数据要素应用同群效应与企业绿色技术扩散

The Peer Effect of Data Factor Application and Corporate Green Technology Diffusion

白童欢,孙海波

2026 第 28 卷 第 03 期 页码 45-59

DOI: 10.16538/j.cnki.jsufe.2026.03.004

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摘要

数字经济背景下,企业数据要素应用的同群模仿特征日趋显著。同群企业的数据要素应用行为能否向绿色技术创新活动延伸,并对绿色技术的推广与应用产生影响,是一个亟待深入探讨的议题。文章基于2011—2024年中国上市公司数据,聚焦数据要素应用的同群效应,系统考察其对企业绿色技术扩散的影响。研究发现:数据要素应用存在显著的行业同群效应,该效应能有效加速企业绿色技术扩散进程。异质性分析显示,对于拥有较强市场势力或享有完善数字基础设施条件的企业,数据要素应用同群效应对绿色技术扩散的促进作用更为显著。机制检验表明,数据要素应用同群效应通过提升研发合作水平、增强创新吸收能力以及畅通技术信息渠道三条路径加速绿色技术扩散。调节效应检验显示,技术要素市场化、绿色产业集群和知识产权保护均能正向调节数据要素应用同群效应对企业绿色技术扩散的促进作用。研究结论不仅拓展了绿色技术扩散驱动机制的理论视角,也为企业通过应用数据要素加速绿色技术扩散提供实践指引。

In the context of a booming digital economy, data factor has emerged as a new factor of production driving enterprise transformation. Meanwhile, enterprises exhibit pronounced peer behavior in their application of data resources. How this peer effect affects corporate green technology diffusion represents a research topic worthy of in-depth exploration. Based on data from China’s listed companies from 2011 to 2024, this paper focuses on the peer effect of data factor application and systematically examines its impact on corporate green technology diffusion. The findings indicate that there is a significant industry peer effect in data factor application, which can effectively accelerate corporate green technology diffusion. Heterogeneity analysis reveals that for enterprises with stronger market power or with more developed digital infrastructure, the peer effect of data factor application more significantly enhances the promotion of corporate green technology diffusion. Mechanism testing indicates that this peer effect accelerates green technology diffusion through three pathways: enhancing R&D collaboration levels, boosting innovation absorption capacity, and facilitating the flow of technical information channels. The moderation effect analysis indicates that the marketization of technological factors, green industrial clusters, and intellectual property protection all exert positive moderating effects on the relationship between the peer effect of data factor application and corporate green technology diffusion. This paper examines the behavioral consequences of the peer effect of data factor application and deepens the theoretical understanding of how external environments affect corporate green innovation decisions. It not only expands the theoretical perspective on the driving mechanisms of green technology diffusion, but also provides valuable practical guidelines for enterprises to accelerate green technology diffusion through data factor application.

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