数据资产化对企业资源配置效率的影响研究

Research on the impact of data assetization on enterprise resource allocation efficiency

摘要:

数据资产化的快速发展为企业资源配置效率的提升提供了新的路径。本文基于2009至2023年中国沪深A股上市公司的数据，运用面板数据分析法，深入探讨了数据资产化对企业资源配置效率的影响及其内在机制。研究结果显示，数据资产化显著推动了企业资源配置效率的提高，且这一效应在控制了多种潜在干扰因素后依然稳健存在。进一步分析揭示，数据资产化通过缓解融资难题、完善内部控制以及激发企业创新活力等路径，有效提升了生产效率。异质性分析还发现，数据资产化对非国有企业、处于成长阶段的企业，以及位于中西部地区、数字基础设施发达地区的企业具有更为突出的促进作用。经济后果分析进一步证实了数据资产化通过提升资源配置效率，间接增强了企业的市场竞争力。本文为数据资产化在提升企业资源配置效率方面的作用提供了理论与实证依据，也为政策制定者和企业管理者优化数据资产管理及提高生产效率提供了重要参考。

Abstract:

The rapid development of data assetization has provided a new path for improving the efficiency of enterprise resource allocation. Based on the data of A-share listed companies in Shanghai and Shenzhen from 2009 to 2023, this paper uses panel data analysis to deeply explore the impact of data assetization on the efficiency of enterprise resource allocation and its internal mechanism. The results show that data assetization has significantly promoted the improvement of enterprise resource allocation efficiency, and this effect remains robust after controlling for a variety of potential interference factors. Further analysis reveals that data assetization has effectively improved production efficiency by alleviating financing difficulties, improving internal control, and stimulating enterprise innovation vitality. Heterogeneity analysis also found that data assetization has a more prominent role in promoting non-state-owned enterprises, enterprises in the growth stage, and enterprises located in the central and western regions and areas with developed digital infrastructure. Economic consequence analysis further confirms that data assetization indirectly enhances the market competitiveness of enterprises by improving resource allocation efficiency. This paper provides theoretical and empirical evidence for the role of data assetization in improving the efficiency of enterprise resource allocation, and also provides an important reference for policymakers and enterprise managers to optimize data asset management and improve production efficiency.