长江流域资源与环境 >> 2024, Vol. 33 >> Issue (2): 271-284.doi: 10.11870/cjlyzyyhj202402004

• 区域可持续发展 • 上一篇    下一篇

长江中游城市群城市创新潜力的分布动态与空间收敛性研究

郑准1,2,陈曦   

  1. (1.湖南第一师范学院商学院,湖南 长沙 410205;2.中南大学商学院,湖南 长沙 410083)
  • 出版日期:2024-02-20 发布日期:2024-03-06

Study on the Distribution Dynamics and Spatial Convergence of Urban Innovation Potential in the  Yangtze River Middle Reaches Urban Agglomeration

ZHENG Zhun1,2, CHEN Xi1   

  1. (1. Business School, Hunan First Normal University, Changsha 410205,China;2. Business School, Central South University,Changsha 410083,China)
  • Online:2024-02-20 Published:2024-03-06

摘要: 通过科学构建城市创新潜力的指标体系,以2001~2020年长江中游城市群各城市相关数据为基础,运用GIS可视化分析、全局空间自相关模型、标准差椭圆分析长江中游城市群城市创新潜力的空间分布特征,采用非参数核密度估计以及马尔可夫链转移矩阵揭示其动态演进趋势,基于变异系数法开展σ收敛和β收敛分析以阐释其空间收敛规律。研究发现,长江中游城市群城市创新潜力空间分布上具有方向性、空间关联性与空间扩散性特征,早期区域东部城市创新潜力弱于西部,后期则西部略强于东部,3个省会城市中、武汉和长沙创新潜力呈现明显优势;从动态演化来看,长江中游城市群城市创新潜力整体呈一体化和均衡化趋势;空间收敛分析显示区域内各城市创新潜力的收敛特征和追赶效应显著。基于研究结论,长江中游城市群应利用创新“增长极”效应,充分发挥武汉、长沙和南昌的创新中心枢纽和辐射作用,合力构建跨区域创新资源共享和协同创新平台,全面提升城市科技创新能力和科技成果转化能力,实现创新潜力向创新能力和水平的有效转化。

Abstract: By scientifically constructing an index system for urban innovation potential and using relevant data from the cities in the Yangtze River middle reaches urban agglomeration from 2001 to 2020, this study employed GIS visualization analysis, global spatial autocorrelation models, and standard deviation ellipse analysis to illustrate the spatial distribution characteristics of urban innovation potential in this region. Non-parametric kernel density estimation and Markov chain transition matrices were used to reveal its dynamic evolution trend, and σ-convergence and β-convergence analyses were conducted based on the coefficient of variation method to explain its spatial convergence law. This study found that the spatial distribution of urban innovation potential in the Yangtze River middle reaches urban agglomeration had directional, spatial correlation, and spatial diffusion characteristics. In the earlier stage, the innovation potential of eastern cities was weaker than that of western cities, while in the later stage, the western cities were slightly stronger than the eastern ones. Among the three provincial capital cities, Wuhan and Changsha had a significant advantage in innovation potential. In terms of dynamic evolution, the overall trend of urban innovation potential showed an integration and balance. Spatial convergence analysis showed that the convergence characteristics and catch-up effects of innovation potential among cities in the region were significant. Based on the research conclusions, the Yangtze River middle reaches urban agglomeration should stimulate and utilize the "growth pole" effect of innovation, fully leverage the innovation hub and the radiation role of Wuhan, Changsha, and Nanchang, jointly build cross-regional innovation resource sharing and collaborative innovation platforms, comprehensively enhance the urban scientific and technological innovation capabilities and technology transformation abilities, and achieve effective transformation of innovation potential into innovation capabilities and levels.

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