湖北农业科学 ›› 2024, Vol. 63 ›› Issue (4): 242-250.doi: 10.14088/j.cnki.issn0439-8114.2024.04.043

• 乡村振兴 • 上一篇    下一篇

乡村振兴与农村基础设施耦合协调度及区域差异

许湘云, 王艳伟, 夏子涵, 任飞武   

  1. 云南农业大学建筑工程学院,昆明 650201
  • 收稿日期:2023-07-18 出版日期:2024-04-25 发布日期:2024-05-07
  • 通讯作者: 王艳伟(1980-),男,河南周口人,教授,博士,主要从事项目管理、农村基础设施研究,(电话)15887222626(电子信箱)2009030@ynau.edu.cn。
  • 作者简介:许湘云(1994-),女,云南普洱人,在读硕士研究生,研究方向为农村基础设施,(电话)13759119062(电子信箱)2068126513@qq.com。
  • 基金资助:
    国家自然科学基金项目(72261035); 云南省省院省校教育合作人文社科项目(SYSX202202); 云南省应用基础研究农业联合专项面上项目(202101BD070001-061); 云南“兴滇英才支持计划”青年人才专项(YNWR-QNBJ-2019-020)

Coupling coordination and regional differences in rural revitalization and rural infrastructure

XU Xiang-yun, WANG Yan-wei, XIA Zi-han, REN Fei-wu   

  1. College of Architecture and Engineering, Yunnan Agricultural University,Kunming 650201,China
  • Received:2023-07-18 Online:2024-04-25 Published:2024-05-07

摘要: 选取中国30个省(市、自治区)为研究对象,以2011—2020年数据为观察样本,使用熵权法与耦合协调度模型,测算研究期乡村振兴与农村基础设施的耦合协调发展水平,在此基础上结合Kernel密度估计和Dagum基尼系数,对比分析四大经济区域乡村振兴与农村基础设施之间的耦合协调度区域差异及动态演变趋势。结果表明,从整体来看,中国各省市乡村振兴与农村基础设施的耦合协调水平呈逐年上升趋势,各区域耦合协调发展水平由高至低依次是中部、东部、东北、西部;从动态分布看,中国东部地区和西部地区协调发展水平出现两级分化现象,耦合协调水平差异较大,这两个区域都存在耦合协调水平较高的省域;中国各省市乡村振兴与农村基础设施耦合协调总体水平的地区差异逐渐缩小,就差异来源而言,区域间差异是四大经济区域耦合协调发展差异的主要原因,但贡献率呈下降趋势,东北地区与西部地区之间的差距逐渐缩小。

关键词: 乡村振兴, 农村基础设施, 耦合协调度, Kernel密度估计, Dagum基尼系数, 地区差异

Abstract: The 30 provinces (municipalities and autonomous regions) in China were selected as the research subject, and data from 2011 to 2020 were used as observational samples. The entropy weight method and coupling coordination model were used to calculate the level of coupling coordination between rural revitalization and rural infrastructure during the research period. On this basis, combined with Kernel density estimation and Dagum Gini coefficient, the regional differences and dynamic evolution trends of coupling coordination between rural revitalization and rural infrastructure in the four major economic regions were compared and analyzed. The results showed that, overall, the coupling coordination level between rural revitalization and rural infrastructure in various provinces and cities in China showed an upward trend over the years. The regions with the highest to lowest levels of coupling coordination development were the central, eastern, northeastern, and western regions. In terms of dynamic distribution, the eastern and western regions of China exhibited a two-tier differentiation in coordination development levels, with significant differences between the two regions. Both regions had provinces with higher levels of coupling coordination. The regional differences in the overall level of coupling coordination between rural revitalization and rural infrastructure in China were gradually narrowing. Regarding the sources of differences, regional differences were the main factors contributing to the differences in coupling coordination development among the four major economic regions, but their contribution rates showed a downward trend. The gap between the northeastern and western regions was gradually narrowing.

Key words: rural revitalization, rural infrastructure, coupling coordination, Kernel density estimation, Dagum Gini coefficient, regional differences

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