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中国城市群一体化水平测度及趋势演进 被引量:3

Measurement and Trend Evolution of China’s Urban Agglomeration Integration Level
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摘要 文章结合中国八大经济圈选取八大城市群,在新发展理念的基础上,创建包含31项基础指标的中国城市群一体化水平评价指标体系,运用熵权法确定各指标的客观权重,测度八大城市群一体化水平,并对其演进趋势进行系统性分析。研究发现:各城市群一体化水平存在明显差异,海峡西岸和长三角城市群一体化水平较高,在考察期内,八大城市群一体化水平整体上均有所降低。在不考虑空间因素作用的条件下,各城市群一体化水平均具有“马太效应”,且城市群存在显著的“俱乐部趋同”现象;考虑空间因素后,城市群内各地区受相邻地区影响的情况不尽相同。 Based on the new development concept,this paper first selects eight major urban agglomerations from eight major economic circles in China,and constructs an evaluation index system of China’s urban agglomeration integration level including 31 basic indicators.Then the paper uses the entropy weight method to determine the objective weight of each indicator,and measures the integration level of the eight major urban agglomerations.Finally,the paper systematically analyzes its evolution trend.The research findings are as follows:There are significant differences in the integration level of urban agglomerations.The integration level of urban agglomerations in the west coast of the Straits and the Yangtze River Delta is significantly higher,and the integration level of the eight major urban agglomerations decreases during the survey period.Without considering the role of spatial factors,the integration level of each urban agglomeration has a Matthew Effect,and there is a significant“club convergence”phenomenon in urban agglomerations.After considering the spatial factors,the influence of each region within the urban agglomeration on its neighboring regions is different.
作者 吕承超 杨珊珊 Lyu Chengchao;Yang Shanshan(College of Economics and Management,Qingdao University of Science and Technology,Qingdao Shandong 266100,China)
出处 《统计与决策》 CSSCI 北大核心 2023年第8期40-45,共6页 Statistics & Decision
关键词 一体化水平 评价指标体系 Dagum基尼系数 Kernel密度分析法 Markov链分析法 integration level evaluation index system Dagum Gini coefficient Kernel density analysis Markov chain analysis
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