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Efficiency Of Infrastructure: The Case Of Container Ports

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  • Santiago Herrera
  • Gaobo Pang

Abstract

This paper gauges efficiency in container ports. Using non-parametric methods, we estimate efficiency frontiers based on information from 86 ports across the world. Three attractive features of the method are: 1) it is based on an aggregated measure of efficiency despite the existence of multiple inputs; 2) it does not assume particular input-output functional relationships; and 3) it does not rely on a-priori peer selection to construct the benchmark. Results show that the most ine_cient ports use inputs in excess of 20 to 40 percent. Since infrastructure costs represent about 40 percent of total maritime transport costs, these could be reduced by 12 percent by moving from the inefficient extreme of the distribution to the efficiency one.

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Bibliographic Info

Paper provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its series Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] with number 124.

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Date of creation: 2006
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Handle: RePEc:anp:en2006:124

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  1. Theo Notteboom & Chris Coeck & Julien Van Den Broeck, 2000. "Measuring and Explaining the Relative Efficiency of Container Terminals by Means of Bayesian Stochastic Frontier Models," Maritime Economics and Logistics, Palgrave Macmillan, vol. 2(2), pages 83-106, June.
  2. Paul W. Wilson & David C. Wheelock, 2004. "Robust Nonparametric Estimation of Efficiency and Technical Change in U.S. Commercial Banking," Econometric Society 2004 North American Summer Meetings 433, Econometric Society.
  3. Beatrice Tovar & Sergio Jara-Diaz & Lourdes Trujillo, 2003. "Production and cost functions and their application to the port sector : a literature survey," Policy Research Working Paper Series 3123, The World Bank.
  4. Ro-Kyung Park & Prabir De, 2004. "An Alternative Approach to Efficiency Measurement of Seaports," Maritime Economics and Logistics, Palgrave Macmillan, vol. 6(1), pages 53-69, March.
  5. Productivity Commission, 2003. "International benchmarking of container stevedoring," General Economics and Teaching 0307006, EconWPA.
  6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  7. Cullinane Kevin & Song Dong-Wook & Ji Ping & Wang Teng-Fei, 2004. "An Application of DEA Windows Analysis to Container Port Production Efficiency," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-23, June.
  8. Luis R. Murillo-Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, 02.
  9. Gonzalez, Maria Manuela & Trujillo, Lourdes, 2005. "Reforms and infrastructure efficiency in Spain's container ports," Policy Research Working Paper Series 3515, The World Bank.
  10. Dollar, David & Micco, Alejandro & Clark, Ximena, 2002. "Maritime transport costs and port efficiency," Policy Research Working Paper Series 2781, The World Bank.
  11. 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.
  12. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
  13. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
  14. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
  15. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
  16. Limao, Nuno & Venables, Anthony J., 1999. "Infrastructure, geographical disadvantage, and transport costs," Policy Research Working Paper Series 2257, The World Bank.
  17. Fare, Rolf & Grosskopf, Shawna, 1995. "Nonparametric tests of regularity, Farrell efficiency, and goodness-of-fit," Journal of Econometrics, Elsevier, vol. 69(2), pages 415-425, October.
  18. Golany, Boaz & Thore, Sten, 1997. "The Economic and Social Performance of Nations: Efficiency and Returns to Scale," Socio-Economic Planning Sciences, Elsevier, vol. 31(3), pages 191-204, September.
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Cited by:
  1. 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.

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