科研管理

科研管理 ›› 2026, Vol. 47 ›› Issue (1): 35-45.DOI: 10.19571/j.cnki.1000-2995.2026.01.004

• 论文 • 上一篇    下一篇

数据要素对企业绿色创新的影响研究

白福萍, 张娜   

  1. 山东理工大学管理学院，山东 淄博255000
  • 收稿日期:2024-12-29 修回日期:2025-07-28 接受日期:2025-07-29 出版日期:2026-01-20 发布日期:2026-01-12
  • 通讯作者: 白福萍
  • 基金资助:
    山东省自然科学基金项目:“‘双碳’目标下数字化转型驱动企业ESG绩效提升的机理与路径研究”（ZR2023MG011，2024.01—2026.12）；国家社科基金项目：“数字资本对企业利益相关者价值共创的影响机理与路径研究”（20BGL087，2020.09—2025.07）。

Research on the impact of data elements on corporate green innovation

Bai Fuping, Zhang Na

  1. School of Management, Shandong University of Technology, Zibo 255000, Shandong, China
  • Received:2024-12-29 Revised:2025-07-28 Accepted:2025-07-29 Online:2026-01-20 Published:2026-01-12

摘要：    数据要素作为具有核心竞争力的关键生产要素和战略资源，为企业提升绿色创新绩效，实现可持续发展提供了新的途径。本文基于2012—2023年A股上市公司数据，实证探究了数据要素对企业绿色技术创新和管理创新的影响效应与机制。结果表明，数据要素显著提升了企业绿色技术创新和绿色管理创新绩效，战略引导和绿色文化强化了数据要素与绿色创新之间的关系。机制分析表明，数据要素通过“资源集聚效应”和“协同效应”提升企业绿色创新绩效。异质性分析发现，在技术密集领域、环境规制强度高的企业中，数据要素对绿色创新绩效的推动作用更加显著。本文拓展了数据要素影响企业行为领域的研究，为探究数字经济时代企业绿色创新路径提供了经验证据，对企业有效挖掘和利用数据要素的潜在价值具有启示意义。

关键词: 数据要素, 绿色创新, 资源集聚, 协同效应, 机器学习

Abstract:    As key production factors and strategic resources with core competitiveness, data elements provide new ways for enterprises to enhance green innovation performance and realize sustainable development. Based on the data of A-share listed companies from 2012 to 2023, this paper empirically explored the effect and mechanism of data elements on corporate green technology innovation and management innovation. The results showed that data elements significantly improve the performance of corporate green technology innovation and green management innovation, and the relationship between data elements and green innovation is strengthened by strategic guidance and green culture. The mechanism analysis showed that data elements promote the green innovation performance of enterprises through "resource agglomeration effect" and "synergistic effect". The heterogeneity analysis found that in technologyintensive fields and enterprises with high intensity of environmental regulation, data elements play a more significant role in promoting green innovation performance. This research has expanded the research in the field of data elements influencing corporate behaviour, and it will provide empirical evidence for exploring the path of corporate green innovation in the digital economy era, thus having implications for enterprises to effectively explore and utilize the potential value of data elements.


Key words:  data element, green innovation, resource agglomeration, synergistic effect, machine learning