中国特色社会主义研究 ›› 2026, Issue (2): 116-124.

• • 上一篇    

数智化转型推动传统产业优化提升的政治经济学分析

杨天宇, 廖小萱   

  • 收稿日期:2026-03-09 出版日期:2026-04-28 发布日期:2026-06-04
  • 作者简介:杨天宇,中国人民大学应用经济学院教授|廖小萱,中国人民大学应用经济学院博士研究生
  • 基金资助:
    国家社会科学基金重大项目“中国特色社会主义政治经济学理论体系研究”(21&ZD070)

A Political Economic Analysis of Digital and Intelligent Transformation Driving the Optimization and Upgrading of Traditional Industries

Yang Tianyu, Liao Xiaoxuan   

  • Received:2026-03-09 Online:2026-04-28 Published:2026-06-04

摘要:

党的二十届四中全会明确提出“优化提升传统产业”“促进制造业数智化转型”。本文考察了数智化转型推动传统产业优化提升的理论逻辑和实践模式。研究发现,数智化推动传统产业在生产方式上实现了劳动过程智能化与产业组织网络化的双重变革。这一变革与既有生产关系在产权结构和分配方式领域发生矛盾,从而要求构建以数据产权界定与平台治理规范为核心的新型生产关系。当生产关系完成适应性调整后,传统产业在新的制度框架下可以充分释放数智化的潜能,最终实现从生产效率、组织形态到价值创造的全面优化提升。在此基础上,本文提出了智能化生产、服务化延伸、生态化协同与治理结构创新四种传统产业优化提升的实践模式。

关键词: 数智化转型, 传统产业, 优化提升, 新型生产关系

Abstract:

The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China explicitly proposed to "optimize and upgrade traditional industries" and "promote the digital and intelligent transformation of the manufacturing sector." This paper examines the theoretical logic and practical models of how digital and intelligent transformation drives the optimization and upgrading of traditional industries. The research finds that digital and intelligent transformation brings about a dual transformation in the mode of production of traditional industries: the intellectualization of the labor process and the networking of industrial organization. This transformation comes into conflict with existing relations of production in property rights and distribution, thus necessitating the establishment of new relations of production centered on the definition of data property rights and platform governance norms. Only after adaptive adjustments in relations of production can traditional industries fully unleash the potential of digital and intelligent transformation, ultimately achieving comprehensive optimization and upgrading in production efficiency, organizational forms, and value creation. Building on this analysis, the paper proposes four practical models for optimizing and upgrading traditional industries: intelligent production, servitization extension, ecological collaboration, and governance structure innovation.

Key words: digital and intelligent transformation, traditional industries, optimization and upgrading, new relations of production

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