新常态下文山州县域经济发展的灰色关联聚类分析
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摘要
根据2016年的最新统计数据,运用灰色关联聚类分析方法对文山州8县(市)域的经济发展水平差异进行综合分析评价。结果表明:文山州8县(市)县域经济发展水平总体可以分为三类,文山市属于第1类经济发展最好的县域,富宁、广南、马关、丘北、砚山5个县属于第2类经济次发展县域,麻栗坡和西畴属于第3类经济发展较弱的县域。
According to the latest statistics in 2016, differences in the level of economic development of eight counties in Wenshan Prefecture are analyzed and evaluated comprehensively with the method of grey correlation cluster analysis. The results show that the level of economic development of the eight counties in Wenshan Prefecture can be divided into three classes. To be specific, Wenshan County is the "Class 1" county with the best economic development; Funing, Guangnan, Maguan, Qiubei and Yanshan are the "Class 2" counties with better economic development; Malipo and Xichou are the "Class 3" counties relatively backward in economic development.
According to the latest statistics in 2016, differences in the level of economic development of eight counties in Wenshan Prefecture are analyzed and evaluated comprehensively with the method of grey correlation cluster analysis. The results show that the level of economic development of the eight counties in Wenshan Prefecture can be divided into three classes. To be specific, Wenshan County is the "Class 1" county with the best economic development; Funing, Guangnan, Maguan, Qiubei and Yanshan are the "Class 2" counties with better economic development; Malipo and Xichou are the "Class 3" counties relatively backward in economic development.
引文
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[2]张荣艳,孙贵玲.全国区域经济发展水平的灰色关联聚类分析[J].四川理工学院学报(自然科学版),2016(2):95-100.
[3]门可佩,周丽.江苏区域经济发展水平的灰色关联聚类分析[J].安徽农业科学,2007(20):6243-6244.
[4]许云飞.灰色聚类分析方法介绍[J].山东交通科技,1999(5):41-44.
[5]孙中刚,徐丽.北京市经济增长灰色预测及相关产业的关联分析[J].商业经济研究,2015(10):131-133.