西部论坛Issue(5):61-71,11.DOI:10.3969/j.issn.1674-8131.2013.05.008
我国物流业TF P增长率的测算及分解*
TFP Growth Measurement and Factor Decomposition of Logistics Industry in China
摘要
Abstract
By setting up stochastic production frontier model from panel data of logistic industry of China during 1997 to 2011,by the method proposed by Kumbhakar and Lovell (2000),this paper measures and decomposes the TFP growth rate of logistics industry in China.Analysis shows that the fundamental reason for TFP growth is technical progress while the factors of technical efficiency improvement,scale efficiency and allocation efficiency have reduction effect on technical progress factor,and that technical improvement and scale efficiency factor decrease year by year,however,allocation efficiency increases year by year.The further Gini decomposition of regional difference in China’s TFP growth rate of logistic industry shows that technical efficiency improvement and allocation efficiency serve as the main contributor to regional disparity of TFP growth,which indicate that there is big periodic difference between each province or municipality.The promotion of China’s long-term development level of logistic industry not only depends on technical progress factor from the introduction of advanced technology and method but also demands the improvement of technical efficiency,scale efficiency and allocation efficiency, however,the reduction of regional difference of logistic industry needs the improvement of technical efficiency and allocation efficiency in backward area.关键词
物流业/随机生产边界模型/全要素生产率增长分解/基尼分解/技术进步/技术效率/规模效率/配置效率Key words
logistics industry/stochastic production frontier model/TFP growth decomposition/Gini Decomposition/technical progress/technical efficiency/scale efficiency/allocation efficiency分类
管理科学引用本文复制引用
丁小平,刘金东..我国物流业TF P增长率的测算及分解*[J].西部论坛,2013,(5):61-71,11.基金项目
上海财经大学211项目“促进我国发展方式转变的服务业营改增效应研究”上海财经大学研究生自主创新基金资助项目 ()