数据要素利用与企业数字技术创新:一个U型关系

Utilization of Data Elements and Enterprise Digital Technology Innovation: A U-shaped Relationship

  • 摘要: 数据要素的协同发展性可能导致企业利用数据要素赋能数字技术创新时呈现非线性效果。基于2015~2023年我国A股上市公司数据,在运用机器学习和文本分析方法对企业数据要素利用水平进行量化的基础上,实证检验数据要素利用对企业数字技术创新的影响。结果表明:数据要素利用与企业数字技术创新之间存在 U型关系,即低水平的数据要素利用会抑制企业数字技术创新,达到临界点后才会促进企业数字技术创新。而且这种U型关系在非国有、小规模、业务非多元化以及融资约束较高的企业中更加显著。进一步的机制检验发现,数据要素利用通过影响要素配置效率和供应链集中度对企业数字技术创新产生作用。研究结论从数据要素视角丰富了企业创新影响因素的文献,揭示了新型生产要素对企业数字技术创新的“双刃剑”效应,对推动数据要素价值释放,引领企业创新发展具有较强的指导意义。

     

    Abstract: The synergistic development of data elements may lead to a nonlinear effect when enterprises use data elements to empower digital technology innovation. Based on the data of China’s A-share listed companies from 2015 to 2023, this paper empirically examines the impact of data elements utilization on enterprise digital technology innovation on the basis of quantifying the utilization of enterprise data elements using Word2Vec algorithm and machine learning model. The results show that there is a U-shaped relationship between the utilization of data elements and the innovation of enterprise digital technology, that is, the low level of data elements utilization will inhibit the innovation of enterprise digital technology, and only after reaching the critical point will it promote the innovation of enterprise digital technology. And this U-shaped relationship is more prominent in non-state-owned, small-scale, non-diversified businesses, and companies with high financing constraints. Further mechanism tests show that the utilization of data elements has an effect on the digital technology innovation of enterprises by affecting the efficiency of factor allocation and the concentration of supply chain. The conclusion of this study enriches the literature on the influencing factors of enterprise innovation from the perspective of data elements, reveals the “double-edged sword” effect of new production factors on enterprise digital technology innovation, and has strong guiding significance for promoting the value release of data elements and leading the innovation and development of enterprises.

     

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