交通基础设施影响下的物流业与区域经济的关联研究

发布时间：2018-03-15 21:50

  本文选题：交通基础设施　切入点：物流业　出处：《技术经济与管理研究》2015年01期 　论文类型：期刊论文

【摘要】：鉴于通过物流业发展来解释我国区域经济发展这一主题存在的一些不足,文章在综述相关研究的基础上提出了二者之间存在非线性关系的观点。利用门槛回归模型,分别以铁路和高速公路路网密度作为交通基础设施门槛变量,证实了其在物流业提升区域经济发展水平这一运行机制上存在着非线性的调节作用。研究结果表明:2004-2013年间,铁路基础设施作为门槛,二者作用机制表现出了"由强转弱"的相关关系;高速公路基础设施作为门槛,二者作用机制表现出了显著的"倒U"型相关关系;在发展低水平阶段,铁路作为物流业的主要运输方式,对区域经济影响作用强大,随后作用逐渐减弱;公路在中等水平阶段明显高于低水平阶段;在其高水平发展阶段,促进作用略低于中等水平阶段。由于交通基础设施门槛效应的存在,文章建议应系统、动态地看待我国交通基础设施作用和因地制宜地制定物流业发展政策,推动区域经济的有效发展。
[Abstract]:In view of some shortcomings in explaining the theme of regional economic development in China through the development of logistics industry, this paper puts forward the viewpoint that there is a nonlinear relationship between the two on the basis of a review of relevant studies, using the threshold regression model. Taking the density of railway and highway network as the threshold variable of traffic infrastructure, respectively, it is proved that the network density of railway and highway has a nonlinear regulating effect on the operation mechanism of logistics industry to improve the level of regional economic development. The research results show that: from 2004 to 2013, As the threshold of railway infrastructure, the action mechanism of the two shows the correlation relation of "from strong to weak", the highway infrastructure as the threshold, and the mechanism of action shows a significant "inverted U" correlation, and at the stage of low level of development, As the main transportation mode of the logistics industry, railway has a strong influence on the regional economy and then weakens gradually; the highway is obviously higher than the low level at the middle level; at its high level development stage, Due to the existence of the threshold effect of traffic infrastructure, this paper suggests that we should systematically and dynamically view the role of transport infrastructure in China and formulate logistics development policies in accordance with local conditions. Promote the effective development of regional economy.
【作者单位】： 长安大学经济与管理学院;
【基金】：国家社会科学基金资助项目(13BJY080) 长安大学中央高校基本科研业务费资助项目(2014G6235035)
【分类号】：F259.27;F127
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本文编号：1616960