Governance and performance evaluation of the Portuguese seaports in the European context

International Journal of Services, Economics and Management

Volumn 1, Issue 4, 2009, Pages 340-357

  Cunha Marques, Rui ^a   Luz Carvalho, Manuel ^a  

^a UNIVERSITY OF LISBON   (Portugal)

Author keywords

bootstrap; data envelopment analysis; DEA; governance; performance evaluation; Portugal; seaports

Indexed keywords

EID: 77951458998     PISSN: 17530822     EISSN: 17530830     Source Type: Journal    
DOI: 10.1504/IJSEM.2009.02484     Document Type: Article

References (31)

1. Afonso, O. and Aguiar, A. (2004) ‘Comércio externo e crescimento da economia portuguesa no século XX’, Working paper 146, University of Oporto, Oporto.
2. Anderson, P. and Petersen, N. (1993) ‘A procedure for ranking efficient units in data envelopment analysis’, Management Science, Vol. 39, No. 10, pp.1261–1264.
3. Banker, R., Charnes, A. and Cooper, W. (1984) ‘Some models for estimating technical and scale inefficiencies in data envelopment analysis’, Management Science, Vol. 30, No. 9, pp.1078–1092.
4. Barros, C. (2003a) ‘Incentive regulation and efficiency of Portuguese port authorities’, Maritime Economics & Logistics, Vol. 5, No. 1, pp.55–69.
5. Barros, C. (2003b) ‘The measurement of efficiency of Portuguese seaport authorities with DEA’, International Journal of Transport Economics, Vol. 30, No. 3, pp.335–354.
6. Barros, C. (2006) ‘A benchmark analysis of Italian seaports using data envelopment analysis’, Maritime Economics & Logistics, Vol. 8, No. 4, pp.347–365.
7. Barros, C. and Athanassiou, M. (2004) ‘Efficiency in European seaports with DEA: evidence from Greece and Portugal’, Maritime Economics & Logistics, Vol. 6, No. 2, pp.122–140.
8. Carvalho, M. (2007) ‘Performance evaluation of the Portuguese seaports: evaluation in the European context’, M.Sc. dissertation, Technical University of Lisbon, Lisbon.
9. Carvalho, M. and Marques, R. (2007) ‘Economic regulation in the Portuguese seaport sector’, in IAME2007 Annual Conference ‘Challenges and Trends in Shipping: Markets, Investments and Policies’, Association of Maritime Economists (IAME), 4–6 July, Athens, Greece.
10. Charnes, A., Cooper, W. and Rhodes, E. (1978) ‘Measuring the efficiency of decision–making units’, European Journal of Operational Research, Vol. 2, No. 6, pp.429–444.
11. Charnes, A., Cooper, W., Golany, B., Seiford, L. and Stutz, J. (1985) ‘Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions’, Journal of Econometrics, Vol. 30, No. 1, pp.91–107.
12. Cooper, W., Seiford, L. and Tone, K. (2006) Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References, Springer Verlag, New York.
13. Cullinane, K., Song, D., Ping, J. and Wang, T. (2004) ‘An application of DEA windows analysis to container port production efficiency’, Review of Network Economics, Vol. 3, No. 2, pp.184–206.
14. De Witte, K. and Marques, R. (2007) ‘Designing incentives in local public utilities, an international comparison of the drinking water sector’, CES Discussion Paper Series 32, Catholic University of Leuven, Leuven, forthcoming in Central European Journal of Operations Research.
15. Dias, J. (2005) Logística Global e Macrologística, Edições Sílabo, Lisbon.
16. Dyson, R. (2000) ‘Performance measurement and data envelopment analysis – ranking are ranks! ’, OR Insight, Vol. 13, No. 4, pp.3–8.
17. Efron, B. (1979) ‘Bootstrap methods: another look at the jackknife’, Annals of Statistics, Vol. 7, No. 1, pp.1–26.
18. Farrell, M. (1957) ‘The measurement of productive efficiency’, Journal of the Royal Statistical Society, Vol. 120A, No. 3, pp.253–290.
19. Hall, P. (1986) ‘On the number of bootstrap simulations required to construct a confidence interval’, Annals of Statistics, Vol. 14, No. 4, pp.1453–1462.
20. Itoh, H. (2002) ‘Efficiency changes at major container ports in Japan: a window application of data envelopment analysis’, Review of Urban and Regional Development Studies, Vol. 14, No. 2, pp.133–152.
21. Manzano, J., Quijada, M. and Nuño, M. (2004) ‘Economic evaluation of the Spanish port system using the promethee multicriteria decision method’, Working paper 84, Centro de Estudios Andaluces, Seville.
22. Park, R. and De, P. (2004) ‘An alternative approach to efficiency measurement of seaports’, Maritime Economics & Logistics, Vol. 6, No. 1, pp.53–69.
23. Rodrigue, J., Comtois, C. and Slack, B. (2006) The Geography of Transport Systems, Routledge, New York.
24. Roll, Y. and Hayuth, Y. (1993) ‘Port performance comparison applying data envelopment analysis (DEA)’, Maritime Policy & Management, Vol. 20, No. 2, pp.153—161.
25. Silverman, B. (1986) Density Estimation of Statistics and Data Analysis, Chapman and Hall, London.
26. Simar, L. and Wilson, P. (1998) ‘Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric models’, Management Science, Vol. 44, No. 1, pp.46—61.
27. Simar, L. and Wilson, P. (2000) ‘A general methodology for bootstrapping in nonparametric frontier models’, Journal of Applied Statistics, Vol. 27, No. 6, pp.779—802.
28. Simar, L. and Wilson, P. (2007) ‘Estimation and inference in two-stage, semi-parametric models of production processes’, Journal of Econometrics, Vol. 136, No. 1, pp.31—64.
29. Tongzon, J. (2001) ‘Efficiency measurement of selected Australian and other international ports using data envelopment analysis’, Transportation Research Part A, Vol. 35, No. 2, pp.107—122.
30. Turner, H., Windle, R. and Dresner, M. (2004) ‘North American container port productivity: 1984-1997’, Transportation Research PartE, Vol. 40, No. 4, pp.339–356.
31. Wang, T. and Cullinane, K. (2006) ‘The efficiency of European container terminals and implications to supply chain management’, Maritime Economics & Logistics, Vol. 8, No. 1, pp.82–99.