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县域数字乡村建设水平的区域特征与动态演进

丁昱文 吕旭辉 何春

统计与决策2025,Vol.41Issue(21):42-48,7.
统计与决策2025,Vol.41Issue(21):42-48,7.DOI:10.13546/j.cnki.tjyjc.2025.21.007

县域数字乡村建设水平的区域特征与动态演进

Regional Characteristics and Dynamic Evolution of Digital Countryside Construction Level in Counties

丁昱文 1吕旭辉 2何春3

作者信息

  • 1. 西安交通大学 经济与金融学院,西安 710049
  • 2. 暨南大学 经济学院,广州 510632
  • 3. 河南财经政法大学 经济学院,郑州 450046
  • 折叠

摘要

Abstract

s:As a key development direction of rural revitalization strategy,the construction of digital countryside is of great significance for achieving common prosperity and the great rejuvenation of the Chinese nation.Based on the"County Digital Coun-tryside Index"released by the New Rural Development Research Institute of Peking University and Alibaba Research Institute,this paper uses the kernel density estimation method,Dagum Gini coefficient and its decomposition method,and Markov chain transfer matrix to analyze the regional characteristics and dynamic evolution of China's county-level digital countryside construc-tion level.The results go as the following:During the inspection period,the overall level of digital countryside construction in Chi-na's counties shows an upward trend,but there are significant regional differences;the differences in the level of digital country-side construction mainly come from inter-regional differences,with the largest regional differences between the eastern and west-ern regions,and the differences within the western region are significantly greater than those in other regions;the level of digital countryside construction in each county shows a phenomenon of"club convergence",and the probability of transfer varies at dif-ferent levels and across different intertemporal years.

关键词

县域/数字乡村建设水平/区域特征/动态演进/Dagum基尼系数/马尔可夫链

Key words

county territory/digital countryside construction level/regional characteristics/dynamic evolution/Dagum gini coefficient/Markov chain

分类

管理科学

引用本文复制引用

丁昱文,吕旭辉,何春..县域数字乡村建设水平的区域特征与动态演进[J].统计与决策,2025,41(21):42-48,7.

基金项目

国家自然科学基金资助项目(42201185) (42201185)

国家社会科学基金一般项目(24BJL103) (24BJL103)

河南省高等学校青年骨干教师培养计划支持项目(2023GGJS072) (2023GGJS072)

统计与决策

OA北大核心

1002-6487

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