区域物流效率评价及其空间效应研究

发布时间：2018-10-26 15:11

【摘要】：基于城市物流的投入产出指标,借助Malmquist非参数指数模型和ESDA探索性数据分析,从时空分布上对2006—2013年江苏省13个地级市的物流业全要素生产率进行实证分析。研究结果表明:在时间分布上,考察期内江苏省城市物流全要素生产率实现了平均6.2%的负向增长率,技术进步-7%的负向"增长效应"是其下降的源头,纯技术效率和规模效率分别提升0.1%和0.8%,共同促进效率改善的"追赶效应"达到0.9%的正向增长力。在空间分布上,苏南、苏北和苏中等三大区域的全要素生产率差异显著,呈中部"塌陷"南北梯度下降趋势;区域物流全要素生产率在空间地理分布上有严重的路径依赖性,具有明显的集聚性和低流动性的特征,各个市域若要脱离原来的集群存在一定的困难。据此提出撬动城市物流业可持续发展的可行性措施。
[Abstract]:Based on the input-output index of urban logistics, with the help of Malmquist non-parametric index model and ESDA exploratory data analysis, this paper empirically analyzes the total factor productivity of logistics industry in 13 prefectural cities of Jiangsu Province from 2006 to 2013 in terms of temporal and spatial distribution. The results show that the total factor productivity of urban logistics in Jiangsu Province has achieved an average negative growth rate of 6.2% in terms of time distribution, and the negative "growth effect" of technological progress of -7% is the source of its decline. The pure technical efficiency and scale efficiency were increased by 0.1% and 0.8% respectively, and the "catch-up effect" of efficiency improvement was 0.9%. In spatial distribution, the total factor productivity (TFP) of the south, north and middle of Jiangsu is significantly different, showing a downward trend of "collapsing" north-south gradient in the middle of the region. The total factor productivity of regional logistics has a serious path dependence on the geographical distribution of regional logistics, and it has obvious characteristics of agglomeration and low mobility, so it is difficult for each city to break away from the original cluster. Based on this, the feasible measures for the sustainable development of urban logistics industry are put forward.
【作者单位】：江南大学商学院;
【基金】：国家自然科学基金“小样本非等距灰色预测模型建模及其应用研究”(71301061) 教育部人文社科基金“区域性碳交易平台的系统研究”(11YJAZH084) 中央高校专项(2015JDZD11) 江苏省研究生培养创新工程项目(SJLX_0538)
【分类号】：F259.27

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