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作 者:梁孝成 吕康银[1] 陈思[1] LIANG Xiaocheng;LYU Kangyin;CHEN Si(School of Economics and Management,Northeast Normal University,Changchun 130117,Jilin,China)
机构地区:[1]东北师范大学经济与管理学院,吉林长春130117
出 处:《科研管理》2025年第2期12-21,共10页Science Research Management
基 金:国家自然科学基金面上项目:“新就业形态与劳动力市场转型——典型事实与作用机制”(71973022);教育部人文社会科学规划基金项目:“数据要素促进共同富裕的理论机制与实践路径”(24YJAZH103);吉林省社会科学基金重大项目:“‘一主六双’高质量发展战略的产业支持与协同路径”(2023ZD3)。
摘 要:推进数据要素市场化建设可以充分发挥数据要素作用,对于培育发展新质生产力具有重要意义。本文将2015—2022年A股上市公司数据作为研究样本,以数据交易平台设立作为推进数据要素市场化的实践性探索,使用渐进双重差分模型实证检验数据要素市场化对企业新质生产力水平的影响。研究发现:数据要素市场化能够显著提升企业新质生产力水平,该结论在经过多种稳健性检验后依然成立;机制检验表明,数据要素市场化通过提高企业数字技术应用水平和企业资源配置效率,进而影响企业新质生产力水平;异质性分析表明,数据要素市场化对数字经济水平较高地区企业、劳动密集型企业和高新技术企业的影响效果更显著。研究结论对于进一步推进数据要素市场化建设和从企业层面培育发展新质生产力具有重要启示。Promoting the market-oriented construction of data factors can give full play to the role of data factors and is of great significance for cultivating and developing new quality productivity.This paper takes the data of A-share listed companies from 2015 to 2022 as research samples,takes the establishment of data trading platform as A practical exploration to promote the marketization of data factors,and uses the progressive differential model to empirically test the impact of data factor marketization on the level of new quality productivity of enterprises.It is found that the marketization of data factors can significantly improve the level of new quality productivity of enterprises,and this conclusion is still valid after various robustness tests.The mechanism test shows that the marketization of data factors affects the level of new quality productivity of enterprises by improving the application level of digital technology and the efficiency of resource allocation.Heterogeneity analysis shows that the marketization of data factors has a more significant impact on enterprises in regions with higher digital economy level,labor-intensive enterprises and high-tech enterprises.The research conclusion has important implications for further promoting the market-oriented construction of data factors and cultivating and developing new quality productivity from the enterprise level.
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