首页|数据要素驱动新质生产力发展的机制、挑战与应对措施

数据要素驱动新质生产力发展的机制、挑战与应对措施

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数字经济背景下,新质生产力的发展高度依赖数据要素的有效利用.数据要素在推动新质生产力发展中具有关键作用,其在丰富劳动资料、融合生产要素、拓展劳动领域以及推动商业模式创新中展现出多重驱动机制.数据要素凭借其可重复使用、低边际成本和强整合能力,逐渐成为新质生产力的核心驱动力.通过与技术、管理、资本等要素的深度融合,数据要素显著提升生产效率和管理水平,加速生产力体系的升级.数据要素的应用延展了劳动的边界,助力智能制造、平台经济及人工智能领域的发展,催生出灵活多样的新型劳动模式.此外,数据要素在商业模式创新中展现出独特优势,推动柔性生产、数字化供应链管理和精准营销等新模式的形成.同时,数据要素的发展面临产业化能力不足、数据质量不达标、流通机制不完善等挑战,需要通过加强基础设施建设、完善数据治理机制等措施加以应对.未来,应进一步深化对数据要素赋能新质生产力的理解,构建以数据驱动的新质生产力发展生态,为经济高质量发展提供有力支撑.
The Mechanism and Challenges in Data Elements Driving the Development of New Quality Productive Forces and the Countermeasures for That
In the context of the digital economy,the development of new quality productive forces heavily relies on the effective utilization of data elements.Data elements play the key role in driving the development of new quality productive forces,and there are multi-dimensional driving mechanisms exist in enriching labor tools,integrating production factors,expanding labor fields,and promoting business model innovation.Data elements,with their reusability,low marginal cost,and strong integrative capabilities,have gradually become the core driving force of new quality productive forces.Through deep integration with technological,managerial,and capital factors,data elements significantly enhance production efficiency and management effectiveness,and drive the upgrade of productivity systems.The application of data elements extends labor boundaries,supports the development of intelligent manufacturing,platform economy,and artificial intelligence,and foster the flexible and diverse new labor models.Furthermore,data elements demonstrate unique advantages in business model innovation,and promote the formation of new models such as flexible production,digital supply chain management,and precision marketing.At the same time,the development of data elements are faced with several challenges,including insufficient industrialization capacity,substandard data quality,and incomplete circulation mechanisms,which require measures such as strengthening infrastructure construction and improving data governance mechanisms.In the future,we should have a deeper understanding of how data elements empower new quality productive forces,and construct the ecosystem for the development of data-driven new quality productive forces to provide robust support for high-quality economic growth.

new quality productive forcesdata elementsproduction factor integrationlabor field expansionbusiness model innovation

王海杰、王开阳

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郑州大学商学院,河南 郑州 450001

新质生产力 数据要素 生产要素融合 劳动领域拓展 商业模式创新

2025

中国流通经济
北京物资学院

中国流通经济

北大核心
影响因子:1.607
ISSN:1007-8266
年,卷(期):2025.39(1)