基地执行副主任孙宪明副教授与合作者（ Xiaohang Ren, School of Business, Central South University; Gudian Zeng,School of Business, Central South University）的论文 "The peer effect of digital transformation and corporate environmental performance: Empirical evidence from listed companies in China" 在重要学术期刊Economic Modelling在线发表。

       Abstract:

Enhancing corporate environmental performance is crucial to addressing the global climate crisis. The extant research has explored the factors influencing environmental performance at the macroeconomic level. In contrast, this study focuses on micro-firms and selects a sample of Chinese-listed companies from 2011 to 2021 to investigate how the peer effect of digital transformation impact corporate environmental performance. Machine learning and textual analysis are adopted to measure digital transformation. Environmental performance is measured by corporate carbon emission reduction and the environmental score in the environmental, social, and governance (ESG) rating. This paper confirms that the industry and regional peer effects of digital transformation contribute to environmental performance. The industry peer effect of digital transformation can improve corporate environmental performance by promoting innovation, while the regional peer effect of digital transformation can alleviate corporate financing constraints, improving its environmental performance. This paper can serve as a reference for companies to explore sustainable development and for governments to formulate environmental protection policies.

Keywords: Digital transformation; Environmental performance; Peer effects; Corporate performance

链接：https://doi.org/10.1016/j.econmod.2023.106515

教师简介

孙宪明，理学双博士，现任数字技术与现代金融学科创新引智基地执行副主任，中南财经政法大学金融工程系副教授，硕士研究生导师。获评湖北省“楚天学子”，中南财经政法大学“文澜青年学者”，主要研究兴趣有金融工程、金融科技及其相关领域。在Journal of Economic Dynamics and Control，Journal of Futures Markets，Journal of Computational and Applied Mathematics，Computational Economics，Statistics and Probability Letters等重要学术期刊发表论文10余篇。目前主持国家自然科学基金、中央高校基本科研业务经费项目等科研项目。相关研究曾获第十六届中国金融工程学年会优秀论文奖（2017）。