智绘未来：人工智能与企业高质量ESG表现

当代财经 ›› 2025, Vol. 0 ›› Issue (9): 84-97.

智绘未来：人工智能与企业高质量ESG表现

李延喜, 胡云戈, 王夺, 孟德霖

大连理工大学经济管理学院,辽宁大连 116024

收稿日期:2024-10-15 修回日期:2025-01-12 发布日期:2025-09-16
通讯作者: 胡云戈,大连理工大学博士研究生,主要从事公司治理研究,联系方式huyunge@mail.dlut.edu.cn
作者简介:李延喜,大连理工大学教授,博士生导师,管理学博士,主要从事财务管理研究;王夺,大连理工大学博士研究生,主要从事会计与资本市场研究;孟德霖,大连理工大学博士研究生,主要从事企业经济研究。
基金资助:
国家社会科学基金一般项目“东道国经济政策波动对‘一带一路’国际资本流动网络及金融风险的影响研究”（21BJY080）; 国家社会科学基金重点项目“‘一带一路’沿线国家自然灾害对中国海外投资安全的影响研究”（24AJY032）; 国家社会科学基金重大项目“基于多模态大数据和人工智能的金融风险防控研究”（24&ZD089）

Painting the Future with AI: Artificial Intelligence and High-Quality Enterprise ESG Performance

Li Yan-xi, Hu Yun-ge, Wang Duo, Meng De-lin

Dalian University of Technology, Dalian 116024, China

Received:2024-10-15 Revised:2025-01-12 Published:2025-09-16

摘要/Abstract

摘要： 人工智能的迅猛发展为企业提升环境、社会与治理（ESG）表现及实现可持续发展目标提供了新的契机。然而,现有研究对ESG内部协调程度的关注相对不足,这在一定程度上制约了人工智能在推动企业可持续发展方面效能的发挥。以2009—2022年A股上市公司为研究样本,基于系统论构建协调发展模型,从“量扩”与“质升”两个维度综合评价企业高质量ESG表现,并实证检验了人工智能对企业高质量ESG表现的影响与作用机制。研究发现,人工智能会显著提升企业高质量ESG表现,且在经过替换指标度量方式、控制固定效应、处理内生性问题等一系列检验后,上述结论依然成立。机制检验结果显示,缓解融资约束和提高内部控制质量是人工智能发挥作用的两条主要路径。异质性分析表明,对于学术型高管占比高的企业、属于高科技行业的企业和位于环境规制严格地区的企业,人工智能对企业高质量ESG表现的促进作用更为显著。因此,政策制定者应加大对企业ESG协调发展的宣传力度,制定针对性政策,引导企业合理应用人工智能技术,助力企业实现可持续发展。

关键词: 高质量ESG表现, 人工智能, 协调发展度, 融资约束, 内部控制

Abstract: The booming development of artificial intelligence has opened up new opportunities for enterprises to improve their ESG performance and achieve sustainable development goals. However, the existing researches pay insufficient attention to the internal coordination degree of ESG, which to some extent restricts the effectiveness of artificial intelligence in promoting sustainable development of enterprises. Taking A-share listed companies from 2009 to 2022 as research samples, this paper constructs a coordinated development model based on the system theory to comprehensively evaluate the high-quality ESG performance of enterprises from the two dimensions of“quantity expansion”and “quality improvement”. Then it empirically tests the impact and mechanism of AI application on the high-quality ESG performance of enterprises. The study reveals that the application of AI technology will significantly improve the high-quality ESG performance of enterprises, and this conclusion maintains its robustness following a range of tests, including altering the measurement approaches of indicators, controlling the fixed effects, and addressing the endogenous issues. The mechanism test shows that alleviating financing constraints and improving the quality of internal control are two major paths through which AI exerts its influence. The heterogeneity analysis shows that in enterprises with more academic executives, in high-tech industries and located in the regions with strong environmental regulations, the promoting effect of AI on the high-quality ESG performance of enterprises is more significant. Therefore, policymakers should strengthen the publicity of enterprise ESG coordination and development, formulate targeted policies, guide enterprises to apply AI technology reasonably, so as to help enterprises achieve sustainable development.

Key words: high-quality ESG performance, artificial intelligence, coordination development degree, financing constraints, internal control

中图分类号:

F272
F273.1

李延喜, 胡云戈, 王夺, 孟德霖. 智绘未来：人工智能与企业高质量ESG表现[J]. 当代财经, 2025, 0(9): 84-97.

Li Yan-xi, Hu Yun-ge, Wang Duo, Meng De-lin. Painting the Future with AI: Artificial Intelligence and High-Quality Enterprise ESG Performance[J]. Contemporary Finance & Economics, 2025, 0(9): 84-97.

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