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中国共同富裕水平的空间关联网络结构及演进特征

王梦宇 马晓君 刘明花 陈瑞敏

统计与决策2024,Vol.40Issue(18):5-10,6.
统计与决策2024,Vol.40Issue(18):5-10,6.DOI:10.13546/j.cnki.tjyjc.2024.18.001

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

王梦宇 1马晓君 1刘明花 2陈瑞敏1

作者信息

  • 1. 东北财经大学 统计学院,辽宁 大连 116025
  • 2. 北京城建安装集团有限公司,北京 102600
  • 折叠

摘要

Abstract

Based on the connotation of common prosperity,this paper constructs an evaluation index system of common pros-perity,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 re-gions,but the growth rates in the central,northeastern,and western regions were significantly higher than those in the eastern re-gion.(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 con-siderable room for improvement.(3)The spatial correlation network of China's common prosperity level shows a distinct core-pe-riphery 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.

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

Key words

common prosperity level/spatial correlation network/social network analysis/spatial evolution characteristics

分类

管理科学

引用本文复制引用

王梦宇,马晓君,刘明花,陈瑞敏..中国共同富裕水平的空间关联网络结构及演进特征[J].统计与决策,2024,40(18):5-10,6.

基金项目

国家社会科学基金重大项目(21&ZD148) (21&ZD148)

全国统计科学研究重点项目(2023LZ024) (2023LZ024)

辽宁省社会科学规划基金重大委托项目(L23ZD053) (L23ZD053)

统计与决策

OA北大核心CHSSCDCSSCICSTPCD

1002-6487

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