Li Wenxin, Fan Ying
School of Economics &Management, China University of Petroleum (Beijing), Beijing, 102249, China.
School of Economics & Management, Beihang University, Beijing, 100191, China.
Environ Sci Pollut Res Int. 2023 Feb;30(8):20310-20326. doi: 10.1007/s11356-022-23523-6. Epub 2022 Oct 17.
Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, considering both spatial and temporal patterns. The results show the following: (1) The carbon emission intensity of each province in China shows a noticeable spatial spillover effect and a positive spatial correlation distribution of "high-high" and "low-low" agglomeration. (2) The development of green finance in China is interrelated but uneven in space, which presents a gradient strengthening trend from the west to the east. (3) Green finance development will curb the intensity of carbon emissions, and this effect has gradually been increasing over time and differs by region. Specifically, green finance will increase the carbon emission intensity of adjacent areas in the short term but will significantly reduce the local province's carbon emission intensity to a larger extent. Finally, it puts forward policy recommendations to promote the coordinated development of green finance and a low-carbon economy.
基于2011—2020年中国30个省份的面板数据,本文通过空间计量模型,兼顾空间和时间格局,实证检验了绿色金融对碳排放强度的直接效应、空间溢出效应和总效应。研究结果表明:(1)中国各省份的碳排放强度呈现出显著的空间溢出效应以及“高—高”和“低—低”集聚的正空间相关分布。(2)中国绿色金融发展存在空间关联但不均衡,呈现出从西向东梯度增强的趋势。(3)绿色金融发展会抑制碳排放强度,且这种效应随时间逐渐增强,存在区域差异。具体而言,绿色金融在短期内会提高相邻地区的碳排放强度,但会更大程度地显著降低本省的碳排放强度。最后,提出促进绿色金融与低碳经济协调发展的政策建议。