数字时代的新质生产力:“十五五”时期数据要素化与产业范式重构战略研究——学习贯彻党的二十届四中全会精神
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作者:
作者单位:

1.中共江苏省委党校,世界经济与政治教研部,江苏 南京 210009;2.中共江苏省委党校,经济学教研部,江苏 南京 210009;3.湖北省社会科学院 中部发展研究所,湖北 武汉 430077

作者简介:

王松,博士,中共江苏省委党校世界经济与政治教研部讲师,Email:okpine@foxmail.com
徐政,博士,中共江苏省委党校经济学教研部讲师
江小鹏(通信作者),博士,湖北省社会科学院中部发展研究所助理研究员。

通讯作者:

中图分类号:

F49;F124

基金项目:

全国党校(行政学院)系统重点调研课题“数字经济对我国制造业偏向型技术进步的影响研究”(2023DXXTZDDYKT034)


New quality productivity in the digital age: Strategic research on data factorization and industrial paradigm reconstruction during the 15th Five-Year Plan period
Author:
Affiliation:

1.Department of World Economics and Politics, Party School of the CPC Jiangsu Provincial Committee, Nanjing 210009, P.R.China;2.Department of Economics, Party School of the CPC Jiangsu Provincial Committee, Nanjing 210009, P.R.China;3.Institute of Central China Development,;Hubei Academy of Social Sciences, Wuhan 430077, P.R.China

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    摘要:

    党的二十届四中全会指出,“加快高水平科技自立自强,引领发展新质生产力”。新质生产力是数字技术革命背景下生产力发展的新形态,以数据要素化、人工智能融合等为关键特征,正推动产业范式重构与经济增长动能转换。在发展趋势上,新质生产力展现出数字化与智能化深度融合的特点,其核心生产要素数据具有非竞争性交叠低边际成本、非排他性与排他性并存、交互即时性与正外部性叠加、产权清晰化助推规模报酬递增等特性,这些特性使新质生产力在促进创新、优化资源配置等方面具有显著优势。从内在逻辑看,“十五五”时期数据要素化推动新质生产力发展,主要体现在产能融合与智能决策、组织架构与资源配置模式变革、数据资产价值效应等方面。数据要素化促使产能融合从传统产业协作迈向跨领域智能协同,决策模式从经验主导转向智能驱动;组织架构从层级制向扁平化、网络化转变,资源配置方式从被动适配到主动优化,生产模式从大规模标准化生产向定制化生产过渡;数据资产的价值创造通过乘数效应、网络效应与协同效应实现。在人工智能融合下,数据要素从管理决策、生产流程、产业结构、供应链体系等多维度引致产业范式重构。在实践进路方面,为推动“十五五”时期新质生产力发展,需攻克关键核心技术,推动数字经济与实体经济深度融合;拓展劳动对象范围,深化数据要素应用;优化创新创业政策环境与国家治理模式;有序推进产业协同发展与区域协调发展。这些路径可为构建现代化产业体系、实现中国式现代化提供有力支撑,进而促进新质生产力在数字时代实现高质量发展,推动我国在全球竞争中占据优势地位,实现经济可持续增长与社会的全面进步。

    Abstract:

    The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China points out that “we should accelerate high-level scientific and technological self-reliance and self-strengthening, and lead the development of new quality productivity.” New quality productivity is a new form of productivity development under the background of the digital technology revolution, with key features such as data elementization and the integration of artificial intelligence, which is promoting the reconstruction of industrial paradigms and the transformation of economic growth momentum. In terms of development trend, new quality productivity exhibits the characteristics of deep integration of digitization and intelligence. Its core production factor data has such attributes as non competitive overlapping low marginal costs, coexistence of non exclusivity and exclusivity, real-time interaction and positive externalities, and clear property rights to promote increasing returns to scale. These characteristics make new quality productivity significantly advantageous in promoting innovation and optimizing resource allocation. From an internal logic perspective, the digitization of data during the 15th Five-Year Plan period promotes the development of new quality productivity, mainly reflected in the integration of production capacity and intelligent decision-making, changes in organizational structure and resource allocation models, and the value effect of data assets. The elementization of data promotes the integration of production capacity evolving from traditional industry collaboration to cross domain intelligent collaboration, and the decision-making mode shifts from experience driven to intelligent driven. The organizational structure has shifted from hierarchical to flat and networked, the resource allocation method has shifted from passive adaptation to active optimization, and the production mode has transitioned from large-scale standardized production to customized production; The value creation of data assets is achieved through multiplier effects, network effects, and synergies. Under the integration of artificial intelligence, data elements lead to the reconstruction of industrial paradigms from multiple dimensions such as management decision-making, production processes, industrial structure, and supply chain systems. In terms of practical approach, in order to promote the development of new quality productive forces during the 15th Five-Year Plan period, it is necessary to overcome key core technologies and promote the deep integration of digital economy and real economy; expand the scope of labor objects and deepen the application of data elements; optimize the policy environment for innovation and entrepreneurship and the national governance model; orderly promote the coordinated development of industries and regions. These paths can provide strong support for building a modern industrial system and realizing Chinese path to modernization, thus promoting high-quality development of new quality productivity in the digital era, promoting China’s dominant position in global competition, and achieving sustainable economic growth and overall social progress.

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王松,徐政,江小鹏.数字时代的新质生产力:“十五五”时期数据要素化与产业范式重构战略研究——学习贯彻党的二十届四中全会精神[J].重庆大学学报社会科学版,2026,32(1):29-40. DOI:10.11835/j. issn.1008-5831. pj.2025.10.002

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  • 在线发布日期: 2026-04-02
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