商业研究

• 商经理论 • 上一篇    下一篇

产业集聚能促进物流业效率提升吗? ——来自中国省域面板数据的实证分析

陶婷婷   

  1. 中国人民大学 商学院,北京 100872
  • 收稿日期:2016-09-29 出版日期:2017-01-10
  • 作者简介:陶婷婷(1989-),女,云南开远人,中国人民大学商学院博士研究生,研究方向:物流产业发展、产业集聚与产业效率。
  • 基金资助:
    国家社科基金重大项目“大国赶超经济与可持续发展背景下的内外需关系调整研究”,项目编号:11&ZD005;商务部重大研究项目“建设中国特色现代流通体系的战略与政策研究”资助。

Can Industrial Cluster Promote the Efficiency of Logistics Industry? ——An Empirical Analysis based on Chinese Provincial Panel Data

TAO Ting-ting   

  1. School of Business, Renmin University Of China, Beijing 100872,China
  • Received:2016-09-29 Online:2017-01-10

摘要: 基于产业集聚基础理论、外部性理论及产业效率理论,本文分别对物流业产业集聚和产业效率进行定量测度,分集聚类型实证分析专业化集聚及多样化集聚对物流业效率影响的传导路径。研究显示:我国目前物流业集聚的区域差异大,专业化集聚对产业效率的影响表现为正向的线性关系,多样化集聚则表现为先减后增的U型非线性关系;劳动力、资本等传统投入要素对提高物流业效率的作用已经不大,专业化集聚及多样化集聚对产业效率的影响也因地区差异而有所不同。因此,应从差异性推进物流业产业集聚、综合性利用物流业集聚优势、合理调整物流产业结构等方面战略性提升物流业产业效率

关键词: 专业化集聚, 多样化集聚, 物流产业效率, 数据包络分析, Tobit回归

Abstract: Based on industrial cluster theory, externality theory and industrial efficiency theory, this study measures the logistics industrial agglomeration and industrial efficiency quantitatively,and empirically analyzes conduction path of effect of specialization agglomeration and diversified agglomeration on efficiency of logistics industry. The research shows because of the big regional difference in logistics, the effect of specialization agglomeration on industrial efficiency shows the positive linear relationship, and the diversified agglomeration shows the u-shaped nonlinear relationship; traditional labor, capital and other inputs to logistics industry have little effect, and the effects on the efficiency of the two types of agglomerations are different due to the regional differences. Therefore, we should promote efficiency of logistics industry strategically by advancing the logistics industry agglomeration differently, taking advantage of the logistics industry agglomeration roundly and reasonably adjusting logistics industry structure.

Key words: specialization agglomeration, diversified agglomeration, efficiency of logistics industry, Data Envelopment Analysis, Tobit Regression