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西部地区物流效率及其影响因素——基于DEA模型和Tobit回归模型的实证分析 被引量:4

Study on Logistics Efficiency Evaluation and Influencing Factors in Western Provinces of China
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摘要 文章选取DEA模型对西部地区12个省、自治区、直辖市2015年的物流效率进行了评价和投影分析,并利用Tobit回归模型对2011~2015年影响西部12个地区的物流效率的影响因素进行了实证分析。结果表明除内蒙古、重庆、广西、贵州、宁夏外其余地区均为DEA无效,存在投入冗余、产出不足的现象。经济发展水平、外商投资进出口总额、区位商、物流资源利用率与物流效率呈正相关,其中经济发展水平、区位商、物流资源利用率影响显著。 This paper bulids up the DEA model to evaluate and project the logistics efficiency of twelve provinces, autonomous regions, and centrally-administered municipalities in the western region in 2015, and then uses the Tobit regression model to empirically analyze the factors affecting the logistics efficiency of twelve regions in western China between2011 and 2015. Research shows that all regions except Inner Mongolia, Chongqing, Guangxi, Guizhou, and Ningxia province are DEA-inefficient with the characteristics of redundant input and insufficient output. The logistics efficiency is positively correlated with the level of economic development, foreign investment in import and export, location quotient and utilization of logistics resources, among which economic development level, location quotient, and utilization rate of logistics resources have a significant impact.
作者 杨双鹏 赵近 YANG Shuangpeng;ZHAO Jin(School of Management and Economics, Kunming University of Science and Technology, Kunming 650000, Chin)
出处 《物流科技》 2018年第5期24-27,共4页 Logistics Sci-Tech
关键词 DEA模型 物流效率 TOBIT回归 影响因素 DEA model logistics efficiency Tobit regression influencing factors
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