管理评论

管理评论 ›› 2025, Vol. 37 ›› Issue (11): 3-14.

• •    下一篇

人工智能视域下新质生产力发展的理论逻辑与水平测度

陈晓红1,2,3, 黄骋东1,2, 袁依格2, 唐湘博2,3   

  1. 1. 中南大学商学院, 长沙 410083;
    2. 湘江实验室, 长沙 410205;
    3. 湖南工商大学前沿交叉学院, 长沙 410205
  • 收稿日期:2024-08-22 出版日期:2025-12-28 发布日期:2025-12-17
  • 作者简介:陈晓红，中国工程院院士，中南大学商学院教授，博士生导师；黄骋东，中南大学商学院博士研究生；袁依格（通讯作者），湘江实验室副研究员；唐湘博，湖南工商大学前沿交叉学院副教授。
  • 基金资助:
    国家自然科学基金项目（72088101）；湘江实验室重大项目（24XJJCYJ01005）。

The Theoretical Logic and Level Measurement of New-quality Productive Forces Development under the Perspective of Artificial Intelligence

Chen Xiaohong1,2,3, Huang Chengdong1,2, Yuan Yige2, Tang Xiangbo2,3   

  1. 1. School of Business, Central South University, Changsha 410083;
    2. Xiangjiang Laboratory, Changsha 410205;
    3. School of Frontier Crossover Studies, Hunan University of Technology and Business, Changsha 410205
  • Received:2024-08-22 Online:2025-12-28 Published:2025-12-17

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摘要： 把握人工智能视域下生产力的发展规律对推动生产力质变具有重要价值。本文将人工智能的变革性特征纳入理论分析框架，系统阐释新质生产力的概念内涵。基于生产力三要素理论，揭示了在人工智能改变社会生产方式的背景下，生产力系统通过要素内涵革新与组合优化实现质变跃迁的理论逻辑。在此基础上，进一步归纳了人工智能视域下生产力三要素的测度指标，提出了新质生产力的测算框架，依此测算了省级新质生产力发展现状。从空间维度可视化新质生产力发展的特征事实发现，新质生产力在省域间存在极化现象，在区域上呈现“沿海—沿江—内陆”的梯次发展格局。同时，新质生产力与经济水平的区域间非均衡发展在一定程度上重叠，不过，部分经济发展相对落后的省份已展现出利用新质生产力实现经济追赶的态势。本文旨在丰富新质生产力的理论体系，并通过测度新质生产力发展水平为利用人工智能推动生产力质变的实践提供决策支持。

关键词: 新质生产力, 人工智能, 生产力三要素, 生产力理论

Abstract: Grasping the developmental patterns of productivity under the perspective of artificial intelligence holds significant value for propelling the qualitative transformation of productivity. This paper incorporates the transformative characteristics of AI into the theoretical analytical framework and systematically elucidates the conceptual connotations of the new type of productivity. Based on the three-factor theory of productivity, it reveals the theoretical logic through which the productivity system achieves qualitative leaps by renewing the connotations of its elements and optimizing their combinations, under the context of AI altering the modes of social production. On this basis, the paper further summarizes the measurement indicators of the three elements of productive forces from the perspective of AI and proposes a framework for measuring new-quality productive forces. It then uses this framework to assess the current state of new-quality productive forces at the provincial level. From a spatial dimension, the visualization of the characteristics of new-quality productive forces development reveals a polarization phenomenon among provinces and a stepwise development pattern of “coastal—riverine—inland” regions. Meanwhile, the regional imbalanced development of new-quality productive forces overlaps to some extent with that of economic levels, although some provinces at relatively lower economic levels have already shown a trend of using new-quality productive forces to achieve economic catch-up. This paper aims to enrich the theoretical system of new-quality productive forces and provide decision-making support for the practical application of AI in driving qualitative changes in productive forces by measuring the level of new-quality productive forces development.

Key words: new quality productivity, artificial intelligence, three elements of productivity, productivity theory