当代财经 ›› 2026, Vol. 0 ›› Issue (9): 83-97.

• 智能经济 • 上一篇    下一篇

中国区域智能经济发展水平测算及时空演变特征分析

徐政1, 施雄天2   

  1. 1.重庆市中国特色社会主义理论体系研究中心 重庆大学分中心,重庆 400044;
    2.云南大学 工商管理与旅游管理学院,云南 昆明 650500
  • 收稿日期:2026-03-25 修回日期:2026-07-13 出版日期:2026-09-15 发布日期:2026-09-14
  • 通讯作者: 施雄天(1997—),男,江苏南通人,云南大学博士研究生,主要从事科技创新管理研究,联系方式shixiongtian@stu.ynu.edu.cn。
  • 作者简介:徐政(1992—),男,江苏盐城人,重庆市中国特色社会主义理论体系研究中心研究员,经济学博士,主要从事国民经济管理研究。
  • 基金资助:
    江苏省社会科学基金项目“新质生产力对江苏降碳减污扩绿增长协同发展的影响效应研究”(25EYC012)

Measurement and Spatiotemporal Evolution of China’s Regional Intelligent Economy

XU Zheng1, SHI Xiongtian2   

  1. 1. Chongqing University Branch of the Chongqing Research Center for the Theoretical System of Socialism with Chinese Characteristics, Chongqing 400044, China;
    2. School of Business Administration and Tourism Management, Yunnan University, Kunming 650500, China
  • Received:2026-03-25 Revised:2026-07-13 Online:2026-09-15 Published:2026-09-14

摘要: 智能经济是在信息经济、数字经济演进的基础上形成的更高阶段的经济形态,其本质是数据、算法与算力深度融合,并通过智能要素基础、智能产业发展、智能融合应用和智能协同生态的系统性耦合,重塑生产、分配、交换、消费全过程。从智能经济的演化逻辑、内涵与特征出发,构建了包含智能要素基础、智能产业发展、智能融合应用和智能协同生态四个维度的智能经济发展水平测度指标体系,并运用改进后的熵权TOPSIS法、全排列多边形方法、Dagum基尼系数、核密度估计方法和时空马尔科夫链方法,测算了2013—2023年我国284个地级市智能经济发展水平。研究表明,总体上,我国智能经济发展水平持续提升,呈现由起步积累向加快提升再向质量优化的演进趋势;在区域发展上,东部领先、中西部持续追赶、东北总体提升但稳定性不足,区域差异扩大且以组间差异为主;智能经济发展水平具有明显的上行演进和路径依赖特征,低等级地区主要向相邻等级跃迁,而高等级地区锁定效应较强,且相邻地区的发展水平会影响本地区的状态转移。为此,要因地制宜,多维协同,跨区域联动,促进区域间智能经济发展水平协调发展。

关键词: 智能经济, 智能要素, 智能产业, 智能融合应用, 智能协同生态

Abstract: The intelligent economy represents an advanced economic form emerging from the evolution of the information economy and the digital economy. It is fundamentally characterized by the deep integration of data, algorithms, and computing power. Through the systematic coupling of intelligent factor endowments, intelligent industrial development, intelligent application integration, and an intelligent collaborative ecosystem, it reshapes the entire processes of production, distribution, exchange, and consumption. Based on the evolutionary logic, connotations, and characteristics of the intelligent economy, this study constructs an evaluation index system comprising four dimensions: intelligent factor endowments, intelligent industrial development, intelligent application integration, and Intelligent collaborative ecosystem. Using the improved entropy-weighted TOPSIS method, the all-permutation polygon method, the Dagum Gini coefficient, kernel density estimation, and the spatiotemporal Markov chain method, this study measures the level of intelligent economy development in 284 prefecture-level cities in China from 2013 to 2023. The findings indicate that: First, China’s intelligent economy has continuously improved overall, evolving from initial accumulation to accelerated development and subsequently to quality-oriented optimization; second, regionally, the eastern region remains the leader, while the central and western regions continue to catch up, and the northeastern region has improved overall but exhibits insufficient stability. Regional disparities have widened, primarily owing to interregional differences; third, the development of the intelligent economy displays clear upward mobility and path dependence. Low-level regions tend to transition to adjacent levels, whereas high-level regions exhibit a strong locking effect. Moreover, the development level of neighboring regions affects local state transitions. Accordingly, differentiated policies, multidimensional coordination, and cross-regional linkage should be advanced to promote the coordinated development of the intelligent economy across regions.

Key words: intelligent economy, intelligent factors, intelligent industry, intelligent application integration, intelligent collaborative ecosystem

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