摘要
新质生产力是马克思主义政治经济学基本原理同新时代数字经济发展实践相结合的产物,是对马克思主义生产力理论的创新与发展。在数字经济时代,数据是推动科技创新的关键生产要素,而科技创新是发展新质生产力的根本驱动力。然而,当前数据要素促进新质生产力发展的理论逻辑尚不清晰、实践路径仍不完善。为此,依据马克思主义政治经济学中的生产力理论对这一问题进行研究。首先,基于马克思主义生产力理论,从生产要素发展和强化劳动者协作两个维度,对数据要素赋能新质生产力发展进行定性研究,并利用理论分析与逻辑解构相结合的方法,对数据要素在社会再生产各环节中所发挥的作用进行分析;其次,研究发现当前我国数据要素价值释放不充分,面临诸多问题,包括数据要素供给不充足、数据驱动创新能力较弱、数据要素市场化进程缓慢、数据流通不顺畅以及数字劳动力短缺等;最后,针对上述问题提出对策建议,如加快构建数据资源供给体系、发挥数据要素乘数效应、规范数据要素市场发展以及注重数字人才培育等。以期为释放数据要素价值并赋能新质生产力发展提供理论支撑和实践指引。
The new quality productivity is the combined product of the fundamental principles of Marxist political economy and the practice of the digital economy in the new era.It signifies an innovation and development of Marxist productivity theory.Since the proposal of new quality productivity,the related research has drawn a hot topic of academic attention.However,current researches primarily focus on methods for generating new quality productivity,while neglecting the exploration of the endogenous motivation and the related mechanism that can promote its de⁃velopment.In theory,the concept of new quality productivity originates from Marx's theory of la⁃bor productivity.Therefore,it is crucial to analyze the new quality productivity from the perspec⁃tive of Marxist productivity theory.Based on the Marxist productivity theory,this paper qualitatively explores the available pathways to promote the development of new quality productivity through data factors,and the exploration focuses on developing the production factors and enhancing the coordination among laborers.The combined method of logical deconstruction and theoretical analysis is used to re⁃search the role that data factor should play in the social reproduction processes,such as produc⁃tion,circulation,consumption,and distribution.According to the conclusion from the above re⁃search,there exist a lot of obstacles that are adverse to releasing the value of data factor,such as insufficient effective supplements,immature data-driven innovation,slow marketization,poor circulation,and inadequate supply of digital laborers.These obstacles are severely restricting the generation and realization of new quality productivity.To release the value of data factor and assist in the development of new quality productivity,several targeted strategies has been recom⁃mended.Firstly,it is fundamental to accelerate the development of data resource supply system,which includes attaching importance to the data infrastructure and data innovation,sharing the data resources in a classified manner,and supporting the registration of data property right.Sec⁃ondly,it is crucial to leverage the multiplier effect of data factor,which includes developing the data industry,strengthening the integration of digital and real economies,and constructing the digital innovation ecosystem.Thirdly,it is critical to standardize the marketization of data fac⁃tors,which includes improving the data infrastructure system,optimizing the data factor circula⁃tion system,and promoting the building of data factor rules and regulations.Last but not least,it is indispensable to emphasize the cultivation of digital talents,which includes encouraging the data factor education in colleges and universities,promoting the combination between digital skill training and continuing education,and empowering the cultivation of new quality talents through the collaboration of university-industry-research.This paper aims to provide a theo⁃retical basis and practical guidance for promoting the development of new quality productivity through releasing the value of the data factor.
作者
李博
Li Bo(Tianjin Academy of Science and Technology for Development,Tianjin 300011,China)
出处
《创新科技》
2025年第6期1-13,共13页
Innovation science and technology
基金
天津市科技计划智库项目“天津市应用基础研究项目‘首席制’组织管理模式研究”(21ZLZKZF00500)。
关键词
新质生产力
生产要素
数据要素
数字经济
马克思主义生产力理论
实践路径
new quality productivity
production factors
data factor
digital economy
Marxist Productivity Theory
practical pathways
作者简介
李博(1984-),男,博士,高级工程师,研究方向:创新管理。
