School of Finance, Harbin University of Commerce, Harbin, Heilongjiang, PR China.
Harbin Finance University, Harbin, Heilongjiang, PR China.
PLoS One. 2022 Apr 14;17(4):e0266564. doi: 10.1371/journal.pone.0266564. eCollection 2022.
Industrial pollution reduction is a crucial issue in the pursuit of sustainable economic and environmental development. As a product of the deep integration of traditional finance and Internet information technology, digital finance has become an effective tool for regulating the use of funds and strengthening the effectiveness of policies in the context of the digital era, which has obvious effects on industrial pollution emissions. Using panel data of 260 prefecture-level cities in China from 2011-2019 and the digital inclusive finance index jointly compiled by Peking University and Ant Financial Services Group, this paper empirically analyzes the impact of digital finance on industrial pollution emissions through fixed effects model, mediating effects model and threshold effects model. The empirical results show that digital finance can effectively reduce industrial pollution and part of the impact is achieved through industrial structure. In the process of reducing industrial pollution by digital finance, there exists double threshold effects. When the development of digital finance breaks the threshold value, the industrial pollution emission reduction effect appears to accelerate. Finally, this paper puts forward targeted suggestions to promote industrial pollution reduction and environmental economic development.
工业污染减排是追求可持续经济和环境发展的关键问题。数字金融作为传统金融与互联网信息技术深度融合的产物,在数字时代背景下成为了规范资金使用、加强政策效力的有效工具,对工业污染排放具有明显的抑制作用。本文利用 2011-2019 年中国 260 个地级市的面板数据以及北京大学和蚂蚁金服集团共同编制的数字包容性金融指数,通过固定效应模型、中介效应模型和门槛效应模型,实证分析了数字金融对工业污染排放的影响。实证结果表明,数字金融能够有效降低工业污染,部分影响是通过产业结构实现的。在数字金融降低工业污染的过程中,存在双重门槛效应,当数字金融发展突破门槛值时,工业污染减排效果呈现出加速趋势。最后,本文提出了有针对性的建议,以促进工业污染减排和环境经济发展。