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Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences
As the emergence of digital finance is relatively short, research results on digital finance mainly focus on products, services, coverage, policies, etc. The mechanism and role of digital finance in influencing green development are still lacking attention. In the above context, this paper used spat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779259/ https://www.ncbi.nlm.nih.gov/pubmed/36554819 http://dx.doi.org/10.3390/ijerph192416940 |
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author | Zhuang, Rulong Mi, Kena Zhi, Menglu Zhang, Chaoyang |
author_facet | Zhuang, Rulong Mi, Kena Zhi, Menglu Zhang, Chaoyang |
author_sort | Zhuang, Rulong |
collection | PubMed |
description | As the emergence of digital finance is relatively short, research results on digital finance mainly focus on products, services, coverage, policies, etc. The mechanism and role of digital finance in influencing green development are still lacking attention. In the above context, this paper used spatial analysis methods to describe spatiotemporal characteristics in detail, and empirically tested the mechanism and path of digital finance affecting green development through spatial econometric models and intermediary models. The results showed that: (1) During the study period, digital finance and green development have been improved to varying degrees, but the inter-provincial differences are still obvious. (2) The spatial trends of digital finance and green development are similar, and the overall performance is “high in the east, low in the west, high in the south, and low in the north”. (3) The empirical tests found that digital finance is an effective force to reduce energy consumption per unit of GDP and improve the level of green development. It validates Hypothesis 1. Meanwhile, the Heterogeneity effect is noteworthy due to different regions, types, and levels. (4) The promotion of green development by digital finance is mainly concentrated in the local region and has not yet shown a significant green spillover effect for surrounding areas. It validates Hypothesis 2. (5) Energy structure, industrial upgrading, and technological progress are three paths for digital finance affecting green development. Hypothesis 3 is verified. Finally, the innovation of this paper lies in the design of the research framework, diversity of research methods, and policy implications. The main contribution is to enrich and expand the environmental finance theory and provide detailed empirical evidence. In addition, we put forward effective measures and suggestions including local governments, financial institutions, and enterprises based on the empirical results. Local governments should pay attention to policy implementation and operation effects, financial institutions constantly need to strengthen the supply of advanced digital financial products and services, and enterprises should attach importance to the use of digital financial tools to achieve green and low-carbon development in the future. |
format | Online Article Text |
id | pubmed-9779259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97792592022-12-23 Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences Zhuang, Rulong Mi, Kena Zhi, Menglu Zhang, Chaoyang Int J Environ Res Public Health Article As the emergence of digital finance is relatively short, research results on digital finance mainly focus on products, services, coverage, policies, etc. The mechanism and role of digital finance in influencing green development are still lacking attention. In the above context, this paper used spatial analysis methods to describe spatiotemporal characteristics in detail, and empirically tested the mechanism and path of digital finance affecting green development through spatial econometric models and intermediary models. The results showed that: (1) During the study period, digital finance and green development have been improved to varying degrees, but the inter-provincial differences are still obvious. (2) The spatial trends of digital finance and green development are similar, and the overall performance is “high in the east, low in the west, high in the south, and low in the north”. (3) The empirical tests found that digital finance is an effective force to reduce energy consumption per unit of GDP and improve the level of green development. It validates Hypothesis 1. Meanwhile, the Heterogeneity effect is noteworthy due to different regions, types, and levels. (4) The promotion of green development by digital finance is mainly concentrated in the local region and has not yet shown a significant green spillover effect for surrounding areas. It validates Hypothesis 2. (5) Energy structure, industrial upgrading, and technological progress are three paths for digital finance affecting green development. Hypothesis 3 is verified. Finally, the innovation of this paper lies in the design of the research framework, diversity of research methods, and policy implications. The main contribution is to enrich and expand the environmental finance theory and provide detailed empirical evidence. In addition, we put forward effective measures and suggestions including local governments, financial institutions, and enterprises based on the empirical results. Local governments should pay attention to policy implementation and operation effects, financial institutions constantly need to strengthen the supply of advanced digital financial products and services, and enterprises should attach importance to the use of digital financial tools to achieve green and low-carbon development in the future. MDPI 2022-12-16 /pmc/articles/PMC9779259/ /pubmed/36554819 http://dx.doi.org/10.3390/ijerph192416940 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhuang, Rulong Mi, Kena Zhi, Menglu Zhang, Chaoyang Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences |
title | Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences |
title_full | Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences |
title_fullStr | Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences |
title_full_unstemmed | Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences |
title_short | Digital Finance and Green Development: Characteristics, Mechanisms, and Empirical Evidences |
title_sort | digital finance and green development: characteristics, mechanisms, and empirical evidences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779259/ https://www.ncbi.nlm.nih.gov/pubmed/36554819 http://dx.doi.org/10.3390/ijerph192416940 |
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