我国物流业TFP增长率的测算及分解
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TFP Growth Measurement and Factor Decomposition of Logistics Industry in China
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    摘要:

    采用1997—2011年我国31个省区物流业面板数据建立随机生产边界模型,利用Kumbhakar等(2000)的方法对我国物流业TFP增长率进行测算和分解,分析表明:技术进步因素是我国物流业TFP增长的主要原因,技术效率改进、规模效率和配置效率因素均存在对技术进步因素的抵减效应;技术效率改进和规模效率因素的作用逐年递减,而配置效率因素的作用逐年上升。进一步对我国物流业TFP增长率的区域差异进行基尼分解,结果表明技术效率和配置效率是造成区域间物流业TFP增长率差异的主要原因,反映出各省区物流业发展存在较强的阶段差异。提升我国物流业长期发展水平,不仅依赖于先进技术和方法引进带来的技术进步因素,还必须注重提高技术效率、规模效率以及配置效率;减少物流业发展的区域差异,则需要提升落后地区的技术效率和配置效率。

    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.

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丁小平,刘金东.我国物流业TFP增长率的测算及分解[J].西部论坛,2013,23(5):61-71

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