工业技术经济2026，Vol.45Issue(7)：145-158,14.DOI:10.3969/j.issn.1004-910X.2026.07.013
企业 ESG 表现的多维驱动机制与提升策略
Multidimensional Driving Mechanism and Promotion Strategies of Corporate ESG Performance
摘要
Abstract
Under the guidance of the new development concept,incorporating environmental,social responsibility,and corporate governance(ESG)into corporate operations and decision-making is an effective way to achieve sustainable development and Chinese-style modernization.Based on machine learning methods(ensemble learning and reinforcement learning),this paper uses 2009～2024 Chinese A-share listed companies as research samples and confirms the superiority of machine learning in model interpretability and prediction accuracy,analyzes the external pressures and internal governance motivations that affect corporate ESG performance,and comprehensively examines the multidimensional factors that predict corporate ESG,and the optimal strate-gies for improving corporate ESG are analyzed from the perspective of external pressure and internal governance.The results indicate that:first,both external factors(institutional environment,media attention,and industry competition)and internal governance factors(e.g.,ownership characteristics)impose significantly positive effects on corporate ESG performance.Second,external at-tributes including industry competition pressure and positive media coverage,together with internal indicators such as managerial ownership and the ownership ratio of the top five shareholders,serve as core predictors of ESG performance,with differentiated im-portance and nonlinear patterns.Third,heterogeneity analysis reveals that internal features(ownership,executive characteristics)and external factors(industry,institution,regional rule of law,government intervention)have heterogeneous impacts on different ESG dimensions and firm types.Finally,reinforcement learning-based strategy simulation suggests that maintaining moderate in-dustry competition,enhancing external monitoring via media,retaining relatively high managerial ownership and appropriate owner-ship concentration can maximize the improvement of corporate ESG performance.This study provides empirical implications for firms to design ESG optimization schemes and for authorities to improve relevant regulatory policies.关键词
ESG/企业社会责任/机器学习/公司治理/集成学习/强化学习/外部环境因素/内部治理特征Key words
ESG/social responsibility/machine learning/corporate governance/ensemble learning/reinforcement learning/external environmental factors/internal governance characteristics分类
管理科学引用本文复制引用
刘瑶,李泰新,黄子豪..企业 ESG 表现的多维驱动机制与提升策略[J].工业技术经济,2026,45(7):145-158,14.基金项目
国家自然科学基金面上项目"企业 ESG 责任的供应链传递效应研究:理论探讨与中国实践"(项目编号:72472019) （项目编号:72472019）
辽宁省教育厅高校基本科研项目"面向星地融合场景的多维业务动态协同编排机制研究"(项目编号:LJ212510173013). （项目编号:LJ212510173013）
