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The impact of digital transformation on green total factor productivity of heavily polluting enterprises
INTRODUCTION: Digital transformation has become an important engine for economic high-quality development and environment high-level protection. However, green total factor productivity (GTFP), as an indicator that comprehensively reflects economic and environmental benefits, there is a lack of stud...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655087/ https://www.ncbi.nlm.nih.gov/pubmed/38022923 http://dx.doi.org/10.3389/fpsyg.2023.1265391 |
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author | Han, Jiabin Sun, Ruyu Zeeshan, Muhammad Rehman, Alam Ullah, Irfan |
author_facet | Han, Jiabin Sun, Ruyu Zeeshan, Muhammad Rehman, Alam Ullah, Irfan |
author_sort | Han, Jiabin |
collection | PubMed |
description | INTRODUCTION: Digital transformation has become an important engine for economic high-quality development and environment high-level protection. However, green total factor productivity (GTFP), as an indicator that comprehensively reflects economic and environmental benefits, there is a lack of studies that analyze the effect of digital transformation on heavily polluting enterprises’ GTFP from a micro perspective, and its impact mechanism is still unclear. Therefore, we aim to study the impact of digital transformation on heavily polluting enterprises’ GTFP and its mechanism, and explore the heterogeneity of its impact. METHODS: We use Chinese A-share listed enterprises in the heavily polluting industry data from 2007 to 2019, measure enterprise digital transformation indicator using text analysis, and measure enterprise GTFP indicator using the GML index based on SBM directional distance function, to investigate the impact of digital transformation on heavily polluting enterprises’ GTFP. RESULTS: Digital transformation can significantly enhance heavily polluting enterprises’ GTFP, and this finding still holds after considering the endogenous problem and conducting robustness tests. Digital transformation can enhance heavily polluting enterprises’ GTFP by promoting green innovation, improving management efficiency, and reducing external transaction costs. The improvement role of digital transformation on heavily polluting enterprises’ GTFP is more obvious in the samples of non-state-owned enterprises, non-high-tech industries, and the eastern region. Compared with blockchain technology, artificial intelligence technology, cloud computing technology, big data technology, and digital technology application can significantly improve heavily polluting enterprises’ GTFP. DISCUSSION: Our paper breaks through the limitations of existing research, which not only theoretically enriches the literature related to digital transformation and GTFP, but also practically provides policy implications for continuously promoting heavily polluting enterprises’ digital transformation and facilitating their high-quality development. |
format | Online Article Text |
id | pubmed-10655087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106550872023-11-03 The impact of digital transformation on green total factor productivity of heavily polluting enterprises Han, Jiabin Sun, Ruyu Zeeshan, Muhammad Rehman, Alam Ullah, Irfan Front Psychol Psychology INTRODUCTION: Digital transformation has become an important engine for economic high-quality development and environment high-level protection. However, green total factor productivity (GTFP), as an indicator that comprehensively reflects economic and environmental benefits, there is a lack of studies that analyze the effect of digital transformation on heavily polluting enterprises’ GTFP from a micro perspective, and its impact mechanism is still unclear. Therefore, we aim to study the impact of digital transformation on heavily polluting enterprises’ GTFP and its mechanism, and explore the heterogeneity of its impact. METHODS: We use Chinese A-share listed enterprises in the heavily polluting industry data from 2007 to 2019, measure enterprise digital transformation indicator using text analysis, and measure enterprise GTFP indicator using the GML index based on SBM directional distance function, to investigate the impact of digital transformation on heavily polluting enterprises’ GTFP. RESULTS: Digital transformation can significantly enhance heavily polluting enterprises’ GTFP, and this finding still holds after considering the endogenous problem and conducting robustness tests. Digital transformation can enhance heavily polluting enterprises’ GTFP by promoting green innovation, improving management efficiency, and reducing external transaction costs. The improvement role of digital transformation on heavily polluting enterprises’ GTFP is more obvious in the samples of non-state-owned enterprises, non-high-tech industries, and the eastern region. Compared with blockchain technology, artificial intelligence technology, cloud computing technology, big data technology, and digital technology application can significantly improve heavily polluting enterprises’ GTFP. DISCUSSION: Our paper breaks through the limitations of existing research, which not only theoretically enriches the literature related to digital transformation and GTFP, but also practically provides policy implications for continuously promoting heavily polluting enterprises’ digital transformation and facilitating their high-quality development. Frontiers Media S.A. 2023-11-03 /pmc/articles/PMC10655087/ /pubmed/38022923 http://dx.doi.org/10.3389/fpsyg.2023.1265391 Text en Copyright © 2023 Han, Sun, Zeeshan, Rehman and Ullah. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Han, Jiabin Sun, Ruyu Zeeshan, Muhammad Rehman, Alam Ullah, Irfan The impact of digital transformation on green total factor productivity of heavily polluting enterprises |
title | The impact of digital transformation on green total factor productivity of heavily polluting enterprises |
title_full | The impact of digital transformation on green total factor productivity of heavily polluting enterprises |
title_fullStr | The impact of digital transformation on green total factor productivity of heavily polluting enterprises |
title_full_unstemmed | The impact of digital transformation on green total factor productivity of heavily polluting enterprises |
title_short | The impact of digital transformation on green total factor productivity of heavily polluting enterprises |
title_sort | impact of digital transformation on green total factor productivity of heavily polluting enterprises |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655087/ https://www.ncbi.nlm.nih.gov/pubmed/38022923 http://dx.doi.org/10.3389/fpsyg.2023.1265391 |
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