Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Jiabin, Sun, Ruyu, Zeeshan, Muhammad, Rehman, Alam, Ullah, Irfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
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
_version_ 1785136749236715520
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
work_keys_str_mv AT hanjiabin theimpactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT sunruyu theimpactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT zeeshanmuhammad theimpactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT rehmanalam theimpactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT ullahirfan theimpactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT hanjiabin impactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT sunruyu impactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT zeeshanmuhammad impactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT rehmanalam impactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises
AT ullahirfan impactofdigitaltransformationongreentotalfactorproductivityofheavilypollutingenterprises