Port Efficiency Assessment for Selecting Transit Port for West African Land Locked Countries

Authors

  • Whajah Samuel Miezah  School of Economics and Management, Shanghai Maritime University, Shanghai, PR China
  • Gifty Whajah  Future Academy of Science and Technology, 3768 Hunan Highway, Shanghai, P.R China

DOI:

https://doi.org/10.32628/IJSRST218485

Keywords:

Port, Efficiency, West Africa, transit, landlocked, Countries

Abstract

The fundamental purpose of this paper is to assess the efficiency of port in West Africa and selectively select the best transit port for landlocked West African countries and for that matter data envelopment analysis will be used for this research. Seven (7) ports were selected out of twelve (12) using container throughput level for the basis of their selection, whiles DEA model was used for the determination of their relative efficiencies and their over time efficiencies through window analysis. It is noted that. The study noted that based on the operational efficiency of the port of Tema in Ghana, port Lomé and port of Douala, they should serve and standout as the transit port when it comes to West African landlocked countries selecting of transit port. It is recommended that there should be an expansion in infrastructure which is which should be the target so as to improve operational efficiency in West African port. Ports authorities should look more into that because is the beacon of ports efficiency and performance, because infrastructure propels ports mass production once those infrastructures are properly utilized.

References

  1. Samuel Pyeatt Menefee “ “The Oar of Odysseus”: Landlocked and “Geographically Disadvantaged” States in Historical Perspective” 10
  2. Upretty, The Transit Regime for Landlocked States. 5
  3. The Convention and Statute on freedom of Transit (adopted 20th April 1921, entered into force 31 October 1922) 171 LNTS Vol 7, p11.
  4. Evlo, K. (1994). Transit transport systems in West and Central Africa: Issues, actions and constraints. Geneva: UNCTAD
  5. Arvis, J-.F., Gael, R. and Jean-Francois, M. (2010) The Cost of Being Landlocked: Logistics Costs and Supply Chain Reliability. World Bank, Washington DC. https://doi.org/10.1596/978-0-8213-8408-4
  6. Andrius, J. and Aidas, V.V. (2007) Research on Dry Port Concept as Intermodal Node. Transport, 22, 207-213.
  7. Limao, N. and Venables, A.J. (2001) Infrastructure, Geographical Disadvantage, Transport Costs and Trade. The World Bank Economic Review, 15, 451-479. https://doi.org/10.1093/wber/15.3.451
  8. Tom, V. and Cathy, M. (2016) Intermodal Land Transportation Systems and Port Choice, an Analysis of Stated Choices among Shippers in the Rhine-Scheldt Delta. Maritime Policy & Management, 43, 992-1004. https://doi.org/10.1080/03088839.2016.1172277
  9. Malchow, M. and Kanafani, A. (2001) A Disaggregate Analysis of Factors Influencing Port Selection. Maritime Policy and Management, 28, 265-277. https://doi.org/10.1080/03088830110060840
  10. McGinnis, M.A. (1979) Shipper Attitudes toward Freight Transportation Choice: A Factor Analytic Study. International Journal of Physical Distribution and Materials Management, 10, 25-34. https://doi.org/10.1108/eb014464
  11. Charnes, A., Cooper, W.W. and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. http://dx.doi.org/10.1016/0377-2217(78)90138-8
  12. Banker, R., Charnes, A. and Cooper, W. (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science,30,1078-1092. http://dx.doi.org/10.1287/mnsc.30.9.1078
  13. Roll, Y. and Hayuth, Y.: Port performance comparison applying data envelopment analysis, Maritime Policy and Management, Vol.20,No.2,1993, pp.153–161
  14. Min, H., Park, B.I.: Evaluating the inter-temporal efficiency trends of international container terminals using data envelopment analysis, Int. J. Integrated Supply Management, Vol. 1, No. 3, 2005, pp 258-277
  15. Stopford, M. (1997). Maritime Economics. Abingdon, Oxon: Routledge Tiwari, P., Itoh, H., &Doi, M. (2003). -Shippers Port and carrier selection 'behaviour in China:' A discrete choice Analysis. Maritime Economics&Logistics, 5,23-39
  16. Ma, S. (2007). Maritime Economics: Malmo, World Maritime University. (Unpublished).
  17. Winkelmans, W. (2003). Port competitiveness and Port competition: two of a kind? Paper presented at the IAPH congress, Durban
  18. Ugboma, C., Ugboma, &Ogwude, C. I. (2006). An Analytic Hierarchy Process (AHP) Approach to Port Selection Decisions-Empirical Evidence from Nigerian Ports. Maritime Economics & Logistics, 8,251-266
  19. Tongzon, J.: Efficiency measurement of selected Australian and other international ports using data envelopment analysis, Transportation Research Part A, Vol. 35, No. 2, 2001, pp 107-122
  20. Cullinane, K.P.B. and Wang, T.F. (2006) The Efficiency of European Container Ports: A Cross-Sectional Data Envelopment Analysis. International Journal of Logistics Research and Applications, 9, 19-31. http://dx.doi.org/10.1080/13675560500322417
  21. Roll, Y. and Hayuth, Y.: Port performance comparison applying data envelopment analysis, Maritime Policy and Management, Vol.20,No.2,1993, pp.153–161
  22. Charnes, A., Cooper, W.W. and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. http://dx.doi.org/10.1016/0377-2217(78)90138-8
  23. Cullinane, K.P.B. and Wang, T.F. (2006) The Efficiency of European Container Ports: A Cross-Sectional Data Envelopment Analysis. International Journal of Logistics Research and Applications, 9, 19-31. http://dx.doi.org/10.1080/13675560500322417
  24. Cullinane, K.P.B., Wang, T.F. and Cullinane, S.L. (2004) Container Terminal Development in Mainland China and Its Impact on the Competitiveness of the Port of      Hong    Kong.Transport            Reviews, 24, 33-56. http://dx.doi.org/10.1080/0144164032000122334
  25. Charnes, A., Cooper, W.W. and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. http://dx.doi.org/10.1016/0377-2217(78)90138-8
  26. Banker, R., Charnes, A. and Cooper, W. (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science,30,1078-1092.
  27. Charnes, A., Cooper, W.W. and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. http://dx.doi.org/10.1016/0377-2217(78)90138-8
  28. ITN Source (2014) TOGO: Togo Launches 640 Million US Dollar Berth Expansion at Lomé Port. http://www. itnsource.com/en/shotlist/RTV/2014/10/15/RTV151014011

International Journal of Scientific Research in Science and Technology

Downloads

Published

2021-08-30

Issue

Volume 8, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Whajah Samuel Miezah, Gifty Whajah "Port Efficiency Assessment for Selecting Transit Port for West African Land Locked Countries" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 4, pp.568-582, July-August-2021. Available at doi : https://doi.org/10.32628/IJSRST218485