基于主成分和聚类分析的中国省域经济发展水平分析

Research on the Development Level of China's Provincial Economy Based on Principal Component Analysis and Cluster Analysis

根据中国统计年鉴公布的2015年全国31个省市、自治区经济发展数据,选取相应指标反映经济发展状况,并通过SPSS多元统计分析软件的主成分分析与聚类分析方法对我国各省域经济发展水平进行评价。结果表明,目前中国各省域经济发展很不平衡,特别是中西部对比东部地区的差异尤为明显;同时,经济发展速度也快慢不一,个别落后省份经济增长速度相对迟缓;各地区经济发展方向也存在较大差异,内陆省份的外商投资较低、R&D经费投入不足。最后,根据实证结果进行划类分析,提出相应的对策与建议。

According to 2015 the country's 31 provinces, autonomous regions and economic development data released by China Statistical Yearbook, selecting appropriate indicators reflecting the economic development, this article is evaluating China's provincial economic development level by multivariate statistical analysis software SPSS the principal component analysis and cluster analysis method. Results show that, China's provincial economic development is very uneven at present, especially comparative differences between in the eastern part and Midwest. And the speed of economic development is also different, underdeveloped provinces' relatively slower. There are considerable differences in the direction of economic development in all regions, that foreign investment in inland provinces are lower and the investment in R&D is in short run. Finally, classified the empirical result analysis, we propose appropriate countermeasures and suggestions.