安徽省各市经济发展的聚分类析.doc

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安徽省各市经济发展的聚分类析

安徽省各市经济发展的聚类分析 段凤君 (安徽师范大学,芜湖市 241000) 关键词:区域差异;主成分分析;指标体系;聚类分析 摘 要:本文着力于实现对安徽省各市按其经济发展水平进行聚类,以本省17个市为研究对象,选取衡量地区经济发展状况的经济规模、经济结构、居民生活水平、对外经济贸易及科学教育水平5个方面共14项指标,建立相应的统计指标体系。首先,为遵循选取指标体系时的无重复性原则,本文对14项指标进行了主成分分析,得出14项指标中可以提取出3个主成分,其累积方差贡献率达93.486%。其次,借助主成分函数给出了综合评价函数,对本省17个市进行了综合评价,并给出了排序。最后,借助各市的主成分得分、依据多元统计分析中的聚类分析方法,对17个市进行了聚类分析,最终将17个市分成5类地区,并结合分类结果提出了一些促进本省经济发展、缩小省内市间发展差异的建议。 The Cluster Analysis of the Economic Growth of Each City in Anhui Province Fengjun Duan(Anhui Normal University,Wuhu 241000) Key words: Regional differences; Principal Component Analysis; Index System; Cluster Analysis Abstract: This paper focuses on the realization of clustering of the cities in Anhui province according to their level of economic development, making the 17 city in the province be the research object, selecting 14 indicators in 5 aspects including economic scale, economic structure, the living standards of residents, foreign economic trade and science education level as full measure of regional economic development to establish the corresponding statistical index system. First of all, in order to follow the principle without repeatability when select the index system, this paper goes on principal component analysis with 14 indicators, getting the result 14 indicators can extract 3 principal components, and their cumulative variance contribution rate reaches 93.486%. Secondly, this paper gives the comprehensive evaluation function by means of the principal component functions, making comprehensive evaluation of 17 cities in the province, and giving the sort. Finally, 17 cities’ cluster analysis was carried out with the principal component scores of cities, basing on the cluster analysis method in multivariate statistical analysis, getting the results 17 cities are divided into 5 areas, and the paper puts forward some suggestions to promote the economic development and narrow the development difference between the cities combined with the classification results. 1 引言

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