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基于DEA和因子分析法的安徽省物流发展现状实证分析--基于安徽省2011年各地市物流相关统计数据
引用本文:胡晓宇.基于DEA和因子分析法的安徽省物流发展现状实证分析--基于安徽省2011年各地市物流相关统计数据[J].铜陵学院学报,2013(6):18-21,61.
作者姓名:胡晓宇
作者单位:铜陵学院,安徽 铜陵244000
摘    要:基于DEA模型,通过建立物流投入指标,分析2011年安徽省16个地市的物流投入产出效率。结论表明:以合肥为代表的7个地市物流投入产出达到DEA有效;以阜阳为代表的9个地市存在投入和产出冗余;总体来看,安徽省物流投入产出平均总体效率、平均纯技术效率、平均规模效率分别为0.83、0.89、0.92,说明安徽省物流效率偏低的主要原因是纯技术效率偏低造成的,物流投入存在浪费现象,产出还有很大发展空间。为了提升物流效率,使用因子分析法对安徽省物流产业发展影响因素进行分析,根据3个主要影响因子,提出了物流发展改进策略。

关 键 词:安徽  物流  因子分析法

Analysis of Logistics Development Situation in Anhui Province Based on DEA Model and Factor Analysis---Based on statistical data related to logistics in 2011 from 16 prefecture cities in Anhui Province
Hu Xiao-yu.Analysis of Logistics Development Situation in Anhui Province Based on DEA Model and Factor Analysis---Based on statistical data related to logistics in 2011 from 16 prefecture cities in Anhui Province[J].Journal of Tongling College,2013(6):18-21,61.
Authors:Hu Xiao-yu
Abstract:logistics input-output evaluation system is established, based on DEA model, 2011year, 16 prefecture cities in Anhui province and regious of logistics input-output efficiency are analyzed. Result shows that 7 prefectures, represented by Hefei, are DEA ef-fective; the 9 prefectures, represented by Fuyang, have input lack and lower output efficiency.The average overall efficiency of logistics input-putput, average pure technical efficiency and average pure scale efficiency are0.83,0.89,0.92, respectively, which explain the lower pure technical efficiency is the main reason for lower logistics efficiency in Anhui, logistics input exists the serious waste, logistics output has large development space. In order to improve logistics efficiency,the author applies factor analysis to study the factors of logistics de-velopment in Anhui province, and proposed three main factors, and accordingly proposed strategies to improve logistics development in Anhui province.
Keywords:DEA  Anhui province  logistics  DEA model  factor analysis
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