DEA/PCA Evaluation of the Structures of Logistics Industry
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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.Abstract: 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.
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Key words:
- logistics industry /
- structure /
- data envelopment analysis /
- primary component analysis /
- evaluation
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TONEK.A free and a new measure of efficiency[J].J.Ops.Res.Soc.,1993,36(3):23-33.[2] 杜纲,郭均鹏,张建国,等.产业经济评价的DEA/PCA分析模型[J].天津大学学报:社会科学版,2000(4):311-314.DU Gang,GUO Junpeng,ZHANG Jianguo,et al.A DEA/PCA analysis model[J].Journal of Tianjin University:Social Science Edition,2004(4):311-314.[3] MICHAEL Q,BRYANJ.Logistics:an integrated approach[M].New York:Athenaeum Press Ltd.,1999:52-95.[4] CHARNES A.Using DEA to evaluate relative efficiencies in the economic performance of Chinese city[J].Socio-Econ.Plann.Sci.,1989(23):325-344.[5] 魏权龄.评价相对有效性的DEA方法[M].北京:中国人民大学出版社,1988:21-23. -
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