摘要
Abstract
This study focused on 11 provinces(municipalities)in the Yangtze River Economic Belt,constructed a comprehensive evaluation index system for"carbon emissions,transportation,and regional economy",and adopted the super-efficiency slack-based measure(SBM)model,entropy weight method,coupling coordination model,Moran's I,and grey correlation degree model to analyze the coupling coordination degree and temporal-spatial pattern of the three from 2013 to 2022.The results show that:① regional disparities in carbon emission efficiency within the Yangtze River Economic Belt are pronounced,with only Shanghai,Zhejiang,and Jiangsu reaching the effective level.② The average coupling degree among the three aspects stands at 0.96,indicating a high-level coupling stage with significant interactive effects.③ The coupling coordination degree shows a trend of first rising and then falling in terms of time and a gradient difference of"downstream>midstream>upstream"in terms of space.The downstream achieves low-carbon leadership by relying on transportation networks and economic advantages,while the midstream and upstream are restricted by transportation development shortcomings and high-energy-consuming industry dependence,leading to lagging improvement in coordination degree.In the future,it is necessary to accelerate transportation development and improve carbon emission efficiency.关键词
交通运输/碳排放/区域经济/耦合协调度/超效率SBM/灰色关联度/莫兰指数Key words
Transportation/Carbon Emission/Regional Economy/Coupling Coordination Degree/Super-Efficiency SBM/Grey Correlation Degree/Moran's I
