Coupling coordination and influencing factors of rural revitalization,new urbanization and ecological environment in Yunnan Province
Taking Yunnan Province as the research object,this paper constructed a coupling and coordination evaluation index sys-tem based on the coupling and synergistic relationship between rural revitalization,new urbanization,and ecological environment.This paper used the entropy method,coupling coordination degree model,Dagum Gini coefficient decomposition method,and panel Tobit model to calculate the coupling and coordination development level,spatio-temporal evolution characteristics,regional differences,and influencing factors of Yunnan Province and 16 prefectures and cities from 2005 to 2020.The results showed that:①The comprehensive evaluation index,coupling degree,and coordination degree of Yunnan Province showed an overall upward trend,but the overall level of the three still needed to be improved.②The degree of interaction among the three major systems in Yunnan Province was gradually in-creasing,and the spatial differences of coupling types were gradually decreasing.The spatial differences in the coupling and coordination degree of the three were more obvious,showing a differentiation feature of central Yunnan＞western Yunnan＞southern Yunnan＞east-ern Yunnan.The growth rate of coordination degree was highest in Baoshan City,Lincang City,and Wenshan Prefecture.③The overall Gini coefficient was gradually decreasing,and the urban-rural gap between different regions was still the main reason for the changes in the Gini coefficient of Yunnan Province.④ The level of economic development,government capacity,level of opening up to the outside world,and tourism vitality generally had a positive promoting effect on rural revitalization,new urbanization,and ecological environment in Yunnan Province.However,the level of industrial duality structure was not conducive to the coordinated development of the three.The factors that affected the coupling coordination of the three have significant regional differences.
国家科技期刊平台
NSTL
万方数据
维普
