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干旱区地理 ›› 2025, Vol. 48 ›› Issue (6): 1031-1042.doi: 10.12118/j.issn.1000-6060.2024.702 cstr: 32274.14.ALG2024702

• 人口与城市研究 • 上一篇    下一篇

黄河流域地级市绿色发展水平测度与空间收敛性研究

任诗琦(), 王永瑜()   

  1. 兰州财经大学统计与数据科学学院,甘肃 兰州 730020
  • 收稿日期:2024-11-14 修回日期:2024-12-19 出版日期:2025-06-25 发布日期:2025-06-18
  • 通讯作者: 王永瑜(1965-),男,博士,教授,主要从事环境经济统计研究. E-mail: yongyu_wang@163.com
  • 作者简介:任诗琦(1997-),女,博士研究生,主要从事资源环境统计研究. E-mail: shiqi_ren@163.com
  • 基金资助:
    国家社会科学基金项目(22BTJ002);甘肃省教育厅“双一流”科研重点项目(GSSYLXM-06)

Measurement and spatial convergence of green development level of prefecture-level cities in the Yellow River Basin

REN Shiqi(), WANG Yongyu()   

  1. School of Statistics and Data Science, Lanzhou University of Finance and Economics, Lanzhou 730020, Gansu, China
  • Received:2024-11-14 Revised:2024-12-19 Published:2025-06-25 Online:2025-06-18

摘要: 绿色发展是推动黄河流域生态保护和高质量发展的关键举措。以2006—2021年黄河流域81个地级市为研究对象,基于绿色发展的逻辑与内在机理构建综合评价指标体系,应用熵权法、核密度估计、β收敛模型等方法探究黄河流域地级市绿色发展水平、分布特征与空间收敛性。结果表明:(1) 黄河流域地级市绿色发展水平呈上升趋势,游段间形成了“下游>中游>上游”的发展格局,地级市间差异显著。(2) 核密度曲线峰值分布不均、宽度变窄且存在右拖尾现象,绿色发展水平存在不均衡性,部分地级市绿色发展水平较高且与其他地级市间的差距较大。(3) 全流域及三大游段绿色发展水平均存在显著的绝对β收敛与条件β收敛,收敛速度呈“上游>中游>下游”的增长态势。此外,三大游段地级市绿色发展水平在收敛过程中存在差异化的空间溢出效应。研究结论对提高黄河流域地级市绿色发展水平及促进流域协调发展具有重要的现实意义。

关键词: 绿色发展水平, 统计测度, 分布特征, 空间收敛性, 黄河流域

Abstract:

Green development represents s critical approach for advancing ecological protection and high-quality development in the Yellow River Basin. This study examines green development patterns across 81 prefecture-level cities in the Yellow River Basin from 2006 to 2021. Based on the logical framework and internal mechanisms of green development, we constructed a comprehensive evaluation index system and employed the entropy weight method, kernel density estimation, and β convergence models to analyze development levels, distribution characteristics, and spatial convergence. Our analysis revealed three key findings: (1) Temporal and spatial patterns: Green development levels across prefecture-level cities in the Yellow River Basin demonstrated consistent improvement throughout the study period. A clear spatial gradient emerged with downstream regions outperforming midstream areas, which in turn surpassed upstream regions. Significant differences persist between individual prefecture-level cities. (2) Distribution characteristics: Kernel density analysis showed uneven peak distribution with a narrow width and pronounced right tail extension, indicating a substantial imbalance in green development levels. Some cities have achieved notably high green development levels, creating significant gaps compared to other urban cities in the basin. (3) Convergence dynamics: Both absolute β convergence and conditional β convergence were statistically significant across the entire basin and within the three major river sections. Convergence rates followed an “upstream>midstream>downstream” progression. Additionally, differentiated spatial spillover effects were observed in green development levels across the three major convergence processes. These findings over valuable insights for enhancing green development levels in prefecture-level cities throughout the Yellow River Basin and promoting coordinated regional development strategies that address the identified spatial disparities.

Key words: level of green development, statistical measure, distribution characteristics, spatial convergence, Yellow River Basin