重庆科技大学学报（社会科学版）Issue(5)：1-15,15.DOI:10.19406/j.issn.2097-4523.2025.05.001
公共数据开放与企业共享价值创造:基于双重机器学习的因果推断
Public Data Openness and Corporate Shared Value Creation:A Causal Inference Based on Double Machine Learning
摘要
Abstract
Public data openness has alleviated uneven distribution of data resources,which is of great significance for enterprises to promote common prosperity through shared value creation.To explore the impact of public data openness on corporate shared value creation,it employs a double machine learning model to verify based on the micro-level data of A share companies from 2011 to 2023.The results show that public data openness significantly promotes corporate shared value creation.Mechanism tests indicate that public data openness facilitates corporate shared value creation by driving corporate digital transformation and optimizing the business environment.Heterogeneity analysis shows that public data openness has a significant positive effect on service-oriented enterprises,enterprises in east China,and private enterprises.Economic consequence analysis reveals that corporate shared value creation practices help enhance both the social and economic value of enterprises,and public data openness can amplify this effect.The conclusions of this study provide reference for promoting corporate shared value creation and achieving a win-win situation for enterprises and society.关键词
公共数据开放/共同富裕/共享价值创造/双重机器学习/数字经济Key words
public data openness/common prosperity/shared value creation/double machine learning/digital economy分类
管理科学引用本文复制引用
林展城,余忠,李淑娟..公共数据开放与企业共享价值创造:基于双重机器学习的因果推断[J].重庆科技大学学报（社会科学版）,2025,(5):1-15,15.基金项目
福建省产品质量检验研究院基金项目"新形势下加快质检事业发展研究"(KH1500670). （KH1500670）
