基于DEA-Malmquist指数的长江三角洲地区公路交通运输效率评价与分析

发布时间：2018-04-16 01:14

本文选题：公路运输效率 + DEA-Malmquist　；参考：《中国科学院大学学报》2017年06期

【摘要】：公路运输效率是衡量公路运输发展水平的重要依据。应用数据包络分析(DEA)方法中的BCC模型,结合超效率模型,对长三角地区2014年16个城市公路交通运输有效性进行评价,从投入冗余和产出不足两方面分析非DEA有效单元存在的问题。运用DEAMalmquist指数方法,全面分析2007—2014年长三角地区公路运输全要素生产率的时空演变规律和区域差异,得到下列结果。1)长三角地区2014年公路运输综合效率整体水平较高;存在着一定的地区差异性,南北分异突出,南部地区明显高于北部地区;有效性主要受规模效率影响。2)2007—2014年公路运输的全要素生产率指数呈现了一定的波动,总体较为稳定;公路运输技术进步的波动是导致其变化的主要原因。从时空演化来看,长三角地区2007—2014年时间段内,Malmquist指数先升后降,区域差异先缩小后增大。北部地区区域差异高于南部地区。
[Abstract]:Highway transportation efficiency is an important basis to measure the development level of highway transportation.Using the BCC model in the data Envelopment Analysis (DEA) method and the super-efficiency model, the paper evaluates the efficiency of urban road transportation in the Yangtze River Delta region in 2014.The problems of non-DEA efficient units are analyzed in terms of input redundancy and insufficient output.By using DEAMalmquist index method, the temporal and spatial evolution rules and regional differences of total factor productivity of road transportation in the Yangtze River Delta region from 2007 to 2014 are analyzed, and the following results are obtained: (1) the overall efficiency of road transportation in the Yangtze River Delta region in 2014 is relatively high;There are some regional differences, the North-South differentiation is prominent, the southern region is obviously higher than the northern region, the effectiveness is mainly affected by the scale efficiency .2.The total factor productivity index of road transportation in 2007-2014 has a certain fluctuation, and the overall is relatively stable.The fluctuation of highway transportation technology is the main reason for its change.From the point of view of temporal and spatial evolution, the Malmquist index in the Yangtze River Delta region increased first and then decreased in the period of 2007-2014, and the regional difference decreased first and then increased.The regional difference in the north is higher than that in the south.
【作者单位】：中国科学院南京地理与湖泊研究所中国科学院流域地理学重点实验室;中国科学院大学;安徽师范大学国土资源与旅游学院;
【基金】：国家自然科学基金(41271137) 中国科学院南京地理与湖泊研究所“一三五”战略发展规划项目(NIGLAS2012135021)资助
【分类号】：F542.8

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