基于数据挖掘技术的湖南省县域乡村分类分析
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摘要
以数据挖掘为工具,结合县域经济发展理论,探究湖南省县域经济发展聚集态势.构建了湖南省县域经济发展评价指标体系,对数据集应用基于原型的二分K均值聚类、基于图的AGNES聚类、加权主成分距离聚类与基于密度的DBSCAN聚类,根据邻近度矩阵的相关度选择最优聚类方法 .结果显示,湖南省县域经济发展按特征可归为四类,各类县市特征显著,类别间发展差距较大.根据模型的理论结果对现有的湖南省政府乡村振兴三大发展梯队的划分进行调整,为地方政府实施乡村振兴战略提供一定的理论基础,具有较好的参考价值.
Taking data mining as a tool while combining the theory of county economy,this paper dedicates to detecting the potential patterns of county-level economic development in Hunan province.After the assessment index system of county economic development in Hunan province was constructed,four clustering algorithms of different type are applied to detect the development patterns of counties in Hunan province,the optimal method is selected by the principle of maximum correlation coefficient of the proximity matrix.The result shows that all county villages in Hunan province can be divided into four types according to their economic growth patterns.Each division has a distinctive feature,and development disparities exist between them.Adjustments are made to develop the three echelons partition proposed by Hunan Provincial Government,and may help local governments to carry out rural revitalization strategies.
Taking data mining as a tool while combining the theory of county economy,this paper dedicates to detecting the potential patterns of county-level economic development in Hunan province.After the assessment index system of county economic development in Hunan province was constructed,four clustering algorithms of different type are applied to detect the development patterns of counties in Hunan province,the optimal method is selected by the principle of maximum correlation coefficient of the proximity matrix.The result shows that all county villages in Hunan province can be divided into four types according to their economic growth patterns.Each division has a distinctive feature,and development disparities exist between them.Adjustments are made to develop the three echelons partition proposed by Hunan Provincial Government,and may help local governments to carry out rural revitalization strategies.
引文
[1]中共湖南省委湖南省人民政府.湖南省乡村振兴战略规划(2018—2022年)[DB/OL].http://hunan.voc.com.cn/article/201812/20181212105350983.html.
[2]湖南省统计局.湖南统计年鉴——2017[DB/OL].http://data.hntj.gov.ex2.tjj.ipv6.hunan.gov.cn/sjfb/tjnj/17tjnj/indexch.htm.
[3]湖南省统计局.湖南省各县区2017年国民经济和社会发展统计公报[EB/OL].http://www.hntj.gov.cn/tjfx/tjgb/xqtjgb/.
[4]湖南省环保厅.湖南省2018年重点排污单位名录[EB/OL].http://huanbao.bjx.com.cn/news/20180621/907528.shtml.
[5]湖南省扶贫开发办公室.湖南省到县贫困人口、贫困村数量数据[EB/OL].http://hnsfpb.hunan.gov.cn/xxgk_71121/ghjh/201703/t20170313_4082540.html.
[6]杨晓军,宁国良.县域经济:乡村振兴战略的重要支撑[J].中共中央党校学报,2018,22(6):119-124.
[7]伍鹏,景思江.绿色发展理念下县域经济绿色竞争力研究——以湖北省为例[J].特区经济,2018(4):127-130.
[8]何燕.城镇化和产业结构对县域经济增长影响的实证分析[J].统计与决策,2018,34(18):139-142.
[9]王玉胜.县域经济视角下的农业现代化问题探讨[J].农村经济与科技,2017,28(8):140.
[10]刘晓茜.省直管县改革对县域经济绩效和民生改善的影响[D].成都:西南交通大学,2018.
[11]吕岩威,李平.一种加权主成分距离的聚类分析方法[J].统计研究,2016,33(11):102-108.
[2]湖南省统计局.湖南统计年鉴——2017[DB/OL].http://data.hntj.gov.ex2.tjj.ipv6.hunan.gov.cn/sjfb/tjnj/17tjnj/indexch.htm.
[3]湖南省统计局.湖南省各县区2017年国民经济和社会发展统计公报[EB/OL].http://www.hntj.gov.cn/tjfx/tjgb/xqtjgb/.
[4]湖南省环保厅.湖南省2018年重点排污单位名录[EB/OL].http://huanbao.bjx.com.cn/news/20180621/907528.shtml.
[5]湖南省扶贫开发办公室.湖南省到县贫困人口、贫困村数量数据[EB/OL].http://hnsfpb.hunan.gov.cn/xxgk_71121/ghjh/201703/t20170313_4082540.html.
[6]杨晓军,宁国良.县域经济:乡村振兴战略的重要支撑[J].中共中央党校学报,2018,22(6):119-124.
[7]伍鹏,景思江.绿色发展理念下县域经济绿色竞争力研究——以湖北省为例[J].特区经济,2018(4):127-130.
[8]何燕.城镇化和产业结构对县域经济增长影响的实证分析[J].统计与决策,2018,34(18):139-142.
[9]王玉胜.县域经济视角下的农业现代化问题探讨[J].农村经济与科技,2017,28(8):140.
[10]刘晓茜.省直管县改革对县域经济绩效和民生改善的影响[D].成都:西南交通大学,2018.
[11]吕岩威,李平.一种加权主成分距离的聚类分析方法[J].统计研究,2016,33(11):102-108.