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Determinants of container port choice in Spain

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  • Simme Veldman
  • Lorena Garcia-Alonso
  • José Ángel Vallejo-Pinto

Abstract

For the economic and financial evaluation of port investment projects, it is important to know the demand function of a port's services. The objective of this study is to establish such a demand choice function for the Spanish container port services. The function is derived from the coefficients of a port choice model, for which a multinomial logit model is used and of which the coefficients are estimated with regression analysis. The variables tested concern inland transport cost, ocean transport costs and broad proxy variables for quality of service. Information on container import and export flows for 2007 is obtained from the Spanish Treasury Department. The linear regression analysis is based on differences of utilities of alternative routings of containerised cargoes compared to those routed via the port of Valencia. The obtained results are satisfactory in terms of model fit. The estimated coefficients can be used to assess the impact of changes in costs of container flows routed via a port on a port's market share. A demand choice function for the port can be derived by systematically doing so. An example is presented for the port of Valencia.

Suggested Citation

  • Simme Veldman & Lorena Garcia-Alonso & José Ángel Vallejo-Pinto, 2011. "Determinants of container port choice in Spain," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(5), pages 509-522, January.
  • Handle: RePEc:taf:marpmg:v:38:y:2011:i:5:p:509-522
    DOI: 10.1080/03088839.2011.597450
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    References listed on IDEAS

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    Cited by:

    1. S. Veldman & L. Garcia-Alonso & M. Liu, 2016. "Testing port choice models using physical and monetary data: a comparative case study for the Spanish container trades," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(4), pages 495-508, May.
    2. Vega, Laura & Cantillo, Víctor & Arellana, Julián, 2019. "Assessing the impact of major infrastructure projects on port choice decision: The Colombian case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 132-148.
    3. Peng, Peng & Yang, Yu & Lu, Feng & Cheng, Shifen & Mou, Naixia & Yang, Ren, 2018. "Modelling the competitiveness of the ports along the Maritime Silk Road with big data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 852-867.
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    5. Martínez-Pardo, Ana & Orro, Alfonso & Garcia-Alonso, Lorena, 2020. "Analysis of port choice: A methodological proposal adjusted with public data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 178-193.
    6. Naixia Mou & Chunying Wang & Tengfei Yang & Lingxian Zhang, 2020. "Evaluation of Development Potential of Ports in the Yangtze River Delta Using FAHP-Entropy Model," Sustainability, MDPI, vol. 12(2), pages 1-24, January.
    7. Talley, Wayne K. & Ng, ManWo, 2022. "Cargo port choice equilibrium: The case of shipping lines and cargo port service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    8. Rivelino R. De Icaza & Gregory S. Parnell & Edward A. Pohl, 2019. "Gulf Coast Port Selection Using Multiple-Objective Decision Analysis," Decision Analysis, INFORMS, vol. 16(2), pages 87-104, June.
    9. Li, Shengchao & Cao, Xiaoshu & Liao, Wang & He, Yongquan, 2020. "Factors in the sea ports-of-entry and road ports-of-entry cross-border logistics route choice," Journal of Transport Geography, Elsevier, vol. 84(C).
    10. Xiaodong Li & Haibo Kuang & Yan Hu, 2019. "Carbon Mitigation Strategies of Port Selection and Multimodal Transport Operations—A Case Study of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    11. Martínez-Moya, Julián & Feo-Valero, María, 2022. "Do shippers’ characteristics influence port choice criteria? Capturing heterogeneity by using latent class models," Transport Policy, Elsevier, vol. 116(C), pages 96-105.
    12. Julián Martínez Moya & María Feo Valero, 2017. "Port choice in container market: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 300-321, May.
    13. Sang-Yoon Lee & Hyunwoo Lim & Hwa-Joong Kim, 2017. "Forecasting container port volume: implications for dredging," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 296-314, June.
    14. Moura, Ticiana Grecco Zanon & Garcia-Alonso, Lorena & Salas-Olmedo, María Henar, 2017. "Delimiting the scope of the hinterland of ports: Proposal and case study," Journal of Transport Geography, Elsevier, vol. 65(C), pages 35-43.
    15. Hilde Meersman & Eddy Van de Voorde & Thierry Vanelslander, 2013. "Nothing remains the same! Port competition revisited," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 2, pages 9-28, Edward Elgar Publishing.
    16. Zeng, Qingcheng & Wang, Grace W.Y. & Qu, Chenrui & Li, Kevin X., 2018. "Impact of the Carat Canal on the evolution of hub ports under China’s Belt and Road initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 96-107.
    17. Dong Yang & Ghim Ping Ong & Anthony Theng Heng Chin, 2014. "An exploratory study on the effect of trade data aggregation on international freight mode choice," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(3), pages 212-223, May.
    18. Flitsch, Verena & Brümmerstedt, Katrin, 2015. "Freight Transport Modelling of Container Hinterland Supply Chains," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 233-266, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    19. Lorena Garcia-Alonso & Jason Monios & José Ángel Vallejo-Pinto, 2019. "Port competition through hinterland accessibility: the case of Spain," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 258-277, June.
    20. Javier Cantillo & Víctor Cantillo-García & Víctor Cantillo & Julián Arellana, 2023. "Port choice using aggregate open data: an application to Colombian port zones," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 520-548, September.
    21. Moura, Ticiana Grecco Zanon & Chen, Zhangliang & Garcia-Alonso, Lorena, 2019. "Spatial interaction effects on inland distribution of maritime flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 1-10.
    22. Talley, Wayne K. & Ng, ManWo, 2021. "Cargo port choice equilibrium: A multi-perspective look at shippers’ port choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    23. Felipe Lobo Umbelino Souza & Cira Souza Pitombo & Dong Yang, 2021. "Port choice in Brazil: a qualitative research related to in-depth interviews," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-22, December.
    24. Feo-Valero, María & Martínez-Moya, Julián, 2022. "Shippers vs. freight forwarders: Do they differ in their port choice decisions? Evidence from the Spanish ceramic tile industry," Research in Transportation Economics, Elsevier, vol. 95(C).

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