A Study on the Effects of Digital Finance on Green Low-Carbon Circular Development Based on Machine Learning Models
文献类型：期刊论文
| 作者 | Zhang, Xuewei3; Ai, Xiaoqing2; Wang, Xiaoxiang2; Zong, Gang2; Zhang, Jinghao |
| 刊名 | MATHEMATICS
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 11期号:18页码:3903 |
| 关键词 | DF GLCD machine learning double-carbon target |
| DOI | 10.3390/math11183903 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | With technological transformations such as big data, blockchain, artificial intelligence, and cloud computing, digital techniques are infiltrating the field of finance. Digital finance (DF) is a resource-saving and environmentally friendly innovative financial service. It shows great green attributes and can drive the flow of financial resources towards environmentally-friendly enterprises, thereby promoting green low-carbon circular development (GLCD). However, few studies have explored the coupling mechanism between DF and GLCD. To fill this gap, this paper explores the effect of DF on GLCD, and established a mediating effect model to investigate the mechanism of DF in promoting GLCD. Additionally, this paper established a random forest model and a CatBoost model based on machine learning to examine the relative importance of DF and the factors affecting GLCD. The results show that DF has significant positive effects on GLCD, and technological innovation plays a key role in the effect of DF on GLCD; meanwhile, the effect of DF on GLCD shows nonlinear features with an increasing marginal effect; moreover, both DF and conventional factors have significant impacts on GLCD. Our study highlights the effect of DF on GLCD and underscores the importance of developing policies for DF and GLCD. This study provides an empirical basis and path reference for DF to achieve carbon peak, carbon neutralization in China. |
| WOS关键词 | ECONOMIC-GROWTH ; ENERGY |
| WOS研究方向 | Mathematics |
| 出版者 | MDPI |
| WOS记录号 | WOS:001119219300001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201027]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Inner Mongolia Univ, Sch Econ & Management, Hohhot 010021, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xuewei,Ai, Xiaoqing,Wang, Xiaoxiang,et al. A Study on the Effects of Digital Finance on Green Low-Carbon Circular Development Based on Machine Learning Models[J]. MATHEMATICS,2023,11(18):3903. |
| APA | Zhang, Xuewei,Ai, Xiaoqing,Wang, Xiaoxiang,Zong, Gang,&Zhang, Jinghao.(2023).A Study on the Effects of Digital Finance on Green Low-Carbon Circular Development Based on Machine Learning Models.MATHEMATICS,11(18),3903. |
| MLA | Zhang, Xuewei,et al."A Study on the Effects of Digital Finance on Green Low-Carbon Circular Development Based on Machine Learning Models".MATHEMATICS 11.18(2023):3903. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。