Digital Transformation and Corporate ESG Performance: Nonlinear Dynamics, Heterogeneous Effects, and Threshold Mechanisms
- DOI
- 10.2991/978-94-6239-830-6_27How to use a DOI?
- Keywords
- Digital transformation; ESG; Technological innovation; Labor share
- Abstract
Existing evidence on its relationship with ESG performance remains fragmented and contradictory. This ambiguity stems from three unresolved challenges: the potential nonlinearity of the effect, the differential responses across ESG sub-dimensions (Environmental, Social, and Governance), and the conditional nature of the gains depending on firm-specific endowments. To address these, this study utilizes data from Chinese A-share listed firms and applies quadratic and threshold regression models. The findings reveal a U-shaped nonlinear enhancement of overall ESG scores, driven by accelerating improvements in E and S dimensions, while governance scores decline linearly due to transition costs and institutional inertia. The effects are heterogeneous across firm types, regions, pollution intensity, and ownership, and are conditioned by profitability thresholds. This study reconciles prior conflicting evidence and provides policy insights for optimizing ESG outcomes through targeted digital strategies.
- Copyright
- © 2026 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 - Meng Liu AU - Linxin Guo AU - Tingqiang Chen PY - 2026 DA - 2026/11/14 TI - Digital Transformation and Corporate ESG Performance: Nonlinear Dynamics, Heterogeneous Effects, and Threshold Mechanisms BT - Proceedings of the 6th International Conference on Internet Finance and Digital Economy (ICIFDE 2026) PB - Atlantis Press SP - 320 EP - 328 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-830-6_27 DO - 10.2991/978-94-6239-830-6_27 ID - Liu2026 ER -