement of human settlements, and provides ideas for the coordinated development of the two.
From the economic perspective, China has made remarkable progress, yet environmental concerns represent an alarm to the country’s long-term prosperity. The associated relationship between green investment and the green economy has important implications for the environment. Whether there is an interactive relationship between green investment and green ecology, current views seem to be at odds with each other. This paper employs a panel vector autoregressive model to construct an empirical analysis of China’s provincial panel data from 2005 to 2019. Specifically, generalized moment estimation, impulse response function, variance decomposition, and other measurement methods were applied to study the interaction between green investment and green ecological development. The research results show the following: (1) the inertial development of the green investment system seriously restricts the progress of green investment levels, and the long-term development of green ecology has a significant self-reinforcing trend; (2) the two-way interaction between green investment and green ecology shows a positive spillover effect in the short term, but the positive effect gradually weakens in the long run; (3) the impact of green ecology on green investment is most significant in the interactive relationship, and the positive effect of green ecology on green investment in the western region is the most prominent. Therefore, the government should standardize green investment standards and use policy guidance to promote the regional transfer of green investment and green ecological resources. Financial institutions should appropriately lower the financing threshold for polluting enterprises and municipal construction and leverage more social funds to flow into long-term green technologies and green industries. Companies should raise awareness of environmental disclosure, ban outdated production capacity, and transition to cleaner production models to secure green funding.
The study determines the coupling degree of green investment and green ecology in China using kernel density estimation, spatial autocorrelation analysis, and standard deviation ellipse model to empirically evaluate the data of 30 Chinese provinces from 2005 to 2019. Moreover, the study investigates the temporal evolution trend, spatial clustering characteristics, and spatial evolution trend of coupling degree. Although the coupling coordination value of green investment and green ecology gradually increased, it is generally at a low coordination stage. At the same time, regional disparities narrowed with the most significant variability in the eastern region. Moreover, results found that the aggregation effect of the coupling and coordination of green investment and green ecology is more significant, and the high-value aggregation area extended from the lower reaches of the Yangtze River to the midstream region, while the western region is dominated by low-value aggregation. Similarly, the degree of synergy between green investment and green ecology is increased; however, the fragmentation trend is inevitable. At the same time, the center of gravity of coupling coordination shifted to the western regions, and the spatial pattern gradually weakened in the “northeast-southwest” direction. The findings of the study stress that local governments of China should improve the green investment system for green ecological development in the surrounding areas of the Yangtze River Economic Belt. Moreover, it is required to focus on the Northeast revitalization and Western development strategies to promote the synergistic development of green investment and green ecology.
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