摘要
基于黄河流域区域发展不协调现状以及新发展理念,从经济增长、产业结构、文化产业、绿色生态、对外开放、基础设施、创新能力7个维度出发,构建黄河流域九省区区域竞争力测度指标体系,采用熵权TOPSIS和空间变异系数法来评价和分析区域竞争力。结果表明:(1)2011—2020年黄河流域九省区区域竞争力水平在逐年提高;(2)区域竞争力水平高的省区集中在中下游地区,上游地区除四川外,其它省份的竞争力水平比较落后;(3)分维度来看,山东、四川两省在经济增长、文化产业、创新能力方面具有优势,山东的产业结构指标得分最高,内蒙古在绿色生态方面具有绝对优势,陕西、山东、四川的对外开放水平较高,山东在基础设施方面具有绝对优势。
Based on the current situation of uncoordinated regional development in the Yellow River Basin and the new development concept,the measuring index system of regional competitiveness of nine provinces(regions)in the Yellow River Basin is constructed from seven dimensions:economic growth,industrial structure,cultural industry,green ecology,openness to the outside world,infrastructure,and innovation capacity,and the entropy weight TOPSIS and spatial variation coefficient method are used to evaluate and analyze the regional competitiveness.The results show firstly that the regional competitiveness level of nine provinces(regions)in the Yellow River Basin is improving year by year from 2011 to 2020;secondly,the provinces(regions)with high regional competitiveness level are concentrated in the middle and lower reaches,and the competitiveness level of other provinces in the upper reaches is relatively backward except Sichuan;thirdly,by dimensions,Shandong and Sichuan provinces have advantages in economic growth,cultural industry and innovation ability,and Shandong has the highest industrial structure index scores;Inner Mongolia has an absolute advantage in green ecology,but Shaanxi,Shandong and Sichuan have a high level in opening up to the outside world;Shandong also has an absolute advantage in infrastructure.
作者
王艳
党栋霞
WANG Yan;DANG Dongxia(College of Economics and Management,Xi'an University of Technology,Xi'an,Shaanxi,710048,China)
出处
《西安石油大学学报(社会科学版)》
2023年第3期10-17,27,共9页
Journal of Xi’an Shiyou University:Social Science Edition
基金
国家社会科学基金重大项目“黄河流域生态环境保护与高质量发展耦合协调与协同推进研究”(21ZDA066)。
关键词
黄河流域
区域竞争力评价
区域差异
熵权TOPSIS
Yellow River Basin/Valley
regional competitiveness evaluation
regional differences
entropy weight TOPSIS