How effective is digital transformation? Heterogeneous insights from listed companies' ESG performance

被引:0
|
作者
Xie, Xiangwei [1 ]
Zhu, Hongyu [1 ]
Zhao, Jinjing [2 ,3 ]
机构
[1] Southwest Univ, Sch Business, Chongqing 402460, Peoples R China
[2] Northeastern Univ, Sch Adm, Shenyang 110167, Peoples R China
[3] Northeastern Univ Qinhuangdao, Sch Econ, Qinhuangdao 066004, Peoples R China
来源
关键词
FIRM VALUE; SOCIAL-RESPONSIBILITY; CORPORATE GOVERNANCE; INNOVATION; IMPACT; SUSTAINABILITY;
D O I
10.1057/s41599-024-04039-5
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The study empirically examines the impact of firm digital transformation (DT) on the performance of Chinese-listed enterprises in the areas of environmental, social, and governance (ESG) from 2013 to 2022. We utilized OLS, IV 2SLS causal mediating effect, and moderating effect models to analyze the linkages and deep mechanisms between corporate DT and ESG performance. The empirical findings demonstrate that (i) DT has an effectively positive effect on the performance of firms' ESG; (ii) DT enhances firms' ESG performance by enhancing information transparency (TRANS), fostering green innovation (Green), and strengthening internal control (Inter) mechanisms; moreover, (iii) According to the study, common institutional ownership (CIO) effectively facilitates the positive effects of the DT impact on the ESG performance of listed enterprises, and firms' subjective perception of economic policy uncertainty (SEPU) negatively influences the effect of digital change on firms' ESG performance; (iv) the impact of DT on ESG performance is more significant in the listed companies of western region and state-owned enterprises. Our findings provide valuable insights into whether and how DT affects the firms' ESG performance, providing practical recommendations for corporate managers and government decision-making agencies.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] How supply chain concentration affects the ESG performance of Chinese listed companies: A business perspective
    Zhang B.
    Liu Z.
    Zhou J.
    He X.
    Jing Z.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2024, 44 (06): : 1795 - 1814
  • [22] Digital Transformation of Listed Agricultural Companies in China: Practice, Performance, and Value Creation
    Yang, Ying
    Cui, Wenqin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [23] Digital Transformation, Financial Performance and Sustainability: Evidence for European Union Listed Companies
    Ionascu, Ion
    Ionascu, Mihaela
    Nechita, Elena
    Sacarin, Marian
    Minu, Mihaela
    AMFITEATRU ECONOMIC, 2022, 24 (59) : 93 - 108
  • [24] ESG practices, mineral resources exploitation and value creation: insights from Chinese mining companies' digital transformation
    Lin, Ying-Chieh
    Liu, Shao-Jun
    Zhang, Li-Sen
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2025, 13
  • [25] How Does Digital Transformation Improve Corporate Carbon Emission Reduction Performance? An Empirical Study on Data from Listed Companies in China
    Guo, Li
    Tang, Min
    SUSTAINABILITY, 2024, 16 (08)
  • [26] Organizational Digital Literacy and Enterprise Digital Transformation: Evidence From Chinese Listed Companies
    Zhao, Li
    He, Qile
    Guo, Lei
    Sarpong, David
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 11884 - 11897
  • [27] The peer effect of digital transformation and corporate environmental performance: Empirical evidence from listed companies in China
    Ren, Xiaohang
    Zeng, Gudian
    Sun, Xianming
    ECONOMIC MODELLING, 2023, 128
  • [28] Enhancing ESG performance through digital transformation: Insights from China's manufacturing sector
    Ding, Xiaowei
    Vukovic, Darko B.
    Sokolov, Boris I.
    Vukovic, Natalia
    Liu, Yali
    TECHNOLOGY IN SOCIETY, 2024, 79
  • [29] Digital Technology for Good: Path and Influence-Based on the Study of ESG Performance of Listed Companies in China
    Wang, Jingyong
    Song, Zixiang
    Xue, Lida
    APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [30] Digital Transformation and Financial Risk Prediction of Listed Companies
    Chen, Xinxian
    Cai, Jianhui
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022