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作 者:郑国良 宋永朝[1] 沈佳 Zheng Guoiang;Song Yongchao;Shen Jia(School of Traffic&Transportation,Chongqing Jiaotong University,Chongqing 400074,China;School of Economics and Management,Chongqing Jiaotong University,Chongqing 400074,China)
机构地区:[1]重庆交通大学交通运输学院,重庆400074 [2]重庆交通大学经济与管理学院,重庆400074
出 处:《科技通报》2024年第8期107-112,119,共7页Bulletin of Science and Technology
基 金:云南省交通运输厅科技创新项目(2022-81)。
摘 要:城市公共交通和数字经济发展的良性互动对于推动城市发展、提升经济效益和改善居民生活具有重要的意义。本文基于耦合协调度模型和Dagum基尼系数分解法探究2011—2020年我国31个省份城市公共交通和数字经济耦合协调的时空演变特征、空间差异及其差异来源。研究结果表明:各省份城市公共交通和数字经济的耦合协调度整体呈现稳步上升态势;城市公共交通和数字经济耦合协调度较高的省份主要集中在东部沿海地区,其次是四川、重庆、陕西等经济相对较发达地区;城市公共交通和数字经济耦合协调度的总体空间差异整体呈现下降趋势;各区域城市公共交通和数字经济耦合协调度区域间差异较大是造成空间差异的主要原因,东部和西部地区的区域间差异最大,中部与西部地区差异最小。The positive interaction between urban public transportation and the digital economy is of great significance for promoting urban development,enhancing economic benefits and improving residents'lives.Based on the coupling coordination degree model and Dagum Gini coefficient decomposition method,this paper explores the spatio-temporal evolution characteristics,spatial differences and sources of the coupling coordination between urban public transportation and digital economy in 31 provinces of China from 2011 to 2020.The results show that the coupling coordination degree of urban public transportation and digital economy in all provinces shows a steady increase;The provinces with a high degree of coupling coordination between urban public transportation and digital economy are mainly concentrated in the eastern coastal areas,followed by Sichuan,Chongqing,Shaanxi and other relatively developed economic areas;The overall spatial difference of the coupling coordination degree of urban public transportation and digital economy shows a downward trend.The main reason for the spatial difference is the large inter-regional difference in the coupling coordination degree of urban public transportation and digital economy in different regions.The inter-regional difference is the largest in eastern and western regions,and the smallest in central and western regions.
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