摘要
基于2005—2019年长江经济带11个省市相关数据,构建绿色发展水平评价指标体系,采用熵权法测算绿色发展水平,利用探索性空间数据分析法探讨绿色发展水平的时空分异特征,采用逐步回归分析法揭示绿色发展水平的影响因素.结果表明:在时间上,长江经济带11个省市整体上绿色发展水平稳步上升.在空间上,上海市、江苏省和浙江省绿色发展水平相对较高,对周边省市辐射带动作用明显,但其余地区绿色发展水平相对较低. 11个省市绿色发展水平呈现出显著的空间集聚特征,但空间集聚有明显缩小的趋势.绿色发展水平的主要影响因素中,社会经济和资源环境因素的影响较大.
Based on the relevant data of 11 provinces and cities in the Yangtze River Economic Belt from 2005 to 2019,the evaluation index system of green development level was constructed,and the green development level was calculated by using the entropy weight method,using exploratory spatial data analysis to explore the spatial and temporal differentiation of green development level,and using stepwise regression analysis to reveal the impact of green development level factors.The results show that,in terms of time,the level of green development in the 11 provinces and cities of the Yangtze River Economic Belt as a whole has been steadily increasing.In terms of space,Shanghai,Jiangsu and Zhejiang have relatively high levels of green development,with obvious radiation-driven effects on neighboring provinces and cities,but the rest of the region has relatively low levels of green development.The green development level of 11 provinces and cities shows the obvious spatial agglomeration,but the spatial agglomeration has the obvious tendency to decrease.Among the main influencing factors of green development level,social economic and resource environment factors have a greater impact.
作者
游肖月
黎振强
YOU Xiaoyue;LI Zhenqiang(School of Economics and Management,Hunan Institute of Science and Technology,Yueyang 414006,China)
出处
《湖南理工学院学报(自然科学版)》
CAS
2023年第3期57-63,共7页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金
湖南省教育厅科学研究重点项目“数字经济发展和产业结构升级对长江经济带生态效率的影响效应研究”(22A0468)。
关键词
绿色发展
熵权法
探索性空间数据分析
逐步回归分析
长江经济带
green development
entropy weight method
exploratory spatial data analysis
stepwise regression analysis
Yangtze River Economic Belt