物流技术
物流技術
물류기술
LOGISTICS TECHNOLOGY
2014年
8期
206-208
,共3页
区域物流%效率评价%DMU%DEA模型%雁行形态
區域物流%效率評價%DMU%DEA模型%雁行形態
구역물류%효솔평개%DMU%DEA모형%안행형태
regional logistics%efficiency evaluation%DMU%DEA model%echelon formation
基于“十一五”期间全国31个省、自治区、直辖市的物流经济发展相关数据，构建CCR、BCC、SE数据包络分析模型进行物流综合效率、技术效率和规模效率分析，通过多次效率评价构建区域经济物流效率有效性的雁行形态图，对相对有效DMU，采用超效率DEA模型进行效率全排序，对无效DMU，分析其投入要素冗余和调整量。
基于“十一五”期間全國31箇省、自治區、直轄市的物流經濟髮展相關數據，構建CCR、BCC、SE數據包絡分析模型進行物流綜閤效率、技術效率和規模效率分析，通過多次效率評價構建區域經濟物流效率有效性的雁行形態圖，對相對有效DMU，採用超效率DEA模型進行效率全排序，對無效DMU，分析其投入要素冗餘和調整量。
기우“십일오”기간전국31개성、자치구、직할시적물류경제발전상관수거，구건CCR、BCC、SE수거포락분석모형진행물류종합효솔、기술효솔화규모효솔분석，통과다차효솔평개구건구역경제물류효솔유효성적안행형태도，대상대유효DMU，채용초효솔DEA모형진행효솔전배서，대무효DMU，분석기투입요소용여화조정량。
In this paper, on the basis of the economy-related data of the 31 provinces, autonomous regions, and municipalities of China during the Eleventh-five period, we built the CCR, BCC and SE data envelopment analysis model to evaluate the comprehensive efficiency, technical efficiency and scale efficiency of the logistics industry of the regions, then through repeating the evaluation, built the echelon graph of the economic and logistics efficiency of the regions and at the end, ranked the ones with valid DMUs and analyzed the causes of the inefficiency of the rest.
