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The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model
Green finance is an essential way to cope with environmental pollution, promote the transformation of industrial structure and upgrade, and finally construct a resource-conserving and environment-friendly society and achieve the goal of sustainable development. This study explores the influence of g...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817661/ https://www.ncbi.nlm.nih.gov/pubmed/35122646 http://dx.doi.org/10.1007/s11356-022-18732-y |
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author | Gao, Lintong Tian, Qibo Meng, Fei |
author_facet | Gao, Lintong Tian, Qibo Meng, Fei |
author_sort | Gao, Lintong |
collection | PubMed |
description | Green finance is an essential way to cope with environmental pollution, promote the transformation of industrial structure and upgrade, and finally construct a resource-conserving and environment-friendly society and achieve the goal of sustainable development. This study explores the influence of green finance on industrial reasonability and is based on sample data of 30 provinces in China from 2009 to 2019. Through the application of the spatial panel Durbin model with the weight matrix based on the geographical distance, the influence of green finance on the industrial structure as well as its spatial spillover effects are analyzed. The degree of industrial reasonability and the index of green finance development are also examined by applying the Theil index and the entropy method. The empirical results demonstrate two things. First, there is a strong aggregation of the spatial distribution of industrial reasonability, and the spatial pattern remains relatively constant over the 11 years. The main aggregated types are the H–H and L-L between the regions. Second, green finance can promote the industrial reasonability of this region, while it has a significant negative spatial spillover effect on the process of industrial reasonability in adjacent regions. |
format | Online Article Text |
id | pubmed-8817661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88176612022-02-07 The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model Gao, Lintong Tian, Qibo Meng, Fei Environ Sci Pollut Res Int Green Finance and Low-Carbon Economic Recovery in the Post COVID-19 World Green finance is an essential way to cope with environmental pollution, promote the transformation of industrial structure and upgrade, and finally construct a resource-conserving and environment-friendly society and achieve the goal of sustainable development. This study explores the influence of green finance on industrial reasonability and is based on sample data of 30 provinces in China from 2009 to 2019. Through the application of the spatial panel Durbin model with the weight matrix based on the geographical distance, the influence of green finance on the industrial structure as well as its spatial spillover effects are analyzed. The degree of industrial reasonability and the index of green finance development are also examined by applying the Theil index and the entropy method. The empirical results demonstrate two things. First, there is a strong aggregation of the spatial distribution of industrial reasonability, and the spatial pattern remains relatively constant over the 11 years. The main aggregated types are the H–H and L-L between the regions. Second, green finance can promote the industrial reasonability of this region, while it has a significant negative spatial spillover effect on the process of industrial reasonability in adjacent regions. Springer Berlin Heidelberg 2022-02-05 2023 /pmc/articles/PMC8817661/ /pubmed/35122646 http://dx.doi.org/10.1007/s11356-022-18732-y Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Green Finance and Low-Carbon Economic Recovery in the Post COVID-19 World Gao, Lintong Tian, Qibo Meng, Fei The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model |
title | The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model |
title_full | The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model |
title_fullStr | The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model |
title_full_unstemmed | The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model |
title_short | The impact of green finance on industrial reasonability in China: empirical research based on the spatial panel Durbin model |
title_sort | impact of green finance on industrial reasonability in china: empirical research based on the spatial panel durbin model |
topic | Green Finance and Low-Carbon Economic Recovery in the Post COVID-19 World |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817661/ https://www.ncbi.nlm.nih.gov/pubmed/35122646 http://dx.doi.org/10.1007/s11356-022-18732-y |
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