ISSN 1008-2204
CN 11-3979/C

数据要素赋能新质生产力涌现理论基石、内在逻辑与运作机制

Data Elements Empowering the Emergence of New Quality Productive ForcesTheoretical Cornerstones, Internal Logic, and Operational Mechanisms

  • 摘要: 随着新质生产力的崛起,数据要素成为现代经济体系中的关键要素之一。马克思主义生产力理论揭示了新质生产力的历史必然性,为数据要素赋能新质生产力提供理论基石。数据要素通过其双重属性——既作为劳动资料又作为劳动对象——对生产力与生产关系产生了深刻影响,并逐渐渗透至社会关系中。在社会主义生产方式下,数据要素旨在社会和集体需求的满足。依托人工智能、大数据、云计算和物联网技术,数据要素通过提升信息处理能力、推动生产自动化与智能化、开发创新能力以及优化产业链协同,促进生产效率和生产关系的现代化,实现对新质生产力的赋能。这一赋能机制不仅能够发挥数据要素的乘数效应、提高全要素生产率,还开辟了经济增长的新空间。

     

    Abstract: With the rise of new quality productive forces, data elements have become key elements in the modern economic system. Marxist productivity theory reveals the historical inevitability of new quality productive forces and provides the theoretical cornerstone for data elements to empower new quality productive forces. Through its dual attributes — as both a means of labor and an object of labor — data elements have a profound impact on productivity and production relations, and gradually penetrate social relations. Under the socialist mode of production, the data element aims at the fulfillment of social and collective needs. Relying on artificial intelligence, big data, cloud computing, and the Internet of Things, the data factor promotes the modernization of production efficiency and relations of production through improving information processing capabilities, promoting production automation and intelligence, developing innovation capabilities, and optimizing industrial chain synergies, to realize the empowerment of new quality productive forces. This empowerment mechanism not only brings into play the multiplier effect of data elements and increases total factor productivity, but also opens up new space for economic growth.

     

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