Comparison of urban public transport systems in the Czech Republic and Slovakia: Factors underpinning efficiency

被引:21
作者
Fitzova, Hana [1 ]
Matulova, Marketa [1 ]
机构
[1] Masaryk Univ, Fac Econ & Adm, Lipova 41a, Brno, Czech Republic
关键词
Bootstrap; Czech Republic; DEA; Efficiency; SFA; Slovakia; Tobit regression; Urban public transport; DETERMINANTS; INFERENCE; MODELS;
D O I
10.1016/j.retrec.2020.100824
中图分类号
F [经济];
学科分类号
02 ;
摘要
Increasing traffic congestion and growing interest in environmental issues make public transport the preferred mode in cities. National and local authorities should set operating conditions that enable efficient use of public financial resources. This paper aims at identifying conditions important for efficient urban public transport. We compared urban public transport systems in two countries with similar starting situations due to their unified transport policy until 1993. First, we conducted a two-stage efficiency analysis based on separate calculations of production frontiers using data envelopment analysis and subsequent tobit regression to identify the impact of contextual variables. For more robust results, we also used stochastic frontier analysis and a bias-corrected bootstrap method to calculate efficiency and its factors in a single step. Higher fares, subsidies, and network density tended towards lower efficiency. In contrast, higher average investment, the existence of a tram system, and the proportion of drivers within total employment increased efficiency. We expected a positive impact from existing integration systems but did not find a significant impact on efficiency. The results are quite robust for all methods applied. Non-parametric tests further revealed that the countries differed in all characteristics except for network density and the proportion of subsidies within costs.
引用
收藏
页数:9
相关论文
共 38 条
[1]  
Association of Public Transport Companies of the Czech Republic, ANN REP 2010 2017
[2]   Evaluating contextual variables affecting productivity using data envelopment analysis [J].
Banker, Rajiv D. ;
Natarajan, Ram .
OPERATIONS RESEARCH, 2008, 56 (01) :48-58
[3]  
Battese G., 1995, J. Econom., V20, P325, DOI DOI 10.1007/BF01205442
[4]  
Bogetoft P, 2011, INT SER OPER RES MAN, V157, P1, DOI 10.1007/978-1-4419-7961-2
[5]  
Coelli T., 2013, Frontier: Stochastic Frontier Analysis
[6]  
Coelli T.J., 1997, INTRO EFFICIENCY PRO, DOI 10.1007/978-1-4615-5493-6
[7]  
Cooper W.W., 2000, Data envelopment analysis: A comprehensive text with models, applications, references and DEA-Solver software
[8]  
Croissant Y, 2008, J STAT SOFTW, V27, P1
[9]   Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research [J].
Daraio, Cinzia ;
Diana, Marco ;
Di Costa, Flavia ;
Leporelli, Claudio ;
Matteucci, Giorgio ;
Nastasi, Alberto .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 248 (01) :1-20
[10]   Public transit performance: what does one learn from frontier studies? [J].
De Borger, B ;
Kerstens, K ;
Costa, A .
TRANSPORT REVIEWS, 2002, 22 (01) :1-38