摘要
将数据包络分析方法(DEA)和主成分分析方法(PCA)结合,用投入产出比的相对有效性评价物流产业结构,并构建了DEA/PCA分析模型.以该模型为框架,分别采用DEA和PCA方法对物流产业结构进行评价与排序,然后将两方面的评价结果在由DEA和PCA组成的坐标系中直观地综合分析.可用该方法对各年的情况进行逐年评价,以做连续动态的对比和综合分析.
DEA (data envelopment analysis) and PCA (primary component analysis) were combined to evaluate the structure of logistics industry in terms of relative efficiency of input and output, and a model was presented. In this model, DEA and PCA are used respectively to evaluate and sort the structure of logistics industry, and the results are analyzed intuitively in a coordinate composed of DEA and PCA results. This method can also be used annually to get continuous analysis results.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2006年第5期599-602,共4页
Journal of Southwest Jiaotong University
基金
西南交通大学重点科技发展基金(2005A08).
关键词
物流产业
结构
数据包络分析
主成分分析
评价
logistics industry
structure
data evaluation envelopment analysis
primary component analysis