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Determinants of a regional port-centric logistics hub: The case of East Africa

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Abstract

Demand for port capacity in East Africa is rising rapidly, and possibilities for expansion in the existing ports are limited. Studies indicate that, by 2016, a new port north of Dar es Salaam (Tanzania) should be operational, serving, as a regional hub, the needs of the total (captive and non-captive) hinterland of East African ports. The objective of this article is to assess the economic potential, in terms of logistics costs of alternative hub-port locations. To that effect we first describe the flow of goods in the Nairobi – Durban port range and the landlocked countries; the available inland transport options; and the related transport costs and quality of service aspects. The inland and maritime transport costs are investigated and compared next, for the import-export routings of 18 different trade combinations between six landlocked countries (Uganda, Rwanda, Burundi, DRC Great Lakes/Copper Belt, Zambia and Malawi) and five ports (Mombasa, Dar es Salaam, Durban, Beira and Nacala). The article estimates the parameters of a multinomial logit model by comparing the differences in logistics costs of routings via Dar es Salaam and other ports. A port demand function is derived as a result. The article concludes that, in view of its distance from the arterial maritime container trade routes, the new port could only function as a regional lower-tier hub and distribution centre for the trade of Tanzania and Kenya, and of landlocked countries ranging from Uganda in the north to Zambia in the south. At present, this role is mostly played by ports in the Middle East, whereas East African ports serve merely as transit points.

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Notes

  1. For a related study dealing with similar issues at the east coast of Latin America, see Aversa et al (2005).

  2. Users of transport facilities impact the situation of other users. In the negative case, for example, when the activity of one user causes extra costs to others, we talk of congestion costs. In the positive case, when users’ activities improve the welfare situation of other users, we talk about the ‘Mohring effect’. The project Unification of accounts and marginal costs for Transport Efficiency (UNITE, 2003), is a project under the Fifth Framework Programme of the European Commission, where attention is paid to the quantification of Mohring effects through case studies concerning passenger and freight transport.

  3. The inverse of container throughput was also considered, but appeared to be statistically insignificant.

References

  • Anderson, C.M., Opaluch, P.P. and Grigalunas, T.A. (2009) The demand for import services at US container ports. Maritime Economics and Logistics 11 (2): 156–185.

    Article  Google Scholar 

  • Aversa, R., Botter, R.C., Haralambides, H.E. and Yoshizaki, H.T.Y. (2005) A mixed integer programming model on the location of a hub port in the east coast of South America. Maritime Economics and Logistics 7 (1): 1–18.

    Article  Google Scholar 

  • CFM. (2008) Relatório do Desempenho do CFM, Janeiro – Dezembro 2007. Maputo: Portos e Caminhos de Ferro de Moçambique, E.P., March.

  • CI-Online, www.ci-online.co.uk.

  • Collison, F.M. (1984) Market segments for marine liner service. Transportation Journal 24: 40–54.

    Google Scholar 

  • CPI. (2008) Consumer price index Mozambique. Bulletin of Government of Mozambique.

  • CPCS Transcom. (2008) East African Railways Masterplan Study. Final Report. June.

  • Haralambides, H.E. (1995) Port structural adjustment and labour reform. 7th World Conference on Transport Research, Sydney, Australia.

  • Haralambides, H.E. (2002) Competition, excess capacity and the pricing of port infrastructure. International Journal of Maritime Economics 4: 323–347.

    Article  Google Scholar 

  • Haralambides, H.E. and Behrens, R. (2000) Port restructuring in a global economy: An Indian perspective. International Journal of Transport Economics 27 (1): 19–39.

    Google Scholar 

  • Haralambides, H.E., Ma, S. and Veenstra, A.W. (1997) Worldwide experiences of port reform. In: H. Meersman and E. v.d. Voorde (eds.) Transforming the Port and Transportation Business. Leuven: Acco Publishing.

    Google Scholar 

  • Haralambides, H.E. and Veenstra, A.W. (2000) Modelling performance in liner shipping. In: K.J. Button and D.A. Hensher (eds.) Handbook of Transport Modelling. Pergamon-Elsevier Science.

    Google Scholar 

  • Hoffmann, T.M. (2004) Integrated Framework Rwanda Diagnostic Trade Integration Study (unpublished report).

  • KPA. (2009) Kenya Port Authority (KPA) statistics, www.kpa.co.ke.

  • Langen de, P.W. (2004) Governance in seaport clusters. Maritime Economics and Logistics 6 (2): 141–156.

    Article  Google Scholar 

  • Lirn, T.C., Thanopoulou, H.A., Beynon, M.J. and Beresford, A.K.C. (2004) An application of AHP on transhipment port selection: A global perspective. Maritime Economics and Logistics 6 (1): 70–91.

    Article  Google Scholar 

  • Jansson, J.O. and Shneerson, D. (1987) Liner Shipping Economics. London: Chapman and Hall.

    Book  Google Scholar 

  • Malchow, M.B. and Kanafani, A. (2004) A disaggregate analysis of port selection. Transportation Research Part E 40: 317–337.

    Article  Google Scholar 

  • MCLI. (2008) Maputo Development Corridor as a Model of a Cross Border Transport Infrastructure Project. Maputo: Maputo Corridor Logistics Initiative, May.

  • Oum, T.H. (1989) Alternative demand models and their elasticity estimates. Journal of Transport Economics and Policy 23 (2): 163–187.

    Google Scholar 

  • Penfold, A. (2006) Container Trade and Container Port Capacity to 2020. Seychelles: Ocean Shipping Consultants.

  • Peters, H.J. (1989) Logistics and Transport. The World Bank. Policy Research Series.

  • Raballand, G., Kunaka, C. and Giersing, B. (2008) The Impact of Regional Liberalization and Harmonization in Road Transport Services: A Focus on Zambia and Lessons for Landlocked Countries. Washington DC: The World Bank, January.

  • Scherer, F.M. (1980) Industrial Market Structure and Economic Performance. Chicago: Rand McNally.

    Google Scholar 

  • Song, D.-W. and Yeo, K.-T. (2004) A competitive analysis of Chinese container ports using the analytic hierarchy process. Maritime Economics and Logistics 6 (1): 34–52.

    Article  Google Scholar 

  • SUMATRA. (2008) Basic Statistics on Regulated Sub-Sectors. October, Surface and Marine Transport Regulatory Authority, SUMATRA.

  • THA. (2009a) Port Master Plan Study – Interim Report. September, Tanzania Harbour Authority (THA).

  • THA. (2009b) Tanzania Harbour Authority Statistics, www.tanzaniaports.com.

  • Tiwari, P., Itoh, H. and Doi, M. (2003) Shippers’ port and carrier selection behaviour in China: A discrete choice analysis. Maritime Economics and Logistics 5 (1): 23–39.

    Article  Google Scholar 

  • UNITE. (2003) UNIfication of accounts and marginal costs for transport efficiency. Project funded by the European Commission under the Fifth Framework Transport R&D Programme.

  • Veldman, S.J. and Bückmann, E.H. (2003) A model on container port competition: An application for the West European container hub-ports. Maritime Economics and Logistics 5 (1): 3–22.

    Article  Google Scholar 

  • Veldman, S.J., Bückmann, E.H. and Saitua, R.N. (2005) River depth and container port market shares: The impact of deepening the Scheldt river on the West European container hub-port market shares. Maritime Economics and Logistics 7 (4): 336–355.

    Article  Google Scholar 

  • Veldman, S.J. and Rachman, A. (2008) A model of transhipment port competition: a test with cross-section and time-series data for the Mediterranean. IAME Conference, Dalian, China.

  • World Bank. (2004) Malawi Trade and Transport Facilitation Audit. Washington, DC: The World Bank, International Trade Department.

  • Zhang, A. (2008) The impact of hinterland access conditions on rivalry between ports. Discussion paper no. 2008-8, Joint Research Centre, OECD and ITF.

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Acknowledgements

The authors are thankful to the World Bank for providing funding to this research. Views expressed herein do not necessarily reflect those of the Bank. An earlier version of the article was presented at the IAME conference in Lisbon, in the summer of 2010.

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Correspondence to Hercules Haralambides.

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Haralambides, H., Veldman, S., van Drunen, E. et al. Determinants of a regional port-centric logistics hub: The case of East Africa. Marit Econ Logist 13, 78–97 (2011). https://doi.org/10.1057/mel.2010.17

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