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绿色金融是否促进了中国的低碳经济转型?

Has green finance facilitated China's low-carbon economic transition?

机构信息

School of Economics and Trade, Henan University of Technology, Zhengzhou, 450001, China.

出版信息

Environ Sci Pollut Res Int. 2022 Aug;29(38):57502-57515. doi: 10.1007/s11356-022-19891-8. Epub 2022 Mar 30.

DOI:10.1007/s11356-022-19891-8
PMID:35353311
Abstract

The transformation of the traditional high-carbon economy to a low-carbon economy and the change in the economic development mode urgently require the transformation and development of traditional finance to green finance. This study examines the impact of green finance on the transition to a low-carbon economy in 30 Chinese provinces from 2001 to 2019 and further explores the role of low-carbon technological innovation in this facilitation process. We use the Global Malmquist- Luenberger index to measure low-carbon total factor productivity using gross regional product as the desired output, CO2 emissions as the undesired output, and capital stock, employment, and total energy consumption as input indicators to represent the low-carbon economic transition. We select seven indicators in four dimensions of green credit, green securities, green insurance, and green investment to construct a comprehensive green finance evaluation system, and then apply the entropy value method to calculate green finance indicators. The number of patents granted for low-carbon innovation is used to measure low-carbon technology innovation. Foreign direct investment, industrialization level, economic development level, and urbanization level are selected as control variables. Through panel data model, mediating effect model and 2SLS, we find that green finance can significantly contribute to the transformation of low-carbon economy, but this contribution decreases with the intervention of low-carbon technology innovation. The implications of our empirical results can help China to improve the development of green finance and thus promote the transformation and upgrading of a low-carbon economy.

摘要

传统高碳经济向低碳经济转型,经济发展方式迫切需要传统金融向绿色金融转变。本研究考察了 2001 年至 2019 年中国 30 个省份绿色金融对低碳经济转型的影响,并进一步探讨了低碳技术创新在这一促进过程中的作用。我们使用全局 Malmquist-Luenberger 指数来衡量低碳全要素生产率,以地区生产总值为期望产出,二氧化碳排放量为非期望产出,资本存量、就业和总能源消费为投入指标,代表低碳经济转型。我们选择绿色信贷、绿色证券、绿色保险和绿色投资四个维度的七个指标,构建了一个综合绿色金融评价体系,然后采用熵值法计算绿色金融指标。低碳创新专利申请数量用于衡量低碳技术创新。选择外国直接投资、工业化水平、经济发展水平和城市化水平作为控制变量。通过面板数据模型、中介效应模型和 2SLS,我们发现绿色金融可以显著促进低碳经济转型,但这种贡献随着低碳技术创新的介入而减少。我们实证结果的启示可以帮助中国提高绿色金融的发展,从而促进低碳经济的转型和升级。

相似文献

1
Has green finance facilitated China's low-carbon economic transition?绿色金融是否促进了中国的低碳经济转型?
Environ Sci Pollut Res Int. 2022 Aug;29(38):57502-57515. doi: 10.1007/s11356-022-19891-8. Epub 2022 Mar 30.
2
How does green technology innovation affect urbanization? An empirical study from provinces of China.绿色技术创新如何影响城市化?来自中国各省的实证研究。
Environ Sci Pollut Res Int. 2022 May;29(24):36626-36639. doi: 10.1007/s11356-021-18117-7. Epub 2022 Jan 22.
3
Influence of digital finance and green technology innovation on China's carbon emission efficiency: Empirical analysis based on spatial metrology.数字金融和绿色技术创新对中国碳排放效率的影响:基于空间计量的实证分析。
Sci Total Environ. 2022 Sep 10;838(Pt 3):156463. doi: 10.1016/j.scitotenv.2022.156463. Epub 2022 Jun 2.
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The Impact of Digital Economy on the Efficiency of Green Financial Investment in China's Provinces.数字经济对中国各省绿色金融投资效率的影响。
Int J Environ Res Public Health. 2022 Jul 21;19(14):8884. doi: 10.3390/ijerph19148884.
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Dynamic Impact of Technology and Finance on Green Technology Innovation Efficiency: Empirical Evidence from China's Provinces.技术与金融对绿色技术创新效率的动态影响:来自中国各省的经验证据。
Int J Environ Res Public Health. 2022 Apr 14;19(8):4764. doi: 10.3390/ijerph19084764.
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Can Digital Finance Promote Peak Carbon Dioxide Emissions? Evidence from China.数字金融能否促进二氧化碳排放峰值?来自中国的证据。
Int J Environ Res Public Health. 2022 Nov 1;19(21):14276. doi: 10.3390/ijerph192114276.
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Does green finance promote agricultural green total factor productivity? Considering green credit, green investment, green securities, and carbon finance in China.绿色金融是否促进农业绿色全要素生产率?基于中国绿色信贷、绿色投资、绿色证券和碳金融的考量。
Environ Sci Pollut Res Int. 2023 Mar;30(13):36663-36679. doi: 10.1007/s11356-022-24857-x. Epub 2022 Dec 23.
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Revisiting the Green Growth Effect of Foreign Direct Investment from the Perspective of Environmental Regulation: Evidence from China.重新审视环境规制视角下外国直接投资的绿色增长效应:来自中国的证据。
Int J Environ Res Public Health. 2023 Feb 1;20(3):2655. doi: 10.3390/ijerph20032655.
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Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China's Green Total Factor Productivity.探究绿色金融和数字经济对中国绿色全要素生产率影响的作用机制。
Int J Environ Res Public Health. 2022 Dec 5;19(23):16303. doi: 10.3390/ijerph192316303.
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Green finance: how can it help Chinese power enterprises transition towards carbon neutrality.绿色金融:它如何助力中国电力企业向碳中和转型。
Environ Sci Pollut Res Int. 2023 Apr;30(16):46336-46354. doi: 10.1007/s11356-023-25570-z. Epub 2023 Jan 31.

引用本文的文献

1
Green finance, green development and decarbonization of the energy consumption structure.绿色金融、绿色发展与能源消费结构脱碳。
PLoS One. 2024 Apr 5;19(4):e0300579. doi: 10.1371/journal.pone.0300579. eCollection 2024.
2
Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China's Green Total Factor Productivity.探究绿色金融和数字经济对中国绿色全要素生产率影响的作用机制。
Int J Environ Res Public Health. 2022 Dec 5;19(23):16303. doi: 10.3390/ijerph192316303.
3
The Effect of Green Finance on the Ecological and Environmental Quality of the Yangtze River Economic Belt.
绿色金融对长江经济带生态环境质量的影响。
Int J Environ Res Public Health. 2022 Sep 30;19(19):12492. doi: 10.3390/ijerph191912492.
4
Financial Measures to Reduce Carbon Emissions in Britain, Japan and the United States: A SWOT Analysis.英国、日本和美国减少碳排放的财务措施:SWOT 分析。
Int J Environ Res Public Health. 2022 Aug 29;19(17):10771. doi: 10.3390/ijerph191710771.
5
Green Finance Evaluation Based on Neural Network Model.基于神经网络模型的绿色金融评估。
Comput Intell Neurosci. 2022 Aug 17;2022:4803072. doi: 10.1155/2022/4803072. eCollection 2022.