数据要素对专精特新企业创新能力的影响

The Impact of Data Elements on the Innovation Capacity of the Specialized-Elaborative-Characteristic-Innovative Enterprises

摘要:

专精特新企业是中国式现代化产业体系的创新主力军，而数据要素作为数字时代经济社会发展的基础性生产要素，如何实现其赋能专精特新企业创新是值得关注的问题。为进一步对理解数据要素和专精特新企业的交互融合提供经验证据，为专精特新企业梯度培育机制提供理论参考，基于资源编排理论视角，选取2017－2021年中国A股专精特新上市企业数据为研究样本，运用普通最小二乘回归方法（OLS）分析数据要素对专精特新企业创新能力的影响效应。结果表明，数据要素显著提高专精特新企业创新能力，其中对专精特新企业创新能力提高的促进作用在高技术行业和处于竞争激烈环境中的专精特新企业中更为显著，并通过提高研发人才集聚程度使专精特新企业有更强的动力提高创新能力；数据要素在短期内会增加专精特新企业运营成本，但在长期下对促进专精特新企业创新能力作用显著。据此提出重视数据要素在专精特新企业中的融合应用、优化专精特新企业人才引进政策和内部资源配置、强化政府对专精特新企业创新投入行为的重视等对策建议。

Abstract:

Based on the perspective of resource orchestration theory, the data of Chinese A-share “Specialized-Elaborative-Characteristic-Innovative” (SECI) listed companies are selected as the research samples, OLS regression method is used to analyze the effect of data elements on the innovation ability of SECI enterprises. The results show that data elements significantly improve the innovation ability of SECI enterprises and are differentiated across samples with different technological content and degree of market competition. The mechanism test finds that data elements can increase the degree of R D talent concentration, so that SECI enterprises have stronger incentives to improve their own innovation ability; data elements increase the operating costs of SECI enterprises in the short term, but play a significant role in promoting the innovation ability of SECI enterprises in the long term.