摘要
使用聚类分析法和主成分分析法,将河南省18个市依照9个指标分为3个农业经济发展类别,即农业经济发展领先区、农业经济发展中等区和农业经济发展相对落后区;分析各类别的主要指标数据,发现各地区之间存在较大的差异。选取了影响农业经济发展水平的3个主成分,并计算各指标的权重,得出农业经济发展的综合得分模型,最后针对性地提出各类地区农业经济发展的决策与建议,为推动河南省农业经济发展提供借鉴。
Using cluster analysis and principal component analysis,18 cities in Henan province were divided into 3 agricultural economic development categories according to 9 indicators,namely,leading agricultural economic development area,middle agricultural economic development area and relatively backward agricultural economic development area.The main indicator data of each category is analyzed,and the results show that there are large differences among regions.Three principal components that affect the level of agricultural economic development are selected,and the weights of various indicators are calculated to obtain the comprehensive scoring model for agricultural economic development.Finally,decisions and suggestions for various areas of agricultural economic development are targeted to promote Henan provide reference for the development of agricultural economy.
作者
胡井军
薛梦瑶
HU Jing-jun;XUE Meng-yao(School of Business Administration,Hohai University,Changzhou 213022,Jiangsu,China)
出处
《湖北农业科学》
2020年第10期214-216,F0003,共4页
Hubei Agricultural Sciences
关键词
聚类分析
主成分分析
农业经济
河南省
cluster analysis
principal component analysis
agricultural economy
Henan province
