长江流域资源与环境 >> 2024, Vol. 33 >> Issue (10): 2285-2298.doi: 10.11870/cjlyzyyhj202410017

• “双碳”研究 • 上一篇    下一篇

长三角城市群碳减排与经济高质量发展时空耦合及驱动因素

朱智洺1,2,徐婕1,2*,林文雪1,2   

  1. (1. 河海大学经济与金融学院,江苏 南京 210000;2. 河海大学商学院,江苏 南京 210000)
  • 出版日期:2024-10-20 发布日期:2024-11-07

Spatial-temporal Coupling and Driving Factors of Carbon Emission Reduction and High-Quality Economic Development in Yangtze River Delta Urban Agglomeration

ZHU Zhi-ming1,2,XU Jie1,2,LIN Wen-xue1,2   

  1. (1. School of Economics and Finance,Hohai University,Nanjing 210000,China;2. Business School,Hohai University,Nanjing 210000,China)
  • Online:2024-10-20 Published:2024-11-07

摘要: 权衡好减排与发展的关系对于长三角城市群实现“双碳”目标和经济转型升级十分关键。在构建碳减排与经济高质量发展评价指标体系的基础上,运用耦合协调度、空间自相关模型及地理探测器,分析2006~2021年长三角城市群碳减排与经济高质量发展耦合协调度的时空演变特征及驱动因素。研究发现:(1)城市群碳减排和经济高质量发展综合水平在研究期内均呈上升趋势,但后者存在明显波动;(2)城市群碳减排与经济高质量发展协调发展态势向好但协调程度不高,内部区域协调程度之间差距较大;在协调类型上,勉强协调等级为主导,一般失调等级占比较少;(3)长三角城市群耦合协调度存在显著的空间分异和空间集聚现象;(4)时序上城市群协调度主要受绿色出行、城市绿化、结构调整、技术创新和公共服务供给5个因素影响,区域上由于江苏、浙江、安徽和上海的自然、经济环境不同,故驱动其协调度的因素之间存有差异。

Abstract: Balancing the relationship between emission reduction and development is crucial for the Yangtze River Delta urban agglomeration to achieve the "dual carbon" goal and economic transformation and upgrading. Based on the constructed evaluation index system of carbon emission reduction and high-quality economic development, this study analyzed the spatial-temporal evolution characteristics and the driving factors of the coupling coordination degree between carbon emission reduction and high-quality economic development from 2006 to 2021. The coupling coordination degree, spatial autocorrelation model and geographic detector were used. The results showed that:(1)the comprehensive level of carbon emission reduction and high-quality economic development in the urban agglomeration showed an increasing trend during the study period, but the latter had obvious fluctuations.(2)the coordination between carbon emission reduction and high-quality economic development was good, but the degree was not high, and there was a large gap between the coordination degree of the internal regions. In terms of coordination type, the reluctant coordination level was dominant, and the general dissonance level was relatively small.(3)the coupling coordination degree had significant spatial differentiation and spatial agglomeration.(4)the coordination degree of the urban agglomeration  was mainly affected by five factors, including green travel, urban greening, structural adjustment, technological innovation and public service supply. Regionally, due to the different natural and economic environments of Jiangsu, Zhejiang, Anhui and Shanghai,  differences in the factors driving the coordination degree were found.

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