摘要
笔者运用空间面板计量方法对中国物流产业集聚与全要素生产率增长之间的关系进行了分析,通过计算物流产业集聚和全要素生产率的Moran'I指数,确定了两者存在空间相关性,并刻画了2003年与2011年Moran'I指数散点图。在此基础上,通过建立SLM,SEM和SDM空间计量模型检验了物流产业集聚对全要素生产率增长的空间溢出效应。结果表明,物流产业集聚不仅能够促进全要素生产率增长,且能够通过空间外溢效应促进周边地区全要素生产率增长。物流产业集聚会通过专业化效应、外部性等途径降低交易成本,进而促进全要素生产率增长。鉴于此,政府应支持物流产业集聚,突破影响空间外溢效应区域边界的自然条件和制度约束,加大物流人力资本、物流交通基础设施等方面的积累和投入,促进物流产业对全要素生产率空间溢出效应的有效发挥。
This paper analyses the relationship between concentration of China＇s logistics industry and TFP growth using by Spatial Econometrics of Panel Data. It is proved that the existence of spatial correlation by calculating the Moran＇I index of concentration of China＇s logistics industry and TFP. The paper draws the Moran＇I scatter diagram of 2003 and 2011. On this basis, the authors test the space spillover effects from concentration of China＇s logistics in- dustry to regional economic through the establishment of SLM, SEM and SDM space measurement model. The empiri- cal results show that concentration of logistics industry can not only enhance the growth of region TFP, but also en- hance peripheral region＇s TFP by spatial spillover effect. Concentration of logistics industry could prove TFP through specialized effect and externality. Hence, government should support spatial concentration of logistics industry by breaking natural and institutional constraints that influence the regional boundaries of spatial spillover effect, increas- ing the accumulation and investment of logistics human capital, logistics transport infrastructure and so on.
出处
《中央财经大学学报》
CSSCI
北大核心
2014年第3期98-105,共8页
Journal of Central University of Finance & Economics
基金
国家自然科学基金项目"集成化物流的协同管理研究"(70562002)
江西省教育厅科技项目(GJJ12263)
江西省教育厅科技项目(GJJ12266)之研究成果
江西省社会科学规划项目(11GL01)
关键词
物流产业
集聚
全要素生产率
空间面板模型
空间外溢
Logistics Industry
Concentration
TFP
Spatial Panel Data Model
Spatial Spillover
