摘要
为更好地为提升中部地区农业经营主体收入提供参考依据,采用SPSS聚类、主成分分析法和灰色关联分析法对农业经营主体收入进行研究。结果表明:地区聚类分为3类,湖北省为农业经营主体高收入类型,安徽、湖南、江西、河南4省份农业经营主体聚在中收入类群,山西农业经营主体收入最低。3个代表省份的主成分分析和灰色关联分析结果有较大差异,主成分特征向量和指标影响力排序是制定农业经营主体增收政策的重要参考和依据。
In order to provide basis of improving the income of agricultural operators in central China,SPSS clustering,principal component analysis and grey relational analysis methods were used to research.The results showed that:The regional clustering was divided into three categories,Hubei Province was clustered as a high income type,Anhui,Hunan,Jiangxi,and Henan belonged to the middle income areas,Shanxi Province belonged to low-income region.The results of principal component analysis and grey correlation analysis of three representative provinces were quite different.When the policy of increasing income of agricultural business entities was formulated,principal component eigenvectors and index influence ranking should be taken as important reference and basis.
作者
赵奇
罗青
陈丽培
郑钧屏
徐艳花
ZHAO Qi;LUO Qing;CHEN Li-pei(School of Life Science,Zhengzhou Normal University,Zhengzhou,Henan 450052)
出处
《安徽农业科学》
CAS
2021年第9期221-224,共4页
Journal of Anhui Agricultural Sciences
基金
教育部人文社会科学研究青年基金项目(19YJCZH263)
河南省教育厅高等学校重点科研项目(19A180033)。
关键词
中部地区
SPSS统计分析
农业经营主体收入
聚类分析
主成分分析
灰色关联分析
Central region
SPSS statistical analysis
Income of agricultural business entities
Clustering analysis
Principal component analysis
Grey relation analysis
