Linkage Analysis between Finance and Environmental Protection Sectors in China: An Approach to Evaluating Green Finance

Li, Libo; Wu, Wenbing; Zhang, Mingyu; Lin, Lu

doi:10.3390/ijerph18052634

Cited by 15 publications

(10 citation statements)

References 29 publications

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“…Weng [16] considered that green finance has just started in China, and there is not only a big gap with foreign countries in terms of product categories, service scope, and development speed, but Cao [17] considered that there are also many problems in the green financial system, such as incomplete policy systems, insufficient continuous development momentum, and inconsistent standards. Li et al [18] provided a framework for evaluating green finance via linkage analysis based on input-output theory. They worked out the relationship between finance and the environmental protection sector by calculating industrial linkages in two Chinese provinces from 2002 to 2018.…”

Section: Research On the Measurement Of Green Finance's Development Levelmentioning

confidence: 99%

An Empirical Test of Low-Carbon and Sustainable Financing’s Spatial Spillover Effect

Sun

et al. 2022

Energies

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In this paper, the panel data of 30 provinces in China from 2011 to 2019 are analyzed by the spatial measure model and the threshold regression model. The results show that the air quality level is positively correlated with green finance, but there is no spatial effect. The spatial effect of the three influencing factors, including the degree of openness, the level of infrastructure, and the level of education, is the crowding-out effect. At the same time, variables such as human resource level, air quality, and infrastructure construction level all have threshold effects in the relationship between green finance and economic development. The research conclusions suggested that local governments at all levels should formulate policies according to the actual situation to promote the development of provinces’ intensive, intelligent, and green development, and build a regionally-linked green finance development model, thereby promoting the improvement of green finance.

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Section: Research On the Measurement Of Green Finance's Development Levelmentioning

confidence: 99%

An Empirical Test of Low-Carbon and Sustainable Financing’s Spatial Spillover Effect

Sun

et al. 2022

Energies

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“…Green industry aims to adopt new technologies and processes, such as cleaner production, to achieve the goal of high output and low pollution. The transformation of traditional industries to green industries can reduce pollutants, especially carbon dioxide emissions, so as to achieve the goal of environmental protection; therefore, we use the market value ratio of the green industry to measure the level of green investment [ 21 ].…”

Section: Empirical Strategymentioning

confidence: 99%

The Spatial Heterogeneity Effect of Green Finance Development on Carbon Emissions

Feng

Shang

et al. 2022

Entropy

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This paper uses the entropy method to estimate China’s green financial development from four aspects, namely, green credit, green securities, green insurance, and green investment, based on the provincial-level panel data from 2008 to 2019. The spatial Durbin model (SDM) is adopted to estimate the spatial effect of green finance on carbon emissions. We then compare the heterogeneous effect in the South and North of China. The results show that China’s green financial development can significantly reduce carbon emissions, and regional heterogeneities are obvious. In the South of China, this effect from local and adjacent regions is not significant, while on the whole, green finance can significantly reduce carbon emissions; but for Northern China, this effect is not significant; nationally, the development of green finance and carbon emissions in adjacent areas showed an inverted U-shaped relationship. China’s green financial development and carbon emissions also showed an inverted U-shaped relationship. These results suggest that the effect of green finance development on carbon emissions exhibits substantial regional heterogeneity in China. Our paper provides some concrete empirical evidence for policymakers to formulate green financial policies to achieve the double carbon goal in China.

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“…Therefore, this paper used agricultural insurance scale and loss ratio to measure the depth of green insurance. The scale of environmentally friendly companies can be measured by green securities to some extent, so the market value of environmentally friendly companies is used to measure green securities in this paper [50]. In summary, this paper gave weight by the entropy method, and the index system of green finance development is shown in Table 1.…”

Section: Core Explanatory Variable: Green Finance Development (Gfin)mentioning

confidence: 99%

Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces

Chen

2021

Sustainability

153

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Dealing with the relationship between environment and economic development is the core issue of China’s sustainable development. At present, China’s economic transformation is urgent, and green finance is being widely concerned. This paper measured the development level of China’s green finance from the perspective of green credit, green securities, green investment, and green insurance. Then, it used a spatial dynamic panel model to empirically test the mechanism of the impact of green finance on carbon emissions with panel data of 30 Chinese provinces from 2005 to 2018. The following can be seen from the results: (1) The development of green finance contributes to carbon emission reduction. (2) The spatial spillover effect of green finance is significant. Specifically, the development of green finance can not only reduce the carbon emissions of the local region but also inhibit that of adjacent areas. (3) The development of green finance indirectly leads to a decrease in carbon emissions by reducing financing constraints and boosting green technology innovation. In order to stimulate the carbon emission reduction effect of green finance to a greater extent, we should further support the development of green finance, reduce the financing constraints of energy-saving and environmental-protection enterprises, and encourage the research and development of green innovative technologies.

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Linkage Analysis between Finance and Environmental Protection Sectors in China: An Approach to Evaluating Green Finance

Cited by 15 publications

References 29 publications

An Empirical Test of Low-Carbon and Sustainable Financing’s Spatial Spillover Effect

An Empirical Test of Low-Carbon and Sustainable Financing’s Spatial Spillover Effect

The Spatial Heterogeneity Effect of Green Finance Development on Carbon Emissions

Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces

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