当代财经 ›› 2026, Vol. 0 ›› Issue (8): 151-164.

• 管理科学 • 上一篇    下一篇

数据资产化对企业成长的影响:“锦上添花”还是“雪中送炭”

彭正银, 蒙思元, 罗贯擎   

  1. 天津财经大学 商学院,天津 300222
  • 收稿日期:2025-02-14 修回日期:2025-12-12 出版日期:2026-08-15 发布日期:2026-09-14
  • 通讯作者: 蒙思元,天津财经大学博士研究生,主要从事网络平台治理研究,联系方式msy9910001@163.com。
  • 作者简介:彭正银,天津财经大学教授,博士生导师,管理学博士,主要从事网络组织与平台治理研究;罗贯擎,天津财经大学博士研究生,主要从事公司治理与平台治理研究。
  • 基金资助:
    国家社会科学基金重大项目“平台企业治理研究”(21&ZD135)

The Impact of Data Assetization on Enterprise Growth: Icing on the Cake or Help in Need

Peng Zheng-yin, Meng Si-yuan, Luo Guan-qing   

  1. Tianjin University of Finance and Economics, Tianjin 300222, China
  • Received:2025-02-14 Revised:2025-12-12 Online:2026-08-15 Published:2026-09-14

摘要: 在数字经济时代,数据资产逐渐成为影响企业成长的关键因素。以2011—2023年中国A股上市公司作为研究样本,从设施层、人员层、技术层和应用层四个维度刻画企业数据资产化程度,实证检验数据资产化对企业成长影响的研究结果表明,数据资产化显著促进了企业成长,且这种促进作用表现为“锦上添花”而非“雪中送炭”。进一步分析发现,构成数据资产化的四个维度对企业成长的影响存在显著差异,其中设施层、技术层与应用层维度均显著促进企业成长,且技术层的影响最为突出,而人员层维度在现阶段尚未表现出明显的促进作用。机制检验发现,数据资产化通过缓解信息摩擦和降低供求协调成本推动企业成长。因此,企业应加强设施、技术与人才等维度的投入并进行优化,注重数据资产与实际应用场景的深度融合,充分释放数据资产的价值,促进企业成长;政府应营造安全、高效和清朗的数据环境,鼓励数据开放共享,为企业发展提供良好支撑。

关键词: 数据资产化, 企业成长, 信息摩擦, 供求协调成本

Abstract: In the era of the digital economy, data assets have increasingly become a critical factor influencing enterprise growth. By constructing a text dictionary of data assetization from four dimensions—facility layer, personnel layer, technology layer and application layer, and selecting China's A-share listed companies from 2011 to 2023 as the research sample, this paper empirically examines the impact of data assetization on enterprise growth. The research results indicate that data assetization significantly promotes enterprise growth, and this promoting effect tends to be icing on the cake rather than help in need. Further analysis reveals significant differences in the effects of the four dimensions on enterprise growth. Specifically, facility layer, technology layer and application layer all show a significant positive impact, with the technology layer having the most pronounced effect. In contrast, the personnel layer does not demonstrate a significant impact at the current stage. In addition, mechanism testing suggests that data assetization facilitates enterprise growth by alleviating information frictions and reducing supply-demand coordination costs. Therefore, enterprises should enhance investment and optimization across multiple dimensions—such as infrastructure, technology, and talent—while promoting the deep integration of data assets with real-world application scenarios to fully unlock the value of data assets and drive growth. Governments, in turn, should foster a safe, efficient, and transparent data environment, encourage data openness and sharing, and provide strong support for enterprise development.

Key words: data assetization, enterprise growth, information frictions, supply-demand coordination costs

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