湖北农业科学 ›› 2020, Vol. 59 ›› Issue (10): 214-217.doi: 10.14088/j.cnki.issn0439-8114.2020.10.048

• 经济·管理 • 上一篇    

基于聚类分析和主成分分析的河南省农业经济评价研究

胡井军, 薛梦瑶   

  1. 河海大学企业管理学院,江苏 常州 213022
  • 收稿日期:2019-06-20 出版日期:2020-05-25 发布日期:2020-08-03
  • 通讯作者: 薛梦瑶(1998-),女,河南三门峡人,研究方向为信息管理与信息系统,(电话)18360825957(电子信箱)yao_xmy@126.com。
  • 作者简介:胡井军(1972-),男,内蒙古克什克腾旗人,硕士,主要从事企业管理研究,(电话)13861281172(电子信箱)19981308@hhu.edu.cn。

Study on agricultural economic evaluation of Henan province based on cluster analysis and principal component analysis

HU Jing-jun, XUE Meng-yao   

  1. School of Business Administration,Hohai University,Changzhou 213022,Jiangsu,China
  • Received:2019-06-20 Online:2020-05-25 Published:2020-08-03

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。

关键词: 聚类分析, 主成分分析, 农业经济, 河南省

Abstract: 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.

Key words: cluster analysis, principal component analysis, agricultural economy, Henan province

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