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我国零售业技术效率及影响因素的实证研究——基于2001—2012年30个省份限额以上零售业的数据    

Empirical Study on Technical Efficiency and Influencing Factors in China's Retail Industry Based on Data of Retail Industry above Designated Size in 30 Provinces during 2001—2012

文献类型:期刊文献

中文题名:我国零售业技术效率及影响因素的实证研究——基于2001—2012年30个省份限额以上零售业的数据

英文题名:Empirical Study on Technical Efficiency and Influencing Factors in China's Retail Industry Based on Data of Retail Industry above Designated Size in 30 Provinces during 2001—2012

作者:雷蕾[1,2]

第一作者:雷蕾

机构:[1]河南财经政法大学工商管理学院;[2]首都经济贸易大学经济学院

第一机构:河南财经政法大学工商管理学院

年份:2014

卷号:29

期号:6

起止页码:28-36

中文期刊名:北京工商大学学报:社会科学版

收录:CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2011】;CSSCI:【CSSCI2014_2016】;

基金:河南省软科学项目(142400410017);河南省政府决策研究课题(2014209);河南省社会科学规划项目(2014BJJ090)

语种:中文

中文关键词:零售业;技术效率;随机前沿分析(SFA)

外文关键词:retail industry ; technical efficiency ; stochastic frontier analysis (SFA)

摘要:利用随机前沿分析方法对2001—2012年我国30个省份的零售业技术效率及其影响因素进行了分析,结果表明,12年间,我国零售业技术效率的变化趋势总体是上升的,技术效率平均值为0.876 9。其中,东部地区技术效率值是0.905 7,中部和西部地区的技术效率分别为0.861 0和0.859 5。通过σ收敛和绝对β收敛分析发现,我国零售业技术效率存在一定的收敛性,表明零售业技术效率差距将逐渐缩小,且趋于同一水平。此外,影响零售业技术效率的因素主要有当地的物流发展程度、居民消费能力、外商投资情况和人力资本。
Using the method of stochastic frontier analysis, this paper analyzes the technical efficiency and the influencing factors in retail industry of China's 30 provinces during the period from 2001 to 2012. The results show that: during the 12 years, the overall trend of the technical efficiency of China's retail industry is rising, the average technical efficiency of China's retail industry is 0. 876 9, and the technical efficiency of eastern region is 0. 905 7, technical efficiency of central and western regions are 0. 861 0 and 0. 859 5 respectively. The technical efficiency of China's retail industry has a certain convergence through σ conver- gence and ,8 absolute convergence analyses, which shows that the level of technical efficiency of retail industry will be gradually reduced and tends to be on the same level. In addition, the factors which influence the technical efficiency of retail industry mainly include the development level of local logistics, consumer purchasing power, foreign investment and human capital.

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