长江流域资源与环境 >> 2024, Vol. 33 >> Issue (3): 487-497.doi: 10.11870/cjlyzyyhj202403003

• 区域可持续发展 • 上一篇    下一篇

长江经济带城市群绿色转型能力时空演变及短板分析

翁异静,杨月,许菲   

  1. (浙江科技大学经济与管理学院,浙江 杭州 310023)
  • 出版日期:2024-03-20 发布日期:2024-04-03

Space-time Evolution and Shortcomings on the Green Transformation Capabilities of Urban Clusters in the Yangtze River Economic Belt

WENG Yi-jing, YANG Yue, XU Fei   

  1. (School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou 310023, China)
  • Online:2024-03-20 Published:2024-04-03

摘要: 从推动城市转型的政府、企业、产业、居民这四大主体出发,构建城市绿色转型能力评价指标体系,运用TOPSIS模型对2010~2020年长江经济带城市群的绿色转型能力进行测度,运用区域不平衡指数、动态变动指数及探索性空间分析等方法揭示长江经济带各城市群绿色转型能力的时空演化、集聚变化及能力短板。结果表明:(1)2010~2020年长江经济带城市群绿色转型能力整体平稳增长,但增幅较缓,能力均值排名为“长三角>黔中>长江中游>成渝>滇中城市群”,区域不平衡指数呈“增长-下降-增长”的“N”型波动趋势,整体动态变动程度不高,动态变动指数较高的城市多位于中西部城市群,城市绿色转型能力存在空间聚集现象,但空间聚集性在2020年有所下降;(2)企业-产业是各城市群绿色转型能力的主要短板模式,企业的绿色转型能力是各城市群绿色转型能力提升的首要短板,产业的绿色转型能力是长江中游、成渝、黔中、滇中城市群的第二短板,而政府及居民的绿色转型能力对长三角城市群整体能力的影响在不断增强。


Abstract: We employed the four primary entities driving urban transformation: the government, corporations, industries, and local residents, and established an indicator system to evaluate urban green transformation capabilities. The TOPSIS model was applied to assess the green transformation capability of urban clusters in the Yangtze River Economic Belt (YREB) during the decade from 2010 to 2020. With the application of tools such as regional imbalance indices, dynamic change indices, and exploratory spatial data analysis, we recognized space-time evolutions, patterns of cluster and potential shortcomings within the green transformation capabilities of various urban clusters in the YREB. The results indicated that: (1) For the studied period, the green transformation capabilities of urban clusters in the YREB exhibited a general stable growth. On average, the capability hierarchy was "Yangtze River Delta > Central Guizhou > Middle Reaches of Yangtze River > Chengdu-Chongqing > Central Yunnan Urban Cluster". The regional imbalance index demonstrated the "N" shaped oscillation, following a "growth - decline - growth" trajectory. The overall level of dynamic changes remained relatively low, with cities exhibiting higher dynamic change indices predominantly positioned within the central and western urban clusters. There was noticeable spatial clustering of urban green transformation capabilities, although this phenomenon showed a slight reduction in 2020. (2) The business-industry axis was the principal shortcoming in all urban clusters' green transformation capability. The green transformation capability of businesses was the foremost shortcoming across all urban clusters, with the green transformation capability of industries being the secondary shortcoming in the Middle Reaches of Yangtze River, Chengdu-Chongqing, Central Guizhou, and Central Yunnan Urban Cluster. Simultaneously, the influence of the government and residents' green transformation capabilities on the overall performance of the Yangtze River Delta Urban Cluster had been progressively enhanced.

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