期刊文献+

中国共同富裕水平的空间关联网络结构及演进特征

The Spatial Correlation Network Structure and Evolution Characteristics of China’s Common Prosperity Level
下载PDF
导出
摘要 文章基于共同富裕内涵,构建共同富裕评价指标体系,采用熵权TOPSIS法、修正的引力模型、社会网络分析法、Markov模型分析中国共同富裕水平的空间关联网络特征和演进趋势。研究发现:(1)样本期内中国总体和省域共同富裕水平呈上升趋势。2021年东部地区共同富裕水平高于东北、中部和西部地区,但中部、东北、西部地区的增长速度显著高于东部地区。(2)样本期内形成以北京、上海、江苏、浙江、天津为核心的空间关联网络,此网络通达性较强、等级性较低,网络较为稳定,网络密度上升且存在较大的提升空间。(3)中国共同富裕水平的空间关联网络呈现明显的“核心-边缘”结构特征,核心区省份数量增加,边缘区之间的网络密度相对较低。(4)省域共同富裕水平的提升是逐步递进的过程,且存在显著的空间相关性。 Based on the connotation of common prosperity,this paper constructs an evaluation index system of common prosperity,employs the entropy weight TOPSIS method,modified gravity model,social network analysis method and the Markov model to analyze the spatial correlation network characteristics and evolution trend of common prosperity level in China.The findings go as the following:(1)During the sample period,the overall and provincial common prosperity level in China showed an upward trend.In 2021,the common prosperity level in the eastern region was higher than that in the northeastern,central,and western regions,but the growth rates in the central,northeastern,and western regions were significantly higher than those in the eastern region.(2)During the sample period,a spatial correlation network with Beijing,Shanghai,Jiangsu,Zhejiang and Tianjin as the core was formed.This network exhibits strong accessibility,low hierarchy,relative stability,network density increase and there is considerable room for improvement.(3)The spatial correlation network of China’s common prosperity level shows a distinct core-periphery structure,with an increase in the number of core provinces and relatively low network density among peripheral regions.(4)The improvement in the level of provincial common prosperity is a gradual process,with significant spatial correlation.
作者 王梦宇 马晓君 刘明花 陈瑞敏 Wang Mengyu;Ma Xiaojun;Liu Minghua;Chen Ruimin(School of Statistics,Dongbei University of Finance and Economics,Dalian Liaoning 116025,China;Beijing Urban Construction Installation Group Co.,Ltd.,Beijing 102600,China)
出处 《统计与决策》 CSSCI 北大核心 2024年第18期5-10,共6页 Statistics & Decision
基金 国家社会科学基金重大项目(21&ZD148) 全国统计科学研究重点项目(2023LZ024) 辽宁省社会科学规划基金重大委托项目(L23ZD053)。
关键词 共同富裕水平 空间关联网络 社会网络分析 空间演进特征 common prosperity level spatial correlation network social network analysis spatial evolution characteristics
  • 相关文献

参考文献13

二级参考文献228

共引文献1407

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部