基于改进最小方差法的汽车整车企业竞争力动态评价

国内外较少有文献对“汽车整车企业竞争力”进行动态综合评价,而动态性是竞争力的显著特征;针对这一情况,利用改进最小方差法对2010-2014年沪深两市22家汽车整车企业竞争力进行动态综合评价;结合K-Means聚类分析方法将企业分为竞争力较强、中等及较弱3类,并对分类结果进行分析;研究表明：改进最小方差法能够兼顾时间信息的稳定度及丰富度,可推广性强。

A Dynamic Evaluation on Competitiveness of the Automobile Enterprises Based on Improved Minimal Variability Method

There is less literature on dynamic competitiveness evaluation of the automobile enterprise both at home and abroad, however, dynamic is a remarkable feature of competitiveness, in order to solve this problem, this paper discusses an improved minimal variability method to evaluate the dynamic competitiveness of 22 automobile enterprises in Shenzhen and Shanghai during 2010-2014. Then combining with K-Means cluster analysis to classfies these enterprises into 3 kinds which can be called strong, average and weak competitiveness. Compared with the original method, the results show that improved minimal variability is more rational which can merge the stabilization and richness of temporal information,can be used in wider scope.