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Productivity and efficiency in urban railways: Parametric and non-parametric estimates

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  • Graham, Daniel J.

Abstract

This paper formulates and compares parametric productivity estimates and non-parametric efficiency scores for urban rail firms. It outlines a decomposition of total factor productivity (TFP) change and proposed some hypotheses about how this relates to an analysis of efficiency using data envelopment analysis (DEA). TFP is empirically evaluated using estimates from a translog production function. The estimation also tests some hypotheses about the elements that comprise firm specific 'technology'. The results show that while estimates of returns to scale differ using the TFP and DEA methods, the ranking of urban rail efficiency is broadly similar.

Suggested Citation

  • Graham, Daniel J., 2008. "Productivity and efficiency in urban railways: Parametric and non-parametric estimates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 84-99, January.
    • Handle: RePEc:eee:transe:v:44:y:2008:i:1:p:84-99
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    Cited by:

    1. Brida, Juan Gabriel & Deidda, Manuela & Pulina, Manuela, 2014. "Tourism and transport systems in mountain environments: analysis of the economic efficiency of cableways in South Tyrol," Journal of Transport Geography, Elsevier, vol. 36(C), pages 1-11.
    2. Marchetti, Dalmo & Wanke, Peter F., 2019. "Efficiency in rail transport: Evaluation of the main drivers through meta-analysis with resampling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 83-100.
    3. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.
    4. Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.
    5. Babalık-Sutcliffe, Ela, 2016. "Urban rail operators in Turkey: Organisational reform in transit service provision and the impact on planning, operation and system performance," Journal of Transport Geography, Elsevier, vol. 54(C), pages 464-475.
    6. Kadziński, Miłosz & Labijak, Anna & Napieraj, Małgorzata, 2017. "Integrated framework for robustness analysis using ratio-based efficiency model with application to evaluation of Polish airports," Omega, Elsevier, vol. 67(C), pages 1-18.
    7. ChuangLin Fang & XingLiang Guan & ShaSha Lu & Min Zhou & Yu Deng, 2013. "Input–Output Efficiency of Urban Agglomerations in China: An Application of Data Envelopment Analysis (DEA)," Urban Studies, Urban Studies Journal Limited, vol. 50(13), pages 2766-2790, October.
    8. Huang, Wencheng & Shuai, Bin & Sun, Yan & Wang, Yang & Antwi, Eric, 2018. "Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 292-303.
    9. Miura, Taiki & Tamaki, Tetsuya & Kii, Masanobu & Kajitani, Yoshio, 2021. "Efficiency by sectors in areas considering CO2 emissions: The case of Japan," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 514-528.
    10. Laurent Cavaignac & Romain Petiot, 2016. "A Quarter Century of Data Envelopment Analysis Applied to the Transport Sector: A Bibliometric Analysis," Post-Print hal-02395215, HAL.
    11. Qin, Feifei & Zhang, Xiaoning & Zhou, Qiang, 2014. "Evaluating the impact of organizational patterns on the efficiency of urban rail transit systems in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 89-99.
    12. Wey, Wann-Ming & Kang, Chao-Chung & Khan, Haider A., 2020. "Evaluating the effects of environmental factors and a transfer fare discount policy on the performance of an urban metro system," Transport Policy, Elsevier, vol. 97(C), pages 172-185.
    13. Ze Xu & Jianjun Zhang & Chu Li & Zhenyu Li & Yongheng Rao & Tianyu Lu, 2017. "A Road to Sustainable Development of Chinese Cities: A Perception of Improving Urban Management Efficiency Based on Two-Level Production Factors," Sustainability, MDPI, vol. 9(12), pages 1-16, November.
    14. Wu, Wei-Ming & Lin, Jenn-Rong, 2015. "Productivity growth, scale economies, ship size economies and technical progress for the container shipping industry in Taiwan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 1-16.
    15. Anupriya, & Graham, Daniel J. & Carbo, Jose M. & Anderson, Richard J. & Bansal, Prateek, 2020. "Understanding the costs of urban rail transport operations," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 292-316.
    16. Tamaki, Tetsuya & Nakamura, Hiroki & Fujii, Hidemichi & Managi, Shunsuke, 2019. "Efficiency and emissions from urban transport: Application to world city-level public transportation," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 55-63.
    17. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
    18. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
    19. Aziz Kutlar & Ali Kabasakal & Murat Sarikaya, 2013. "Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3575-3602, October.
    20. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
    21. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    22. Magnus Söderberg, 2009. "A Broad Performance Benchmark Based On Citizens’ Preferences: The Case Of Swedish Public Transportation," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 80(4), pages 579-603, December.
    23. Thiago Victorino & Carlos Rosano Peña, 2023. "The Development of Efficiency Analysis in Transportation Systems: A Bibliometric and Systematic Review," Sustainability, MDPI, vol. 15(13), pages 1-32, June.

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