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ĭu M, Zhang R, Chai S, Li Q, Sun R, Chu W (2022) Can green finance policies stimulate technological innovation and financial performance? Evidence from Chinese listed green enterprises. Ĭhen X, Chan CK, Lee YCE (2016) Responsible production policies with substitution and carbon emissions trading. Ĭhang X, Li Y, Zhao Y, Liu W, Wu J (2017) Effects of carbon permits allocation methods on remanufacturing production decisions. Ĭao K, Xu X, Wu Q, Zhang Q (2017) Optimal production and carbon emission reduction level under cap-and-trade and low carbon subsidy policies. Ĭai R, Guo J (2021) Finance for the environment: a scientometrics analysis of green finance. īergset L (2015) The rationality and irrationality of financing green start-ups. Adm Sci 5(4):260–285. Based on the above findings, policy insights can be provided for the improvement of green finance pilot regions.Ībadie A, Diamond A, Hainmueller J (2010) Synthetic control methods for comparative case studies: estimating the effect of Californiads tobacco control program.
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Additionally, this paper analyzes the mechanism of policy effectiveness in terms of sci-tech innovation (STI) and energy consumption structure: green finance as a grip for economic transformation can provide financial support for regional STI and energy consumption structure upgrade and promote the capital flow to green low-energy industries, ultimately achieving sustainable economic development. (3) The samples were statistically significant and passed the placebo and ranking tests. (2) After the implementation of the pilot reform, the level of LCE development in Zhejiang, Jiangxi, Guangdong, and Guizhou provinces has a more significant enhancement effect, but the enhancement in Xinjiang is not significant, which indicates that the reform effect in Zhejiang, Jiangxi, Guangdong, and Guizhou is significantly better than that in Xinjiang to a certain extent. The empirical results show that (1) the synthetic analysis unit better fits the development trend before the implementation of the pilot. Based on the establishment of the first five pilot green finance zones in China in 2017 as a quasi-natural experiment, the synthetic control method (SCM) is applied to explore the impact of green finance policies on the level of LCE development and to analyze the mechanism and evaluate the policy effects. This paper constructs an LCE development index using panel data from 30 provinces in China from 2011 to 2020. Green finance is key in supporting industries’ green transformation and helping achieve low-carbon economic (LCE) development.
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