An Empirical Analysis of the Impact of Digital Transformation on Corporate ESG: Based on Data Summaries of A-share Listed Companies in China
- DOI
- 10.2991/978-94-6463-888-2_23How to use a DOI?
- Keywords
- Digital transformation; ESG; Environmental; Social; Governance
- Abstract
In the context of the interweaving of global sustainable development and the digital wave, this paper focuses on the impact of corporate digital transformation on ESG performance and various dimensions. Based on the financial data of Chinese A-share publicly traded corporations from 2022 to 2024, using Sino-Securities Index (hereafter as ‘SNSI’) ratings and Wind sub-dimension scores as indicators, through regression analysis, it is found that: Digital transformation significantly positively promotes overall ESG performance, with a positive impact on the environmental (E) and social (S) dimensions, but a non-linear negative correlation with the governance (G) dimension. The study reveals the multi-dimensional correlation between the two, providing a reference for enterprises to balance digitalization and sustainable development.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jingyi Zhang AU - Xin Guan PY - 2025 DA - 2025/12/03 TI - An Empirical Analysis of the Impact of Digital Transformation on Corporate ESG: Based on Data Summaries of A-share Listed Companies in China BT - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025) PB - Atlantis Press SP - 227 EP - 244 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-888-2_23 DO - 10.2991/978-94-6463-888-2_23 ID - Zhang2025 ER -