数据安全监管与企业全要素生产率——来自《数据安全法》实施的经验证据
Data Security Regulation and Enterprise Total Factor Productivity: Empirical Evidence from the Implementation of the Data Security Law
DOI: 10.16538/j.cnki.jsufe.2026.04.006
[1]马从文,湛泳.数据安全监管与企业全要素生产率——来自《数据安全法》实施的经验证据[J/OL].上海财经大学学报,2026,28(04):74-88[2026-11-11].https://doi.org/10.16538/j.cnki.jsufe.2026.04.006.
摘要
《数据安全法》作为政府实施数据安全监管的重要法律保障,其核心目标是化解数据安全风险、护航经济高质量发展,但该法的实际监管成效,尤其是对企业全要素生产率的驱动效应尚未明晰。文章以《数据安全法》的实施作为准自然实验,利用沪深A股非金融上市公司数据,构建双重差分模型,实证检验《数据安全法》的实施对企业全要素生产率的驱动效应及其作用机制。研究结果表明,《数据安全法》的实施显著提高了企业全要素生产率。机制分析发现,《数据安全法》能够发挥数据安全治理效应,通过推动企业技术创新和优化人力资本结构提升了企业全要素生产率。进一步研究发现,对于国有企业、高科技企业、政策感知能力较强以及外部环境不确定性较低的企业,《数据安全法》的实施对其全要素生产率的驱动效应更为明显。文章不仅揭示了数据安全监管赋能企业全要素生产率的内在逻辑,而且为中国政府完善数据安全政策法规体系和实现高质量发展提供有益参考。
In the era of the digital economy, data elements have become an important engine to promote economic growth, but they also hide data security risks while releasing dividends. Data security governance is related to high-quality economic development, and it is difficult to effectively solve digital security problems only by relying on enterprises themselves. It is urgent for the government to strengthen data security regulation. The implementation of the Data Security Law marks that the data security regulation in China has entered the stage of the rule of law. Its core goal is to resolve data security risks and safeguard high-quality economic development. However, the actual regulatory effectiveness of this law, especially its driving effect on enterprise total factor productivity (TFP), has not been clearly studied.
This paper takes Shanghai and Shenzhen A-share listed enterprises as the research object, and uses the DID method to test the impact of the Data Security Law on enterprises TFP. The results show that the Data Security Law significantly improves enterprise TFP, and after a series of robustness tests, this conclusion remains valid. Mechanism testing reveals that the Data Security Law can give full play to the effect of data security governance, and improve enterprise TFP by promoting technological innovation and optimizing human capital structure. Heterogeneity analysis finds that the driving effect of the Data Security Law on enterprise TFP is heterogeneous due to enterprise characteristics and external environment constraints, as is manifested in state-owned enterprises, high-tech enterprises, enterprises with stronger policy perception capabilities, and enterprises facing lower external environment uncertainty. This paper not only helps to deepen the understanding of the impact of data security regulation on micro-enterprise behavior, but also provides a useful reference for the Chinese government to improve the data security policy and regulation system and achieve high-quality development.
关键词: 企业全要素生产率,数据安全法,数据安全监管,技术创新,人力资本结构