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数字包容性金融对环境污染的影响:以空气污染为例。

The impact of digital inclusive finance on environmental pollution: A case study of air pollution.

机构信息

UCSI Graduate Business School, University College Sedaya International, Kuala Lumpur, Malaysia.

School of Economics, Lanzhou University, Lanzhou, China.

出版信息

PLoS One. 2024 Jul 24;19(7):e0305963. doi: 10.1371/journal.pone.0305963. eCollection 2024.

Abstract

This study delves into the impact of digital inclusive finance on environmental pollution, with a specific focus on air pollution. Utilizing data from 265 Chinese cities, advanced econometric methods such as the bi-directional fixed effects model, threshold model, spatial Durbin model, and multi-period difference-in-differences model are employed, incorporating a variety of control variables. The empirical findings indicate that digital inclusive finance significantly reduces air pollution. This mechanism chiefly operates through enhancing public environmental consciousness and fostering green technological innovation. The study also uncovers the spatial spillover effect and non-linear characteristics of digital inclusive finance on air pollution, along with its interactive effects with specific policies (e.g., smart city pilot policies and the "major protection, no major development" initiative). Moreover, heterogeneity analysis reveals regional variations in the environmental effects of digital inclusive finance. These insights provide a novel perspective on the relationship between financial technology and environmental protection and offer crucial guidance for policymaking.

摘要

本研究深入探讨了数字包容性金融对环境污染的影响,特别是针对空气污染。利用来自 265 个中国城市的数据,采用双向固定效应模型、门槛模型、空间杜宾模型和多期差分模型等先进的计量经济学方法,并纳入了多种控制变量。实证结果表明,数字包容性金融显著降低了空气污染。这一机制主要通过增强公众的环境意识和促进绿色技术创新来实现。研究还揭示了数字包容性金融对空气污染的空间溢出效应和非线性特征,以及其与特定政策(如智慧城市试点政策和“大保护、小发展”倡议)的交互效应。此外,异质性分析揭示了数字包容性金融在环境效应方面的区域差异。这些研究结果为金融科技与环境保护之间的关系提供了新的视角,并为政策制定提供了重要的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9036/11268601/cf4cad5ce606/pone.0305963.g001.jpg

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