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中国数字乡村建设发展水平评价与时空特征分析

王刘坤 祁春节 曾光 杨敬元

统计与决策2024,Vol.40Issue(22):65-69,5.
统计与决策2024,Vol.40Issue(22):65-69,5.DOI:10.13546/j.cnki.tjyjc.2024.22.011

中国数字乡村建设发展水平评价与时空特征分析

Evaluation and Spatiotemporal Characteristics Analysis of the Development Level of China's Digital Village Construction

王刘坤 1祁春节 2曾光 2杨敬元3

作者信息

  • 1. 湖北经济学院 旅游与酒店管理学院,武汉 430205||湖北经济学院 碳排放权交易省部共建协同创新中心,武汉 430205
  • 2. 华中农业大学 经济管理学院,武汉 430070
  • 3. 神农架国家公园管理局,湖北 神农架 442400
  • 折叠

摘要

Abstract

This paper constructs an evaluation index system of China's digital village construction development level based on the provincial panel data from 2011 to 2021,and analyzes the spatial and temporal characteristics of digital village construc-tion development level by using entropy method,coefficient of variation method and Moran's index.The findings are as follows:The development level of China's digital village construction has been increasing year by year from 2011 to 2021,but it shows an obvious pattern of"high in the east coast and low in the west",and the regional development is unbalanced.There are large re-gional differences in the development level of China's digital village construction,and the differences are expanding,with large differences within the eastern,central and western regions.The development level of digital village construction has a significant positive spatial correlation and agglomeration effect,with the agglomeration phenomenon occurring in the eastern coastal regions centered on Hebei,Jiangsu,Zhejiang,Shandong and Fujian(high-high type agglomeration)and the regions centered on western provinces(low-low type agglomeration).

关键词

数字乡村建设/熵值法/变异系数法/莫兰指数/时空特征

Key words

digital village construction/entropy method/coefficient of variation method/Moran's index/spatiotemporal char-acteristics

分类

管理科学

引用本文复制引用

王刘坤,祁春节,曾光,杨敬元..中国数字乡村建设发展水平评价与时空特征分析[J].统计与决策,2024,40(22):65-69,5.

基金项目

国家自然科学基金青年项目(42201236 ()

42101236) ()

神农架国家公园本底资源综合调查研究项目(SNJNP2022001) (SNJNP2022001)

湖北经济学院科研项目(XJ23BS31) (XJ23BS31)

统计与决策

OA北大核心CHSSCDCSSCICSTPCD

1002-6487

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