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Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China

In this study, the entropy method and the Super-SBM model with unexpected output are used at first to calculate the digital economy development index and the level of green transformation in manufacturing. Then, a range of multi-dimensional empirical methods, including fixed effects models, threshol...

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Detalles Bibliográficos
Autores principales: Jia, Chunjie, Shang, Meng, Cao, Junwei, Liu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446184/
https://www.ncbi.nlm.nih.gov/pubmed/37611045
http://dx.doi.org/10.1371/journal.pone.0289968
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author Jia, Chunjie
Shang, Meng
Cao, Junwei
Liu, Yu
author_facet Jia, Chunjie
Shang, Meng
Cao, Junwei
Liu, Yu
author_sort Jia, Chunjie
collection PubMed
description In this study, the entropy method and the Super-SBM model with unexpected output are used at first to calculate the digital economy development index and the level of green transformation in manufacturing. Then, a range of multi-dimensional empirical methods, including fixed effects models, threshold models, and mediation models, are applied to analyze the characteristics shown by the impact of digital economy development on the green transformation of manufacturing. The research results are obtained as follows. Firstly, the digital economy contributes significantly to promoting the green transformation of manufacturing after excluding the macro-system environmental effects, conducting such robustness tests as stepwise regression and introducing instrumental variables. Secondly, there is a nonlinear relationship between the development of the digital economy and the green transformation of manufacturing with an increasing marginal effect. Lastly, it is revealed through mechanism analysis that the digital economy promotes the green transformation of manufacturing by enhancing the capabilities of green technological innovation and rationalizing industrial upgrading, with the partial mediation effects reaching 21.2% and 21.8%, respectively. Despite the contribution of digital economy to the advanced upgrading of industries, there is no mediation effect exhibited. In addition to confirming the path of achieving the green transformation of manufacturing through the digital economy, these results also guide the government on how policies can be formulated and improved to grow the digital economy and promote the green transformation of manufacturing.
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spelling pubmed-104461842023-08-24 Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China Jia, Chunjie Shang, Meng Cao, Junwei Liu, Yu PLoS One Research Article In this study, the entropy method and the Super-SBM model with unexpected output are used at first to calculate the digital economy development index and the level of green transformation in manufacturing. Then, a range of multi-dimensional empirical methods, including fixed effects models, threshold models, and mediation models, are applied to analyze the characteristics shown by the impact of digital economy development on the green transformation of manufacturing. The research results are obtained as follows. Firstly, the digital economy contributes significantly to promoting the green transformation of manufacturing after excluding the macro-system environmental effects, conducting such robustness tests as stepwise regression and introducing instrumental variables. Secondly, there is a nonlinear relationship between the development of the digital economy and the green transformation of manufacturing with an increasing marginal effect. Lastly, it is revealed through mechanism analysis that the digital economy promotes the green transformation of manufacturing by enhancing the capabilities of green technological innovation and rationalizing industrial upgrading, with the partial mediation effects reaching 21.2% and 21.8%, respectively. Despite the contribution of digital economy to the advanced upgrading of industries, there is no mediation effect exhibited. In addition to confirming the path of achieving the green transformation of manufacturing through the digital economy, these results also guide the government on how policies can be formulated and improved to grow the digital economy and promote the green transformation of manufacturing. Public Library of Science 2023-08-23 /pmc/articles/PMC10446184/ /pubmed/37611045 http://dx.doi.org/10.1371/journal.pone.0289968 Text en © 2023 Jia 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
Jia, Chunjie
Shang, Meng
Cao, Junwei
Liu, Yu
Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China
title Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China
title_full Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China
title_fullStr Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China
title_full_unstemmed Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China
title_short Empirical analysis of the impact of the digital economy on the green transformation of manufacturing: Evidence from China
title_sort empirical analysis of the impact of the digital economy on the green transformation of manufacturing: evidence from china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446184/
https://www.ncbi.nlm.nih.gov/pubmed/37611045
http://dx.doi.org/10.1371/journal.pone.0289968
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