| 摘要: |
| 摘 要：明晰绿色金融影响碳中和的实现路径、量化评价我国绿色金融对碳排放的影响对更好地实现政府目标、实现碳市场的经济效益有着重要意义。本文利用2011－2020年的样本数据建立VAR模型研究绿色信贷、绿色证券和绿色投资对碳排放强度的动态影响。研究发现：绿色信贷、绿色证券和绿色投资对碳排放强度会在不同时期开始产生抑制作用，绿色投资发挥抑制效果速度快，但贡献度不足5%，且当期投资不会产生较长期的作用；绿色信贷和绿色证券产生作用速度较慢，但具有深远意义，绿色信贷对降低碳排放强度的贡献度最高在10%以上，而绿色证券不足0.5%，绿色证券的发展还远远不够。因此，应注重各融资手段的协调发展、创新绿色金融产品等来促进绿色金融的发展，以更快地实现碳中和目标。 |
| 关键词: 关键词：绿色金融；绿色溢价；碳排放强度；VAR模型 |
| DOI： |
| 分类号:F823.7 |
| 基金项目:基金项目：国家自然科学基金项目“基于帮助博弈模型的社会合作演化机制研究”（71201129）；教育部直属高校基本科研业务费“银行间信贷网络的形成机制及系统性风险研究”（XDJK2016B008）。 |
|
| Research on the Impact of Green Finance on Carbon Emissions |
|
YU Tong-kui1,2，HUANG Jing-di11,2
|
|
1.School of Economics and Management,Southwest University;2..Institute of Intelligent Finance and Digital Economy,Southwest University)
|
| Abstract: |
| Abstract：Clarifying the realization path of the impact of Green Finance on carbon neutralization and quantitatively evaluating the impact of China’s Green Finance on carbon emissions are of great significance to better achieve the government’s objectives and realize the economic benefits of the carbon market.Using the data from 2011 to 2020,this paper establishes a VAR model to study the dynamic impact of green credit,green securities and green investment on carbon emission intensity.It is found that green credit,green securities and green investment will begin to inhibit carbon emission intensity in different periods.Green investment has a fast inhibitory effect,but the contribution is less than 5%,and the current investment will not have a long-term effect;The role of green credit and green securities is slow,but it has far-reaching significance.The contribution of green credit to carbon emission reduction is up to more than 10%,while green securities is less than 0.5%.The development of green securities is far from enough.Therefore,we should pay attention to the coordinated development of various financing means and innovate green financial products to promote the development of green finance,so as to achieve the goal of carbon neutrality faster. |
| Key words: Key words： Green Finance;Green premium;Carbon Emission Intensity;VAR Model |
