科研管理 ›› 2013, Vol. 34 ›› Issue (12): 120-126.

• 论文 • 上一篇    下一篇

中国物流业发展对工业效率的影响及其渠道研究

梁红艳, 王健   

  1. 福州大学八方物流学院, 福建 福州 350108
  • 收稿日期:2011-11-14 修回日期:2012-10-24 出版日期:2013-12-17 发布日期:2013-12-17
  • 基金资助:
    国家社会科学基金项目“我国物流业对制造业外溢效应的检验分析研究(2012.6-2014.6)”(12BJY069)。

The effect of logistics on the industry’s efficiency and its channels in China

Liang Hongyan, Wang Jian   

  1. School of All-Trans Logistics, Fuzhou University, Fuzhou 350108, Fujian, China
  • Received:2011-11-14 Revised:2012-10-24 Online:2013-12-17 Published:2013-12-17

摘要: 本文引入地理距离、制度环境、工业企业规模、信息化水平四个因素,从理论层面分析了它们对物流业提升工业效率这一运行机制的影响,并以2005-2009年中国190个城市面板数据为样本,利用随机前沿函数模型,对理论推演假说进行了检验。研究结果表明,(1)在中国整体层面上,物流业通过发挥专业化及规模经济效应能促进工业效率提升,在区域层面上,各区域物流业发展水平不高制约了工业企业效率的提升;(2)物流业与工业企业之间的地理距离与物流业对工业效率的提升作用负相关,提高物流业集聚度有助于增强其对工业效率的提升作用;(3)完善制度环境、增强工业企业规模效应以及提高信息化水平有助于增强物流业对工业效率的提升作用。

关键词: 物流业, 工业效率, 渠道, 随机前沿函数模型

Abstract: This paper analyzes theoretically the moderating effects of geographic distance, policy environment, firms' scale and informationization level on the operational mechanism by which the logistics will improve the industrial efficiency. Then, we test the theoretical deduction hypotheses using the panel data for 190 Mainland China cities from 2005 to 2009 and by means of the SFA model. The results show that, firstly, on the entire country level, the logistics industry has, through specialization and scale economy, helped promote the industry's efficiency, while, on the regional level, the low development level of the regional logistics acts as a deterrent to the improvement of its efficiency; secondly, the geographic distance between the logistics industry and the industrial enterprises is negatively related to the promoting effect of the logistics on the industrial efficiency, and improving the logistics' agglomeration can strengthen its promoting effect on the industrial efficiency; and thirdly, improving the policy environment, strengthening the firms' scale and enhancing the informationization level could improve the promoting effect of logistics on the industrial efficiency.

Key words: logistics, industrial efficiency, channel, stochastic frontier function model

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