Research on the Effect and Mechanism of Digital Transformation on The Green Total Factor Productivity of Enterprises

This paper investigates the impact of digital transformation on firms' green total factor productivity (GTFP) and its mechanism. Based on the data of Chinese A-share listed companies in Shanghai and Shenzhen from 2007 to 2022, this paper finds through empirical model analysis that digital transformation has a positive contribution to corporate green total factor productivity. The findings show that digital transformation significantly enhances firms' green total factor productivity, and this conclusion remains robust after considering endogeneity issues. In addition, this paper finds that equity concentration has a negative moderating effect on the relationship between digital transformation and green total factor productivity, suggesting that excessive equity concentration may be detrimental to the enhancement of firms' green productivity. Based on the findings, this paper proposes that the government should formulate supportive policies, strengthen policy guidance and improve regulatory mechanisms to promote the synergistic promotion of digital transformation and green development of enterprises. The findings provide theoretical support and practical guidance for enterprises to achieve green sustainable development in the process of digital transformation.

Authors

Institutions

Publication Details

Journal
International journal of education and social development.
Published
2025-09-22
DOI
https://doi.org/10.54097/6nwj4p36
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Effect and Mechanism of Digital Transformation on The Green Total Factor Productivity of Enterprises

Dong Yang
International journal of education and social development.
Economic and Technological Developments in Russia
article

Research on the Effect and Mechanism of Digital Transformation on The Green Total Factor Productivity of Enterprises

Dong Yang
article en

Abstract

This paper investigates the impact of digital transformation on firms' green total factor productivity (GTFP) and its mechanism. Based on the data of Chinese A-share listed companies in Shanghai and Shenzhen from 2007 to 2022, this paper finds through empirical model analysis that digital transformation has a positive contribution to corporate green total factor productivity. The findings show that digital transformation significantly enhances firms' green total factor productivity, and this conclusion remains robust after considering endogeneity issues. In addition, this paper finds that equity concentration has a negative moderating effect on the relationship between digital transformation and green total factor productivity, suggesting that excessive equity concentration may be detrimental to the enhancement of firms' green productivity. Based on the findings, this paper proposes that the government should formulate supportive policies, strengthen policy guidance and improve regulatory mechanisms to promote the synergistic promotion of digital transformation and green development of enterprises. The findings provide theoretical support and practical guidance for enterprises to achieve green sustainable development in the process of digital transformation.

International journal of education and social development.Vol. 4(2)
Chongqing University of Science and Technology (CN), Chongqing University of Technology (CN)
Chongqing University, Chongqing University of Science and Technology, Division of Graduate Education
Openalex Percentile: Top 47%
Economic and Technological Developments in Russia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.