您好，欢迎访问中国农业科学院 机构知识库！

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

How the impact and mechanisms of digital financial inclusion on agricultural carbon emission intensity: new evidence from a double machine learning model

文献类型： 外文期刊

作者： Zheng, Fengtian 1 ; Chen, Siyu 1 ; Wang, Xizhao 2 ;

作者机构： 1.Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing, Peoples R China

2.Chinese Acad Agr Sci, Inst Agr Econ & Dev, Beijing, Peoples R China

关键词： digital financial inclusion; double machine learning (DML); carbon emission intensity (CEI); impact mechanisms; green transformation

期刊名称：FRONTIERS IN ENVIRONMENTAL SCIENCE （ 影响因子：3.7； 五年影响因子：4.1 ）

ISSN：

年卷期： 2025 年 13 卷

页码：

收录情况： SCI

摘要： The advancement of the digital economy is vital for decreasing agricultural carbon emissions and fostering high-quality agricultural development. Using panel data from 31 Chinese provinces between 2000 and 2021, this paper employs a dual machine learning model for causal inference to analyze the impact of digital financial inclusion on agricultural carbon emissions intensity, its underlying mechanisms, and the characteristics of heterogeneity. The study finds that digital inclusive finance significantly reduces agricultural carbon intensity through two main channels: enhancing scientific and technological innovation and narrowing the urban-rural income gap. Additionally, the expansion of arable land management and the acceleration of economic structural transformation positively moderate these effects. These conclusions remain robust after a series of robustness tests. Further combining factors such as resource endowment, geographic location, economic concentration, and food production areas in the heterogeneity test, the study found that regional differences significantly influence the effect of financial inclusion on agricultural carbon intensity. Therefore, it is essential to enhance the development of inclusive finance, break down regional barriers to promote synergistic development, actively support economic transformation and large-scale operations, strengthen scientific and technological innovation, and narrow the urban-rural income gap to support China's agricultural green transformation.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台