School of Economics and Trade, Henan University of Technology, Zhengzhou, 450001, China.
Environ Sci Pollut Res Int. 2022 Aug;29(38):57502-57515. doi: 10.1007/s11356-022-19891-8. Epub 2022 Mar 30.
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.
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。