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Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models

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  • Theo Notteboom

    (*Department of Transport Economics, University of Antwerp (RUCA))

  • Chris Coeck

    (*Department of Transport Economics, University of Antwerp (RUCA))

  • Julien Van Den Broeck

    (**Department of Economics, University of Antwerp (RUCA))

Abstract

A terminal is efficient if it produces a maximum output (container traffic in TEU) for given inputs (terminal superstructure). Traditional studies on container terminal efficiency tend to focus on partial productivity measures such as TEU per crane. These instruments do not assess the overall efficiency of terminal operations, as they only look at specific aspects of the terminal operation process. This paper presents an approach for the measurement of container terminal efficiency based on Bayesian Stochastic Frontier modelling. A Bayesian Stochastic Frontier Model is a stochastic and parametric method for analysing productive efficiency. The stochastic production function takes into account statistical noise (composed error) and models the level of inefficiency via a non-negative disturbance. As such, the level of (in)efficiency of different terminals can be compared. The model is tested using a sample of 36 European container terminals, supplemented with four Asian container ports. In general, north European container terminals attain a slightly higher degree of efficiency than southern terminals. Terminals located in hub ports on average are considered as more efficient than those in feeder ports.International Journal of Maritime Economics (2000) 2, 83–106; doi:10.1057/ijme.2000.9

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Bibliographic Info

Article provided by Palgrave Macmillan in its journal International Journal of Maritime Economics.

Volume (Year): 2 (2000)
Issue (Month): 2 (June)
Pages: 83-106

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Handle: RePEc:pal:marecl:v:2:y:2000:i:2:p:83-106

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Cited by:
  1. Sarriera, Javier Morales & Araya, Gonzalo & Serebrisky, Tomas & Briceno-Garmendia, Cecilia & Schwartz, Jordan, 2013. "Benchmarking container port technical efficiency in Latin America and the Caribbean : a stochastic frontier analysis," Policy Research Working Paper Series 6680, The World Bank.
  2. González, MarI´a Manuela & Trujillo, Lourdes, 2008. "Reforms and infrastructure efficiency in Spain's container ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 243-257, January.
  3. Angela Stefania Bergantino & Enrico Musso, 2011. "The role of external factors versus managerial ability in determining seaports’ relative efficiency: An input-by-input analysis through a multi-step approach on a panel of Southern European ports," Maritime Economics and Logistics, Palgrave Macmillan, vol. 13(2), pages 121-141, June.
  4. Santiago Herrera & Gaobo Pang, 2008. "Eficiency of Infrastructure: The Case of Container Ports," Economia, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 9(1), pages 165-194.
  5. Yip, Tsz Leung & Sun, Xin Yu & Liu, John J., 2011. "Group and individual heterogeneity in a stochastic frontier model: Container terminal operators," European Journal of Operational Research, Elsevier, vol. 213(3), pages 517-525, September.
  6. Kevin Cullinane & Dong-Wook Song, 2003. "A stochastic frontier model of the productive efficiency of Korean container terminals," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 251-267.
  7. Bichou, Khalid, 2013. "An empirical study of the impacts of operating and market conditions on container-port efficiency and benchmarking," Research in Transportation Economics, Elsevier, vol. 42(1), pages 28-37.
  8. Tongzon, Jose & Heng, Wu, 2005. "Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 405-424, June.
  9. Cheon, SangHyun, 2007. "World Port Institutions and Productivity: Roles of Ownership, Corporate Structure, and Inter-port Competition," University of California Transportation Center, Working Papers qt7t64h5wr, University of California Transportation Center.
  10. Kaselimi, Evangelia N. & Notteboom, Theo E. & Pallis, Athanasios A. & Farrell, Sheila, 2011. "Minimum Efficient Scale (MES) and preferred scale of container terminals," Research in Transportation Economics, Elsevier, vol. 32(1), pages 71-80.
  11. Francesca Medda & Qianwen Liu, 2013. "Determinants and strategies for the development of container terminals," Journal of Productivity Analysis, Springer, vol. 40(1), pages 83-98, August.
  12. Cullinane, Kevin & Song, Dong-Wook & Gray, Richard, 2002. "A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(8), pages 743-762, October.
  13. repec:ise:isegwp:wp192007 is not listed on IDEAS
  14. Rodriguez-Alvarez, Ana & Tovar, Beatriz & Trujillo, Lourdes, 2007. "Firm and time varying technical and allocative efficiency: An application to port cargo handling firms," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 149-161, September.
  15. Caldeirinha, Vitor R. & Felicio, J. Augusto, 2011. "A influência dos factores de caracterização dos portos no desempenho, medido por indicadores operacionais, financeiros e de eficiência
    [The influence of factors characterizing the performance o
    ," MPRA Paper 30009, University Library of Munich, Germany.
  16. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
  17. Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
  18. Trujillo, Lourdes & González, María Manuela & Jiménez, Juan Luis, 2013. "An overview on the reform process of African ports," Utilities Policy, Elsevier, vol. 25(C), pages 12-22.
  19. Odeck, James & Bråthen, Svein, 2012. "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
  20. Trujillo, L. & Tovar, B., 2007. "The European port industry: an analysis of its economic efficiency," Working Papers 07/05, Department of Economics, City University London.
  21. Gonzalez, M. & Trujillo, L., 2007. "Efficiency measurement in the port industry: a survey of the empirical evidence," Working Papers 07/08, Department of Economics, City University London.
  22. Elvira Haezendonck & Julien van den Broeck & Tim Jans, 2011. "Analysing the lobby-effect of port competitiveness’ determinants: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 36(2), pages 113-123, October.

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