Finance & Economics of Xinjiang ›› 2023, Vol. 0 ›› Issue (3): 29-35.DOI: 10.16716/j.cnki.65-1030/f.2023.03.003
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SONG Qinghua1, TAN Xiaoman2
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宋清华1, 谭晓熳2
作者简介:
基金资助:
Abstract:
At present, the scale of green credit ranks first in the world. Green credit is an important green financial product, which can affect the green transformation and upgrading of industrial structure through technological progress mechanism and squeezing out effect mechanism. Based on the regression analysis of the provincial panel data from 2011 to 2020 using the fixed effect model, it is found that green credit has a significant positive promoting effect on the green transformation and upgrading of China's industrial structure at the national level. From the perspective of different regions, the impact of green credit on the green transformation and upgrading of industrial structure in China's four major regions shows obvious regional heterogeneity. In the future, differentiated green credit policies, innovative green credit products, and incentive and constraint mechanisms of green credit should be implemented, so as to further promote the green transformation and upgrading of our industrial structure.
Key words: green credit, industrial structure, green transformation and upgrading, fixed effect regression model
摘要:
当前我国绿色信贷规模居世界首位,绿色信贷是重要的绿色金融产品,其可通过技术进步机制和挤出效应机制影响产业结构绿色转型升级。文章运用固定效应模型对2011—2020年我国省级面板数据进行回归分析,发现从全国层面来看绿色信贷对我国产业结构绿色转型升级具有显著的正向促进作用;分地区来看,绿色信贷对我国四大地区产业结构绿色转型升级的影响呈现明显的区域异质性。今后应实施差异化绿色信贷政策、创新绿色信贷产品、完善绿色信贷的激励和约束机制,从而进一步推动我国产业结构绿色转型升级。
关键词: 绿色信贷, 产业结构, 绿色转型升级, 固定效应回归模型
CLC Number:
F832.4
SONG Qinghua, TAN Xiaoman. Can Green Credit Promote the Green Transformation and Upgrading of Industrial Structure?—An Analysis Based on Provincial Panel Data in China[J]. Finance & Economics of Xinjiang, 2023, 0(3): 29-35.
宋清华, 谭晓熳. 绿色信贷能推动产业结构绿色转型升级吗?——基于我国省级面板数据的实证研究[J]. 新疆财经, 2023, 0(3): 29-35.
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URL: https://bjb.xjufe.edu.cn/EN/10.16716/j.cnki.65-1030/f.2023.03.003
https://bjb.xjufe.edu.cn/EN/Y2023/V0/I3/29