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数实产业融合、新质生产力与企业ESG表现

段可仪 汪艳莉 金磊

统计与决策2025,Vol.41Issue(11):23-28,6.
统计与决策2025,Vol.41Issue(11):23-28,6.DOI:10.13546/j.cnki.tjyjc.2025.11.004

数实产业融合、新质生产力与企业ESG表现

Integration of Digital and Real Industries,New Quality Productivity and Enterprise ESG Performance

段可仪 1汪艳莉 2金磊3

作者信息

  • 1. 中国财政科学研究院 研究生院,北京 100142
  • 2. 中南财经政法大学 金融学院,武汉 430073
  • 3. 天津大学 管理与经济学部,天津 300072
  • 折叠

摘要

Abstract

In the context of new quality productivity development,the integration of digital and real industries not only revi-talizes enterprise growth,but also optimizes the social resource allocation and fosters sustainable economic and social develop-ment.Starting from the perspective of new quality productivity,this paper analyzes the data of 1,979 enterprises from 2010 to 2022,and explores the mechanism,effect and improvement path of the integration of digital and real industries on the ESG perfor-mance of enterprises.The results show that the integration of digital and real industries enhances the ESG performance of enter-prises under the influence of new quality productivity,especially achieving remarkable results in enhancing the governance level of enterprises.The integration of digital and real industries has a threshold effect on the ESG performance of enterprises.When the development level of new quality productivity is low,it has an inhibitory effect;when the development level of new quality produc-tivity is relatively high,the integration of digital and real industries can significantly improve the ESG performance of enterprises.Capital expansion,scientific and technological innovation,and industrial structure rationalization serve as the primary mecha-nisms through which the integration of digital and real industries influences enterprise ESG performance.

关键词

数实产业融合/新质生产力/企业ESG表现

Key words

integration of digital and real industries/new quality productivity/enterprise ESG performance

分类

经济学

引用本文复制引用

段可仪,汪艳莉,金磊..数实产业融合、新质生产力与企业ESG表现[J].统计与决策,2025,41(11):23-28,6.

基金项目

国家社会科学基金社科学术社团资助项目(24SGC093) (24SGC093)

统计与决策

OA北大核心

1002-6487

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