Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models
AbstractA 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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- 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.
- 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.
- Santiago Herrera & Gaobo Pang, 2008.
"Eficiency of Infrastructure: The Case of Container Ports,"
ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 9(1), pages 165-194.
- Santiago Herrera & Gaobo Pang, 2006. "Efficiency Of Infrastructure: The Case Of Container Ports," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 124, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
- 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.
- 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.
- 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.
- 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.
- 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.
- González, MarIÂ´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.
- 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.
- Ahmed Salem Al-Eraqi & Carlos Pestana Barros & Adli Mustaffa & Ahamad Tajudin Khader, 2007. "Evaluating the Location Efficiency of Arabian and African Seaports Using Data Envelopment Analysis (DEA)," Working Papers Department of Economics 2007/19, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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