Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China

被引:49
作者
Li, Tao [1 ]
Yang, Wenyue [3 ]
Zhang, Haoran [4 ]
Cao, Xiaoshu [2 ,3 ]
机构
[1] Guangdong Univ Finance & Econ, Sch Geog & Tourism, Guangzhou, Guangdong, Peoples R China
[2] Shaanxi Normal Univ, Inst Transport Geog & Spatial Planning, Xian, Peoples R China
[3] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Guangdong, Peoples R China
[4] Guangdong Univ Finance & Econ, Sch Econ & Trade, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Transport investment; Total factor transport efficiency; Super-SBM DEA; Influence factor; China; DATA ENVELOPMENT ANALYSIS; SLACKS-BASED MEASURE; TRANSIT; PRODUCTIVITY; OWNERSHIP; RAILWAYS;
D O I
10.1016/j.tranpol.2015.09.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
The development of transport infrastructure is characterized by intensive capital input, intensive energy consumption, and pollution emissions. Against the background of the continuous intensification of resource and energy constraints in China. Therefore, the analysis of China's regional transport efficiency and its determinants has practical significance. This paper attempts to evaluate regional total factor transport efficiency in China based on the Super-SBM DEA model considering undesirable output and explores the influence factors of transport efficiency in China during the period 1995-2012. The empirical results indicate that during the research period, most provinces in China are not performing efficiently in transport systems. Additionally, the overall average level of China's total factor transport efficiency is low and the spatial pattern of the total factor transport efficiency demonstrates a declining trend from eastern to western China, which coincides with the spatial pattern of economic development in China. The analysis of the influence factors by the regression model shows that economic development and government influence can decrease overall transport efficiency, while industrial structure, population density, and geographical position can influence transport efficiency. The influence of these factors varies by region. Finally, this paper provides policy recommendations to improve transport efficiency in China. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:66 / 76
页数:11
相关论文
共 45 条
[1]  
[Anonymous], 2010, CO2 EM FUEL COMB HIG
[2]  
[Anonymous], 2003, J Nat Grad
[3]   Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers [J].
Barnum, Darold T. ;
Karlaftis, Matthew G. ;
Tandon, Sonali .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2011, 47 (06) :1160-1176
[4]   Productivity, efficiency and technical change in the European railways: A non-parametric approach [J].
Cantos, P ;
Pastor, JM ;
Serrano, L .
TRANSPORTATION, 1999, 26 (04) :337-357
[5]   City-level determinants of private car ownership in China [J].
Cao, Xiaoshu ;
Huang, Xiaoyan .
ASIAN GEOGRAPHER, 2013, 30 (01) :37-53
[6]   Environmental efficiency analysis of transportation system in China: A non-radial DEA approach [J].
Chang, Young-Tae ;
Zhang, Ning ;
Danao, Denise ;
Zhang, Nan .
ENERGY POLICY, 2013, 58 :277-283
[7]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[8]   A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis [J].
Cheng, Gang ;
Zervopoulos, Panagiotis ;
Qian, Zhenhua .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2013, 225 (01) :100-105
[9]   A study of energy efficiency of transport sector in China from 2003 to 2009 [J].
Chung, William ;
Zhou, Guanghui ;
Yeung, Iris M. H. .
APPLIED ENERGY, 2013, 112 :1066-1077
[10]   A comparison of parametric and non-parametric distance functions: With application to European railways [J].
Coelli, T ;
Perelman, S .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1999, 117 (02) :326-339