Open Access

Evaluations of port performances from a seaborne cargo supply chain perspective

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.9100099Search 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.9100060Search 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.9100140Search 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.2004.06.005Search 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.2008.01.003Search 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), 169-175.10.1080/030888300286581Search 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.2005.02.007Search 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), 251-267.10.1080/00036840210139355Search 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/s11123-005-3041-9Search 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), 19-31.10.1080/13675560500322417Search 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)17023-7Search 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.9100051Search 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)00129-2Search 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 - 39410.1080/030888399286817Search 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, 703-716Search 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.00052Search 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 - 559Search 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.9100093Search 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 - 245.10.1080/01441640110091486Search 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.2010.13Search in Google Scholar

30. Low, J.M.W and Tang, L.C (2011). Network effects in Asiancontainer port industry, Maritime Policy and Management, forthcomingSearch 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 - 21Search 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.9100094Search in Google Scholar

35. Robinson, R. (2002). Ports as elements in value-driven chainsystems - the new paradigm, Maritime Policy and Management, 29, 241 - 25510.1080/03088830210132623Search in Google Scholar

36. Roll, Y. and Hayuth, Y. (1993). Port Performance ComparisonApplying Data Envelopment Analysis (DEA). Maritime Policy and Management, 20(2), 153-161.10.1080/03088839300000025Search 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.pdfSearch 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.2008.06.010Search 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.9100013Search in Google Scholar

40. Stopford, M. (2009). Maritime Economics, third edition, Abingdon: Routledge10.4324/9780203891742Search 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)16003-5Search 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.2003.06.001Search 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.9100151Search 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 JulySearch 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_6Search in Google Scholar

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