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Can digital finance reduce industrial pollution? New evidence from 260 cities in China

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 st...

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Autores principales: Wen, Hongmei, Yue, Jingliang, Li, Jian, Xiu, Xuedan, Zhong, Shen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009666/
https://www.ncbi.nlm.nih.gov/pubmed/35421146
http://dx.doi.org/10.1371/journal.pone.0266564
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author Wen, Hongmei
Yue, Jingliang
Li, Jian
Xiu, Xuedan
Zhong, Shen
author_facet Wen, Hongmei
Yue, Jingliang
Li, Jian
Xiu, Xuedan
Zhong, Shen
author_sort Wen, Hongmei
collection PubMed
description 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.
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spelling pubmed-90096662022-04-15 Can digital finance reduce industrial pollution? New evidence from 260 cities in China Wen, Hongmei Yue, Jingliang Li, Jian Xiu, Xuedan Zhong, Shen PLoS One Research Article 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. Public Library of Science 2022-04-14 /pmc/articles/PMC9009666/ /pubmed/35421146 http://dx.doi.org/10.1371/journal.pone.0266564 Text en © 2022 Wen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wen, Hongmei
Yue, Jingliang
Li, Jian
Xiu, Xuedan
Zhong, Shen
Can digital finance reduce industrial pollution? New evidence from 260 cities in China
title Can digital finance reduce industrial pollution? New evidence from 260 cities in China
title_full Can digital finance reduce industrial pollution? New evidence from 260 cities in China
title_fullStr Can digital finance reduce industrial pollution? New evidence from 260 cities in China
title_full_unstemmed Can digital finance reduce industrial pollution? New evidence from 260 cities in China
title_short Can digital finance reduce industrial pollution? New evidence from 260 cities in China
title_sort can digital finance reduce industrial pollution? new evidence from 260 cities in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009666/
https://www.ncbi.nlm.nih.gov/pubmed/35421146
http://dx.doi.org/10.1371/journal.pone.0266564
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