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

FITZOVÁ, Hana and Markéta MATULOVÁ. Comparison of urban public transport systems in the Czech Republic and Slovakia: Factors underpinning efficiency. Research in Transportation Economics. UK: Elsevier, 2020, vol. 81, SI, p. 1-9. ISSN 0739-8859. Available from: https://dx.doi.org/10.1016/j.retrec.2020.100824.

Basic information

• Original name: Comparison of urban public transport systems in the Czech Republic and Slovakia: Factors underpinning efficiency
• Authors: FITZOVÁ, Hana (203 Czech Republic, guarantor, belonging to the institution) and Markéta MATULOVÁ (203 Czech Republic, belonging to the institution).
• Edition: Research in Transportation Economics, UK, Elsevier, 2020, 0739-8859.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 50202 Applied Economics, Econometrics
• Country of publisher: United Kingdom of Great Britain and Northern Ireland
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 2.627
• RIV identification code: RIV/00216224:14560/20:00115354
• Organization unit: Faculty of Economics and Administration
• Doi: http://dx.doi.org/10.1016/j.retrec.2020.100824
• UT WoS: 000542246100002
• Keywords in English: Bootstrap; Czech Republic; DEA; Efficiency; SFA; Slovakia; Tobit regression; Urban public transport
• Tags: International impact, Reviewed

Abstract

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.

Links

• CZ.02.1.01/0.0/0.0/16_026/0008430, interní kód MU(CEP code: EF16_026/0008430): Name: Nová mobilita - vysokorychlostní dopravní systémy a dopravní chování populace (Acronym: NOVÁ MOBILITA)

Investor: Ministry of Education, Youth and Sports of the CR, Priority axis 1: Strengthening capacities for high-quality research

• EF16_026/0008430, research and development project: Name: Nová mobilita - vysokorychlostní dopravní systémy a dopravní chování populace