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Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China
Although the digital economy has become a new driving force for development worldwide, it is still unclear how digital economy development affects green total factor energy efficiency (GTFEE). Using panel data from 281 prefecture-level cities in China from 2003 to 2018, this study empirically analyz...
Autors principals: | , , , |
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Format: | Online Article Text |
Idioma: | English |
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Springer Berlin Heidelberg
2022
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Matèries: | |
Accés en línia: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419133/ https://www.ncbi.nlm.nih.gov/pubmed/36029445 http://dx.doi.org/10.1007/s11356-022-22694-6 |
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author | Zhao, Songqin Peng, Diyun Wen, Huwei Wu, Yizhong |
author_facet | Zhao, Songqin Peng, Diyun Wen, Huwei Wu, Yizhong |
author_sort | Zhao, Songqin |
collection | PubMed |
description | Although the digital economy has become a new driving force for development worldwide, it is still unclear how digital economy development affects green total factor energy efficiency (GTFEE). Using panel data from 281 prefecture-level cities in China from 2003 to 2018, this study empirically analyzes the effect of digital economy development on GTFEE by adopting a dynamic panel model, a mediation effect model, a dynamic threshold panel model, and a spatial Durbin model. The empirical results show that digital economy development has a significantly negative direct effect on GTFEE. The digital economy can impact GTFEE by the mechanisms of electrification, hollowing out of industrial scale, and hollowing out of industrial efficiency. Neither innovation nor environmental regulations significantly change this negative impact. The dynamic threshold panel model shows a nonlinear relationship between digital economy development and GTFEE, which indicates that the effect of digital economy development on GTFEE significantly inverts from negative to positive as the digital economy develops. In addition, GTFEE has a significantly positive spatial correlation, and the digital economy has a positive spatial spillover effect on GTFEE. |
format | Online Article Text |
id | pubmed-9419133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94191332022-08-30 Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China Zhao, Songqin Peng, Diyun Wen, Huwei Wu, Yizhong Environ Sci Pollut Res Int Low Emission Development Strategies and Sustainable Development Goals Although the digital economy has become a new driving force for development worldwide, it is still unclear how digital economy development affects green total factor energy efficiency (GTFEE). Using panel data from 281 prefecture-level cities in China from 2003 to 2018, this study empirically analyzes the effect of digital economy development on GTFEE by adopting a dynamic panel model, a mediation effect model, a dynamic threshold panel model, and a spatial Durbin model. The empirical results show that digital economy development has a significantly negative direct effect on GTFEE. The digital economy can impact GTFEE by the mechanisms of electrification, hollowing out of industrial scale, and hollowing out of industrial efficiency. Neither innovation nor environmental regulations significantly change this negative impact. The dynamic threshold panel model shows a nonlinear relationship between digital economy development and GTFEE, which indicates that the effect of digital economy development on GTFEE significantly inverts from negative to positive as the digital economy develops. In addition, GTFEE has a significantly positive spatial correlation, and the digital economy has a positive spatial spillover effect on GTFEE. Springer Berlin Heidelberg 2022-08-27 /pmc/articles/PMC9419133/ /pubmed/36029445 http://dx.doi.org/10.1007/s11356-022-22694-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 | Low Emission Development Strategies and Sustainable Development Goals Zhao, Songqin Peng, Diyun Wen, Huwei Wu, Yizhong Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
title | Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
title_full | Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
title_fullStr | Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
title_full_unstemmed | Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
title_short | Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
title_sort | nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in china |
topic | Low Emission Development Strategies and Sustainable Development Goals |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419133/ https://www.ncbi.nlm.nih.gov/pubmed/36029445 http://dx.doi.org/10.1007/s11356-022-22694-6 |
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