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Determinants of the demand for maritime imports and exports

Author

Listed:
  • Coto-Millán, Pablo
  • Baños-Pino, José
  • Castro, José Villaverde

Abstract

The main contribution of this research is to offer a theoretical explicative model and provide empirical evidence to the determinant variables which explain the behaviour of maritime imports and exports for a particular economy such as the Spanish one. Until now, maritime transport demand functions have been estimated without taking into account whether they referred to imports or exports. Moreover, the international trade literature has, from a theoretical point of view, formulated and estimated import and export demand functions in general without considering the mode of transport used.

Suggested Citation

  • Coto-Millán, Pablo & Baños-Pino, José & Castro, José Villaverde, 2005. "Determinants of the demand for maritime imports and exports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(4), pages 357-372, July.
    • Handle: RePEc:eee:transe:v:41:y:2005:i:4:p:357-372
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    Cited by:

    1. Marco Ferretti & Ugo Fiore & Francesca Perla & Marcello Risitano & Salvatore Scognamiglio, 2022. "Deep Learning Forecasting for Supporting Terminal Operators in Port Business Development," Future Internet, MDPI, vol. 14(8), pages 1-19, July.
    2. Tsung-Chen Lee & Chia-Hsuan Wu & Paul T.-W. Lee, 2010. "Impacts of the ECFA on seaborne trade volume and policy development for shipping and port industry in Taiwan," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(2), pages 169-189, December.
    3. Carlos Pestana Barros, 2016. "Demand analysis in Angola seaports," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(6), pages 676-682, August.
    4. Francesco Parola & Giovanni Satta & Theo Notteboom & Luca Persico, 2021. "Revisiting traffic forecasting by port authorities in the context of port planning and development," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 444-494, September.
    5. Yi Xiao & Shouyang Wang & Ming Xiao & Jin Xiao & Yi Hu, 2017. "The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 851-863, May.
    6. Feng-Ming Tsai & Linda J.W. Huang, 2017. "Using artificial neural networks to predict container flows between the major ports of Asia," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5001-5010, September.
    7. Ching-Chih Chou & Chien-Wen Shen & Dapeng Gao & Yang Gao & Kai Wang & Sang-Bing Tsai, 2018. "Modelling the Dynamic Impacts of High Speed Rail Operation on Regional Public Transport—From the Perspective of Energy Economy," Energies, MDPI, vol. 11(5), pages 1-15, May.
    8. Paula C. Pereda & Andrea Lucchesi, 2022. "Alternative frameworks for cost-effectiveness analysis of environmental policies in maritime transport," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 630-650, September.
    9. Chi, Junwook, 2016. "Exchange rate and transport cost sensitivities of bilateral freight flows between the US and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 1-13.

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