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The impact of green finance on the optimization of industrial structure: Evidence from China
Green finance promotes the optimization of industrial structure and continuous improvement of ecological environment by supporting the development of green industries. Based on the panel data of 30 provinces in China from 2012 to 2020, this paper uses the entropy weight TOPSIS method to measure the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414595/ https://www.ncbi.nlm.nih.gov/pubmed/37561725 http://dx.doi.org/10.1371/journal.pone.0289844 |
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author | Xiong, Xing Wang, Yuxing Liu, Bin He, Wenhong Yu, Xinghou |
author_facet | Xiong, Xing Wang, Yuxing Liu, Bin He, Wenhong Yu, Xinghou |
author_sort | Xiong, Xing |
collection | PubMed |
description | Green finance promotes the optimization of industrial structure and continuous improvement of ecological environment by supporting the development of green industries. Based on the panel data of 30 provinces in China from 2012 to 2020, this paper uses the entropy weight TOPSIS method to measure the development level of green finance and the level of industrial structure optimization in China, and constructs a panel data model to empirically test the impact of green finance on the upgrading of China’s industrial structure. The study finds that there is still an imbalance and insufficiency in the development of green finance and industrial structure optimization in China. From 2012 to 2020, the development level of green finance and the level of industrial structure optimization in China have been continuously rising, but there is obvious heterogeneity, showing an eastern>central>western spatial pattern. Empirical analysis results show that at the significance level of 1‰, the development of green finance has a significant promoting effect on the rationalization and upgrading of the industrial structure. However, there is significant heterogeneity in the impact of green finance on industrial structure optimization. In terms of regional heterogeneity, at the significance level of 1‰, the role of green finance in promoting the optimization of industrial structure in central and western China is higher than that in eastern China, and the impact of green finance on China’s industrial structure shows a spatial pattern of western>central>eastern China. In terms of industry heterogeneity, at the significance level of 1‰, green finance has a significant promoting effect on the development of green industries, and a significant inhibiting effect on the development of high-energy-consuming industries. Specifically, in the green industry, green finance has the greatest promoting effect on the communication and other electronic equipment manufacturing industry; in the high-energy-consuming industry, green finance has the greatest inhibiting effect on the black metal smelting and rolling processing industry, and the smallest impact on the petroleum, coal and other fuel processing industry. Finally, based on this, policy suggestions for green finance to support the optimization of industrial structure are proposed from two dimensions: government and financial institutions. |
format | Online Article Text |
id | pubmed-10414595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104145952023-08-11 The impact of green finance on the optimization of industrial structure: Evidence from China Xiong, Xing Wang, Yuxing Liu, Bin He, Wenhong Yu, Xinghou PLoS One Research Article Green finance promotes the optimization of industrial structure and continuous improvement of ecological environment by supporting the development of green industries. Based on the panel data of 30 provinces in China from 2012 to 2020, this paper uses the entropy weight TOPSIS method to measure the development level of green finance and the level of industrial structure optimization in China, and constructs a panel data model to empirically test the impact of green finance on the upgrading of China’s industrial structure. The study finds that there is still an imbalance and insufficiency in the development of green finance and industrial structure optimization in China. From 2012 to 2020, the development level of green finance and the level of industrial structure optimization in China have been continuously rising, but there is obvious heterogeneity, showing an eastern>central>western spatial pattern. Empirical analysis results show that at the significance level of 1‰, the development of green finance has a significant promoting effect on the rationalization and upgrading of the industrial structure. However, there is significant heterogeneity in the impact of green finance on industrial structure optimization. In terms of regional heterogeneity, at the significance level of 1‰, the role of green finance in promoting the optimization of industrial structure in central and western China is higher than that in eastern China, and the impact of green finance on China’s industrial structure shows a spatial pattern of western>central>eastern China. In terms of industry heterogeneity, at the significance level of 1‰, green finance has a significant promoting effect on the development of green industries, and a significant inhibiting effect on the development of high-energy-consuming industries. Specifically, in the green industry, green finance has the greatest promoting effect on the communication and other electronic equipment manufacturing industry; in the high-energy-consuming industry, green finance has the greatest inhibiting effect on the black metal smelting and rolling processing industry, and the smallest impact on the petroleum, coal and other fuel processing industry. Finally, based on this, policy suggestions for green finance to support the optimization of industrial structure are proposed from two dimensions: government and financial institutions. Public Library of Science 2023-08-10 /pmc/articles/PMC10414595/ /pubmed/37561725 http://dx.doi.org/10.1371/journal.pone.0289844 Text en © 2023 Xiong 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 Xiong, Xing Wang, Yuxing Liu, Bin He, Wenhong Yu, Xinghou The impact of green finance on the optimization of industrial structure: Evidence from China |
title | The impact of green finance on the optimization of industrial structure: Evidence from China |
title_full | The impact of green finance on the optimization of industrial structure: Evidence from China |
title_fullStr | The impact of green finance on the optimization of industrial structure: Evidence from China |
title_full_unstemmed | The impact of green finance on the optimization of industrial structure: Evidence from China |
title_short | The impact of green finance on the optimization of industrial structure: Evidence from China |
title_sort | impact of green finance on the optimization of industrial structure: evidence from china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414595/ https://www.ncbi.nlm.nih.gov/pubmed/37561725 http://dx.doi.org/10.1371/journal.pone.0289844 |
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