Finance contributes to poverty alleviation through economic growth, and the development of green finance is related to the sustainable development of the world economy and environment. Green finance not only helps promote sustainable economic development but also helps reduce poverty. Based on the analysis of related theories about green finance and poverty alleviation, this paper selects 18 indicators from three dimensions of economic development, financial development, and social environmental development and uses the improved entropy method to measure the green finance development index of China’s 25 provinces and municipalities from 2004 to 2017. The results show that the development level of green finance in China’s 25 provinces and municipalities is quite different. On the basis of the above analysis, make an empirical analysis of the impact of the green finance development index on poverty alleviation using multiple regression analysis and static panel and dynamic panel estimation methods. The research results show that there is a significant positive correlation between green finance and poverty alleviation; the higher the level of green finance development, the more conducive the poverty alleviation. So, this paper suggests that poverty can be better alleviated by improving the level of green finance development, financial asset level, and economic development level.
Based on the calculation of the inclusive financial development level of 22 provinces and 4 municipalities in China from 2004 to 2017, this paper uses the Kernel density estimation method to further analyze the evolution of the inclusive financial index. Based on the above analysis, we make empirical analysis of the impact of China's inclusive financial inclusion development index on farmers' entrepreneurship using static panel and dynamic panel estimation method. The empirical conclusions show that there are certain differences in inclusive financial inclusion development level in various provinces in China. Improving the inclusion development level of inclusive finance can better promote farmers' entrepreneurship. Urbanization level, economic openness and regional economic development level have a significant positive effect on farmers' entrepreneurship, while farmers' income and education level have a significant negative effect on farmers' entrepreneurship. It is possible to promote farmers' entrepreneurship by improving the inclusive development level of inclusive finance, combining urbanization, increasing government investment in productive fixed assets, increasing economic openness and improving regional economic development.
This paper studies the impact of the development of green finance on China’s energy consumption structure. 17 basic indexes and the improved entropy weight method are used to construct the green finance index (GFI). Multiple regression, panel regression, and spatial regression are used to study the impact of green finance on China’s traditional energy and renewable energy consumption. The results show that there is a positive spatial spillover effect in the development of green finance among provinces in China. The development of green finance contributes to the conversion of traditional to renewable energy consumption. The effect of green finance on the transformation of energy consumption structure is mainly reflected in the direct effect. The green finance in each province not only helps the local development of green energy but also plays a good role in the production and utilization of clean energy consumption in surrounding provinces. Therefore, the government should support the green finance, reduce traditional energy consumption, and increase renewable energy consumption.
Based on an analysis of the function of technology finance for green high-quality development, this paper selects 35 basic indicators from the five dimensions of innovation, coordination, greenness, openness, and sharing to construct an Green High-quality Development Index. Moreover, 14 basic indicators are selected from the three dimensions of technology finance resources level, technology finance input level, and technology finance output level to construct a technology finance development evaluation system. Then, using the entropy method, panel data from the period 2000–2020 from China’s 30 provinces was employed to assess the Economic Quality Development Index and the Technology Finance Development Index. The results show that provinces and cities with a good economic development level have a relatively high level of strong economic and technology finance development, including Beijing, Shanghai, and Jiangsu. Moreover, the results reveal a certain gap between different provinces. Multiple regression, static panel regression, dynamic panel regression, the static space Dubin model, the dynamic space Dubin model, and the semi-parametric space lag model were used to test the effect of technology finance on China’s green high-quality development. This study found that technology finance has significantly enhanced green high-quality development of China’s as a whole through a non-linear promotion effect. To better promote green high-quality development, the following measures are recommended: 1) improving the level of technological and financial development, 2) increasing the scale of government expenditures, 3) strengthening infrastructure construction, 4) accelerating the construction of new urbanization, and 5) improving the level of human capital.
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