摘要
基于主成分、K-均值聚类分析法,借助SPSS20.0软件,从空间的视角选取江苏省2016年13个地级市的数据,对江苏省第三产业发展水平进行了评价研究。研究结果表明:由主成分分析法得出影响江苏省第三产业发展水平的7个评价指标综合成两大主要指标,并命名为第三产业发展规模因子和第三产业发展结构因子;运用聚类分析法,江苏省的13个地级市分为了三大类。此分析对进一步改善和提高江苏省第三产业水平具有一定的指导意义。
Based on Principal Component and K-Mean Clustering analysis,with SPSS20. 0 software and the data of 13 prefecture-level cities in Jiangsu province in 2016,the development level of the tertiary industry in Jiangsu province was evaluated and studied. The seven comprehensive evaluation indexes that affected the development of the tertiary industry in Jiangsu province has been divided into two major indicators,and named them as the scale and structure factors of the tertiary industry development. With the cluster analysis,13 prefecture-level cities in Jiangsu province are divided into three categories.
作者
周荣
Zhou Rong(School of Economics and Management,Anhui University of Technology,Huainan,Anhui,232001,China)
出处
《黑龙江工业学院学报（综合版）》
2018年第8期51-55,共5页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
基金
安徽省社科联项目(编号:A2014050)
安徽省教育厅人文社会科学重大项目(编号:SK2015Z012)
关键词
第三产业发展水平
主成分分析
聚类分析
江苏省
development level of tertiary industry
principal component analysis
clustering analysis
Jian-gsu province
