Does green finance improve carbon emission efficiency? Experimental evidence from China

Ran, Qiying; Liu, Lu; Razzaq, Asif; Meng, Yuxin; Yang, Xiaodong

doi:10.1007/s11356-023-25571-y

Cited by 31 publications

(22 citation statements)

References 67 publications

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“…Different distributions Bell divided the total effect into and indirect effects using a partial differential approach to overcome the problem of the quotient of the spatial econometric pattern being di cult to explain ). The average effect of a province's explanatory variables on the explained variables is represented by a direct effect, whereas the average effect of the province's explanatory variables on the explained variables of other provinces is represented by an indirect effect (Ran et al 2023). This shows that for each unit of change in these variables in the region, the explained variable ACEE in the region changes by 0.728, 0.128, and 2.588 units.…”

Section: Global Moran's I Indexmentioning

confidence: 95%

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

Wang,

Jiang,

Xue

et al. 2024

Preprint

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Studying the temporal and spatial features and ramifications of regional agricultural carbon emission efficiency (ACEE) under a "double carbon" target is very important. This study examined the ACEE of the Yangtze River Economic Belt (YEB) from 2001 to 2021 using a Super-efficiency model. Kernel density estimation and Moran's I index were used to analyze the ACEE value from time and space perspectives. A spatial Durbin model was trained to empirically investigate the driving forces and geographic spillover effects of ACEE. From a time perspective, the ACEE of YEB shows a fluctuating upward trend. The ACEE values of Jiangsu Province, Zhejiang Province, and Shanghai City were noticeably higher than the mean value of YEB. From the space perspective, the ACEE value is downstream > midstream > upstream, and the overall spatial distribution pattern of “east high and west low” is presented. The results of the spatial Durbin model show that the ACEE of YEB has a substantial positive knock-on impact. Elements like the mechanization level and agricultural industrial structure have a positive driving effect on the YEB ACEE, while pesticides have an inhibitory effect. These results indicated that giving advanced regions their due as radiation-leading regions, strengthening information communication between regions, and encouraging the overall coordinated development of the YEB ACEE are worthwhile recommendations for future improvements.

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Section: Global Moran's I Indexmentioning

confidence: 95%

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

Wang,

Jiang,

Xue

et al. 2024

Preprint

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“…Column (1) of Table 2 reports the regression results of the baseline regression, from which it can be seen that green finance can significantly reduce carbon emission intensity [45]. Urbanization, the share of secondary industry, and the total amount of imported and exported goods are positive but not significant, which is consistent with the empirical evidence that large amounts of resources flow to cities in the process of urbanization and that the intensification of the economic activities in cities, which are mainly based on rough development, causes serious environmental problems and results in increases in carbon emissions.…”

Section: Benchmark Regression and Mechanism Testingmentioning

confidence: 99%

Research on the Mechanism of the Carbon Emission Reduction Effect of Green Finance

Ma,

Fei

2024

Sustainability

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Under the background of China’s “double carbon” policy, determining how to use the carbon emission reduction effect of green finance is an important starting point for China to achieve stable economic development and sustainable ecological development. By integrating provincial data from the CEADS, EPS, CSMAR, and CNRDS databases from 2003 to 2021, the two-way fixed-effect models are used to empirically test how green finance can exert a carbon emission reduction effect. This study finds that green finance can significantly reduce carbon emission intensity. A mechanism analysis shows that green finance can promote green technology innovation, induce social investment, and promote the disclosure of the social responsibility information of listed companies to reduce carbon emissions, which is still valid after a series of robustness tests. A heterogeneity analysis finds that the government’s environmental attention and the scale of financial industry development have heterogeneous effects on the carbon emission reduction mechanism of green finance. Both the government’s environmental attention and the scale of financial industry development can induce social investment, but the government’s environmental attention cannot promote the growth of green technology innovation, and the scale of financial industry development cannot promote the disclosure of the social responsibility information of listed companies. This paper broadens the research perspective of green finance to reduce carbon emissions and provides some empirical evidence and a theoretical reference to further promote the green transformation of the “two high and one surplus” industry and the sustainable development of the financial industry.

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“…Many studies have studied how green funding affects green innovation and if it promotes sustainable technology. They've studied green bonds, green banking, and green finance reform laws, offering empirical evidence that financial incentives combined with green practices can stimulate environmental innovation [16,41,44,47,52,64,70,81,87,107,133,152,162].…”

Section: Green Finance and Innovationmentioning

confidence: 99%

Emerging new themes in green finance: a systematic literature review

Mudalige

2023

Futur Bus J

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There is a need for an extensive understanding of the emerging themes and trends within the domain of green finance, which is still evolving. By conducting a systematic literature review on green finance, the purpose of this study is to identify the emerging themes that have garnered significant attention over the past 12 years. In order to identify the emerging themes in green finance, bibliometric analysis was performed on 978 publications that were published between 2011 and 2023 and were taken from the databases of Scopus and Web of Science. The author examined annual scientific production, journal distribution, countries scientific production, most relevant authors, most frequent words, areas where empirical research is lacking, words' frequency over time, trend topics, and themes of green finance. The outcome of the review identified the following seven themes: (i) green finance and environmental sustainability; (ii) green finance and investments; (iii) green finance and innovation; (iv) green finance policy/green credit guidelines; (v) green finance and economy; (vi) green finance and corporate social responsibility; (vii)trends/challenges/barriers/awareness of green finance. The analysis of these emerging themes will contribute to the existing corpus of knowledge and provide valuable insights into the landscape of green finance as it evolves.

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Does green finance improve carbon emission efficiency? Experimental evidence from China

Cited by 31 publications

References 67 publications

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

Research on the Mechanism of the Carbon Emission Reduction Effect of Green Finance

Emerging new themes in green finance: a systematic literature review

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