数据要素何以成为创新红利? ——源于人力资本匹配的证据
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F270

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国家社科基金重大招标项目“高质量发展视阈下创新要素配置的统计测度与评价研究”(19ZDA121);国家自然科学基金项目“制造业高质量发展视阈下创新要素的再配置机理及优化策略研究”(71973055);国家自然科学基金项目“数字赋能视阈下创新要素配置促进制造业高质量发展的机制研究”(72163008);教育部人文社会科学研究一般项目“创新要素配置对制造业高质量发展的影响机制研究:基于数字赋能视角”(21YJA790069);江西省研究生创新专项资金项目“产业关联视角下数字化变革对企业加成率的影响研究”(YC2020-B117)。


How Data Elements Become Innovation Dividends? ——Evidence from Human Capital Matching
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    摘要:

    数据要素作为数字经济时代的核心生产要素,是推动制造业创新发展的新引擎。本文测算数据要素与人力资本匹配度,实证分析其对制造业上市企业创新质量的影响效应及作用机制。研究发现,总体而言,数据要素与人力资本匹配显著提升制造业企业创新质量,但单独的数据要素或人力资本不具有显著的创新激励效应,创新红利的释放强调数据要素与人力资本要素组合的作用。异质性分析发现,数据要素与人力资本匹配仅对中部地区企业、劳动密集型企业以及金融约束程度较低的企业具有创新激励效应。机制检验发现,数据要素与人力资本匹配通过增强企业流动性储备、激发市场需求以及提升供应链效率从而促进制造业企业创新质量提升。此外,进一步分析中发现,数据要素与人力资本匹配对制造业创新质量具有倒“U”型的非线性影响,处于倒“U”型曲线下降阶段的样本仅占总样本的2.4%左右,97.6%左右的样本反映数据要素与人力资本匹配的创新激励效应。生活成本的创新挤出效应是二者匹配抑制创新质量提升的重要原因。本文的研究结论为政府在推动数字化建设的过程中,因地制宜、因时制宜地推动数据要素与人力资本协同发展,释放创新红利提供理论依据与建议。

    Abstract:

    As the core production factor in the digital economy era, data element is a new engine to promote the innovation of manufacturing enterprises. This paper measures the matching degree of data elements and human capital, and empirically analyzes its impact on the innovation quality of listed manufacturing companies and its mechanism. It is found that the matching of data elements and human capital significantly promotes the innovation of manufacturing enterprises. However, individual data elements or human capital do not have significant innovation incentive effect. The release of innovation dividend emphasizes the role of the combination of data elements and human capital elements. The analysis of heterogeneity found that the matching of data elements and human capital only has an innovation incentive effect for enterprises in the central region, labor-intensive enterprises, and enterprises with a low degree of financial restraint. The mechanism test found that the matching of data elements and human capital can promote the innovation quality of manufacturing enterprises by enhancing enterprise liquidity reserve, stimulating market demand and improving supply chain efficiency. In further analysis, it is found that the matching of data elements and human capital has an inverted“U”nonlinear impact on the innovation quality of manufacturing industry, but the samples in the decline stage of the inverted "U" curve account for only about 2.4% of the total samples, and about 97.6% of the samples reflect the innovation incentive effect of the matching of data elements and human capital. The crowding-out effect of the living cost is an important reason why the degree of system coordination inhibits the improvement of innovation quality. The research conclusion of this paper provides theoretical basis and suggestions for the government to use the coordinated development of data elements and human capital elements according to local conditions and time to release innovation dividends in the process of promoting digital construction.

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陶长琪,丁煜.数据要素何以成为创新红利? ——源于人力资本匹配的证据[J].中国软科学,2022,(5):45-56

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  • 在线发布日期: 2026-10-03
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