长江流域资源与环境 >> 2025, Vol. 34 >> Issue (6): 1193-.doi: 10.11870/cjlyzyyhj202506004

• 区域可持续发展 • 上一篇    下一篇

长江经济带资源型城市绿色发展效率时空分异与影响机制

李健1,2,高荣泽1,王晓祺1*,刘天麒1   

  1. (1.天津理工大学管理学院,天津 300384;2.天津大学管理与经济学院, 天津 300072)
  • 出版日期:2025-06-20 发布日期:2025-06-27

Spatio-temporal Variation and Influencing Mechanism of Green Development Efficiency in Resource-Based Cities along the Yangtze River Economic Belt

LI Jian1,2, GAO Rong-ze1, WANG Xiao-qi1,LIU Tian-qi1   

  1. (1.School of Management, Tianjin University of Technology, Tianjin 300384,China;
  • Online:2025-06-20 Published:2025-06-27

摘要: 摘要: 绿色发展是资源型城市转型升级的重要抓手。通过构建绿色发展效率评价体系,对长江经济带资源型城市2001~2021年绿色发展效率时空分异进行测算剖析,进而选择面板分位数回归模型探究其影响机制,最后引入地理探测器模型,考察不同因素间的交互作用效应。结果表明:(1)长江经济带38个资源型城市绿色发展效率整体呈“M”趋势,即上游资源型城市绿色发展效率略高于中下游城市,成长型城市绿色发展效率低于其他三类城市;(2)长江经济带资源型城市绿色发展效率在数量上趋近于正态分布,其空间非均衡性较为严重,其中上游资源型城市的变化是产生绿色发展效率差异的主导因素;(3)对外开放程度、科技投入强度、人口密度以及教育投入水平对长江经济带资源型城市绿色发展效率的提升作用明显,存在“人口-开放-教育”和“人口-开放-教育-科技”两种驱动机制以及“经济-交通-污染”和“经济-交通-资源”两种制约机制;(4)人口密度与对外开放程度和科技投入强度交互作用效果最好,在保持人口密度的基础上,提升对外开放程度和科技投入强度都能促进资源型城市绿色发展,注重因子间协调发展,加强区域间协同治理,以期为提升长江经济带各类资源型城市绿色发展效率提供科学依据。

Abstract: Abstract:Green development is crucial for the high-quality development of resource-based cities. This study proposed an evaluation system for green development efficiency(GDE), using the Theil index, panel quantile regression model, Geodetector to measure GDE in the Yangtze River Economic Belt(YREB)from 2001 to 2021. The spatiotemporal heterogeneity characteristics and associated driving factors as well as their interaction effect were analyzed. We concluded that:(1) The 38 resource-based cities in the YREB all exhibited an M-shaped trend; The upstream resource cities' GDE was marginally higher than that of the middle and downstream resource cities; The growing resource cities' GDE was lower than that of the other three types of cities; (2) The GDE of resource-based cities in YREB tended to have the normal distribution in quantity, resulting in a severe imbalance. The primary cause for the disparity in GDE was the alteration of upstream resource-based cities; (3) The degree of openness to the outside world, the amount of scientific and technological inputs, population density, and the amount of educational inputs contributed largely to the increasing GDE. We concluded that the two driving mechanisms were the “population-economic outward orientation-education” and “population-economic outward orientation-education-technology”, and the two restricting mechanisms were the “economy-transportation-pollution” and “economy-transportation-resources”; (4) Population density had the best interaction effect with the degree of opening to the outside world and the intensity of scientific and technological input. We should focus on the coordinated development of multi-factors, and strengthen the synergistic inter-regional governance to provide a scientific basis for improving the GDE of various resource-based cities in the YREB.

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