[1. Bańos Pino, J.; Coto Millan, P and Rodriguez Alvarez, A (2000). Allocative efficiency and overcapitalization: na application. International Journal of Transport Economics, 2, 181-199.]Search in Google Scholar
[2. Barros C. P and M. Athanassious. (2004). Efficiency in EuropeanSeaports with DEA: Evidence from Greece and Portugal. Maritime Economics and Logistics, 6, 122-140.10.1057/palgrave.mel.9100099]Search in Google Scholar
[3. Barros, C. P. (2003a). Incentive Regulation and Efficiencyof Portuguese Port Authorities. Maritime Economics and Logistics, 5(1), 55-69.10.1057/palgrave.mel.9100060]Search in Google Scholar
[4. Barros, C. P. (2003b). The Measurement of Efficiency ofPortuguese Seaport Authorities with DEA. International Journal of Transport Economics, 30(3), 335-354.]Search in Google Scholar
[5. Barros, C. P. (2005). Decomposing Growth in PortugueseSeaports: A Frontier Cost Approach. Maritime Economics and Logistics, 7(4), 297- 315.10.1057/palgrave.mel.9100140]Search in Google Scholar
[6. Bonilla, M.; T. Casasus et al. (2004). An efficiency analysis withtolerance to the Spanish port system. International Journal of Transport Economics, 31(3), 379-400.]Search in Google Scholar
[7. Clark, X.; Dollar, D. and Micco, A. (2004). Port efficiency,maritime transport costs and bilateral trade. Journal of Development Economics, 75(2), 417-45010.1016/j.jdeveco.2004.06.005]Search in Google Scholar
[8. Chang, Y.T., Lee, S.Y. and Tongzon, J.L. (2008). Port selectionfactors by shipping lines: Different perspectives between trunkliners and feeder service providers, Marine Policy, 32, 877-88510.1016/j.marpol.2008.01.003]Search in Google Scholar
[9. Coto Millan, P.; Bańos Pino, J. and Rodriguez Alvarez, A (2000). Economic Efficiency in Spanish Ports: Some EmpiricalEvidence. Maritime Policy and Management, 27(2), 169-175.10.1080/030888300286581]Search in Google Scholar
[10. Cullinane, K.; P. Ji et al. (2005). The relationship betweenprivatization and DEA estimates of efficiency in the containerport industry. Journal of Economics and Business, 57, 433-462.10.1016/j.jeconbus.2005.02.007]Search in Google Scholar
[11. Cullinane, K.P.B., Song, D. W and Gray, R. (2002). A StochasticFrontier Model of the Efficiency of Major Container Terminalsin Asia: Assessing the influence of administrative and ownershipstructures. Transportation Research, 36A, 734-762.]Search in Google Scholar
[12. Cullinane, K.P.B. and Song, D. W. (2003). A Stochastic FrontierModel of the Productive Efficiency of Korean ContainerTerminals. Applied Economics, 35(3), 251-267.10.1080/00036840210139355]Search in Google Scholar
[13. Cullinane, K., Song, D.W, Wang, T. (2005). The applicationof Mathematical Programming Approaches to EstimatingContainer Port Production Efficiency. Journal of Productivity Analysis, 24, 73-92.10.1007/s11123-005-3041-9]Search in Google Scholar
[14. Cullinane, K., Wang, T. et al. (2006). The efficiency of Europeancontainer ports: a cross-sectional data envelopment analysis. International Journal of Logistics, Research and Application, 9(1), 19-31.10.1080/13675560500322417]Search in Google Scholar
[15. Cullinane, K., Wang, T.F., Song, D. W and Ji, P. (2006). Thetechnical efficiency of Container Ports: Comparing DataEnvelopment Analysis and Stochastic Frontier Analysis. Transportation Research , 40A, 354-374.]Search in Google Scholar
[16. Cullinane, K., and Wang, T.F. (2007). Data envelopmentanalysis and improving port container efficiency. Research in Transportation Economics, 17, 517-56610.1016/S0739-8859(06)17023-7]Search in Google Scholar
[17. De, P. and Ghosh, B. (2003). Productivity, efficiency andtechnological change in Indian ports, International Journal of Maritime Economics, 4, 348 - 368.10.1057/palgrave.ijme.9100051]Search in Google Scholar
[18. Estache, A., Gonzalez, M. and Trujillo, L. (2001). EfficiencyGains from Port Reforms and the Potential for yardstickCompetition: Lessons from Mexico. World Development, 30(4), 545-560.10.1016/S0305-750X(01)00129-2]Search in Google Scholar
[19. Fleming, D. K. and Baird, A.J. (1999). Some reflections on portcompetition in the United States and Western Europe. Maritime Policy and Management, 26(4), 383 - 39410.1080/030888399286817]Search in Google Scholar
[20. Fielding, G.J., Glauthier, R.E., Lave, C.A. (1978). Performanceindicators for transit management. Transportation 7 (4), 365-379.]Search in Google Scholar
[21. Fu, B. X.; X. Q. Song et al. (2007). Study on improved DEAbased MPI and its application in dynamic performanceevaluation. 14th International Conference on Management Science and Engineering, Harbin, Peoples R China.]Search in Google Scholar
[22. Fung, M.K., Cheng, L.K., and Qiu, L.D. (2003). The impactof terminal handling charges on overall shipping charges: anempirical study. Transportation Research 37A, 703-716]Search in Google Scholar
[23. Itoh, H. (2002). Efficiency changes at major container portsin Japan: A window application of data envelopment analysis. Review of Urban and Regional Development Studies, 14(2), 133-152.10.1111/1467-940X.00052]Search in Google Scholar
[24. Lee, H.S., Chou, M.T., and Guo, S.G. (2005). Evaluating portefficiency in Asia Pacific region with recursive data envelopmentanalysis. Journal of the Eastern Asia Society for Transportation Studies, 6, 544 - 559]Search in Google Scholar
[25. Liu, C. C. (2008). Evaluating the operational efficiency ofmajor ports in the Asia-Pacific region using data envelopmentanalysis. Applied Economics, 40(14), 1731-1743.]Search in Google Scholar
[26. Liu, Z. (1995). The Comparative Performance of Public andPrivate Enterprises. Journal of Transport Economics and Policy, 29(3), 263-274.]Search in Google Scholar
[27. Lirn, T.C., Thanopoulou, H.A., Beynon, M.J., and Beresford, A.K.C (2004) An Application of AHP on Transhipment PortSelection: A Global Perspective, Maritime Economics and Logistics, 6, 70-9110.1057/palgrave.mel.9100093]Search in Google Scholar
[28. Loo, B.P.Y. and Hook, B. (2002). Interplay of international,national and local factors in shaping container portdevelopment: a case study of Hong Kong, Transport Reviews, 22 (2), 219 - 245.10.1080/01441640110091486]Search in Google Scholar
[29. Low, J.M.W. (2010). Capacity investment and efficiency costestimations in major East Asian ports. Maritime Economics and Logistics 12, 370-391.10.1057/mel.2010.13]Search in Google Scholar
[30. Low, J.M.W and Tang, L.C (2011). Network effects in Asiancontainer port industry, Maritime Policy and Management, forthcoming]Search in Google Scholar
[31. Martinez Budria, E.; Diaz Armas, R.; Navarro Ibafiez, M and Ravelo Mesa, T. (1999). A Study of the Efficiency ofSpanish Port Authorities Using Data Envelopment Analysis. International Journal of Transport Economics, 2, 237-253.]Search in Google Scholar
[32. Murphy, P.R. and Daley, J.M. (1994). A comparative analysis ofport selection factors. Transportation Journal, 34, 15 - 21]Search in Google Scholar
[33. Nagorski, B. (1976). Port problems in developing countries:Principles of port planning and organization. In International Association of Ports and Harbors,]Search in Google Scholar
[34. Park, R. K. and De, Prabir (2004). An Alternative Approach toEfficiency Measurement of Seaports. Maritime Economics and Logistics, 6, 53-69.10.1057/palgrave.mel.9100094]Search in Google Scholar
[35. Robinson, R. (2002). Ports as elements in value-driven chainsystems - the new paradigm, Maritime Policy and Management, 29, 241 - 25510.1080/03088830210132623]Search in Google Scholar
[36. Roll, Y. and Hayuth, Y. (1993). Port Performance ComparisonApplying Data Envelopment Analysis (DEA). Maritime Policy and Management, 20(2), 153-161.10.1080/03088839300000025]Search in Google Scholar
[37. Herrera, S., and Pang, G. (2008). Efficiency of infrastructure:the case of container ports. Available at http://www.anpec.org.br/revista/vol9/vol9n1p165_194.pdf]Search in Google Scholar
[38. Sharma, M. J. and. Yu, S. J. (2009). Performance basedstratification and clustering for benchmarking of containerterminals. Expert Systems with Applications, 36(3), 5016-5022.10.1016/j.eswa.2008.06.010]Search in Google Scholar
[39. Song, D. W. and Cullinane, K. (2001). The Administrative andOwnership Structure of Asian Container Ports. International Journal of Maritime Economics, 3(2), 175-197.10.1057/palgrave.ijme.9100013]Search in Google Scholar
[40. Stopford, M. (2009). Maritime Economics, third edition, Abingdon: Routledge10.4324/9780203891742]Search in Google Scholar
[41. Talley, W. (2006). Economic theory of a port, in K. Cullinane and W. Talley (Ed.) Research in Transportation Economics, 16, 43- 6610.1016/S0739-8859(06)16003-5]Search in Google Scholar
[42. Tongzon, J and Heng, W. (2005). Port Privatization, Efficiencyand Competitiveness: Some Empirical Evidence from ContainerPorts (terminals). Transportation Research 39A, 405-424.]Search in Google Scholar
[43. Tongzon J. (2001). Efficiency Measurement of SelectedAustralian and Other international Ports using DEA. Transportation Research 35A, 113-128.]Search in Google Scholar
[44. Turner, H., R. Windle, et al. (2004). North American containerport productivity: 1984-1997. Transportation Research 40E, 339-356.10.1016/j.tre.2003.06.001]Search in Google Scholar
[45. Wang, T. and Cullinane, K. (2006a). The efficiency ofEuropean container terminal and implications for supply chainmanagement. Maritime Economics and Logistics, 8, 82-99.10.1057/palgrave.mel.9100151]Search in Google Scholar
[46. Wang, Y., Cullinane, K. (2006b). Inter-port competition andmeasures of individual container port accessibility, International Association of Maritime Economist Conference, Melbourne Australia, 12-14 July]Search in Google Scholar
[47. Zhu, J. (2009). Quantitative Models for PerformanceEvaluation and Benchmarking: Data Envelopment Analysis withSpreadsheets, Kluwer Academic Publishers, Boston.10.1007/978-0-387-85982-8_6]Search in Google Scholar