IDEAS home Printed from https://ideas.repec.org/a/col/000411/015315.html

El transporte modal de carga fluvial: Un estudio de la reactivación del río Magdalena

Author

Listed:
  • Gustavo Alberto Zambrano

Abstract

Este trabajo examina la demanda modal de transporte de carga en el Río Magdalena, para estudiar los efectos que tendrá el proyecto de rehabilitación de la navegabilidad en él. Utilizando información recogida en una encuesta a 30 empresas importadoras y exportadoras en Bogotá, se construyen modelos elección discreta que estiman las probabilidades de utilizar la vía fluvial, así como las elasticidades ante cambios en tarifas de transporte, tiempos de trayecto, confiabilidad y regularidad. Se encuentra que la tarifa, el tiempo, y la confiabilidad del servicio que ofrezca el transporte por el río afectarían la probabilidad de utilizarlo. El modelo de mejor bondad de ajuste predice probabilidades de utilizar el modo fluvial de entre 10,5% y 24,5%, dependiendo de la eficiencia de las variables mencionadas. Los resultados sugieren la necesidad de adelantar inversiones que permitan que el Rio Magdalena no solo sea competitivo en costos, sino también en tiempos de viaje y puntualidad.

Suggested Citation

  • Gustavo Alberto Zambrano, 2016. "El transporte modal de carga fluvial: Un estudio de la reactivación del río Magdalena," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 10(2), pages 183-217.
    • Handle: RePEc:col:000411:015315
    as

    Download full text from publisher

    File URL: https://revistas.utb.edu.co/index.php/economiayregion/article/view/131
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mauricio Cárdenas Santa María & Alejandro Gaviria Uribe & Marcela Mel�ndez Arjona, 2005. "La infraestructura de transporte en Colombia," Informes de Investigación 3034, Fedesarrollo.
    2. Louis Anthony Cox Jr. & Weihsueh A. Chiu & David M. Hassenzahl & Daniel M. Kammen, 2000. "Response," Risk Analysis, John Wiley & Sons, vol. 20(3), pages 295-296, June.
    3. Leandro García-Menéndez & Inmaculada Martínez-Zarzoso & Delia Pinero De Miguel, 2004. "Determinants of Mode Choice between Road and Shipping for Freight Transport: Evidence for Four Spanish Exporting Sectors," Journal of Transport Economics and Policy, University of Bath, vol. 38(3), pages 447-466, September.
    4. María Feo-Valero & Leandro García-Menéndez & Rodrigo Garrido-Hidalgo, 2011. "Valuing Freight Transport Time using Transport Demand Modelling: A Bibliographical Review," Transport Reviews, Taylor & Francis Journals, vol. 31(5), pages 625-651.
    5. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, January.
    7. Emile Quinet & Roger Vickerman, 2004. "Principles of Transport Economics," Books, Edward Elgar Publishing, number 2581, August.
    8. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LLC, vol. 7(3), pages 388-401, September.
    9. Felipe Castro & Helena Garc�a & Juan Benavides, 2015. "Estudio de impacto socioeconómico para el proyecto de recuperación de la navegabilidad por el Río Magdalena," Informes de Investigación 14441, Fedesarrollo.
    10. Notteboom, Theo, 2012. "Challenges for container river services on the Yangtze River: A case study for Chongqing," Research in Transportation Economics, Elsevier, vol. 35(1), pages 41-49.
    11. Train, Kenneth & Wilson, Wesley W., 2008. "Estimation on stated-preference experiments constructed from revealed-preference choices," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 191-203, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luis Armando Galvis-Aponte & Camilo Andrés Quintero-Fragozo, 2017. "Geografía económica de los municipios ribereños del Magdalena," Documentos de trabajo sobre Economía Regional y Urbana 265, Banco de la Republica de Colombia.
    2. Tapia, Rodrigo Javier & dos Santos Senna, Luiz Afonso & Larranaga, Ana Margarita & Cybis, Helena Beatriz Bettella, 2019. "Joint mode and port choice for soy production in Buenos Aires province, Argentina," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 100-118.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco A. Palma & Dmitry V. Vedenov & David Bessler, 2020. "The order of variables, simulation noise, and accuracy of mixed logit estimates," Empirical Economics, Springer, vol. 58(5), pages 2049-2083, May.
    2. Meredith Fowlie, 2010. "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement," American Economic Review, American Economic Association, vol. 100(3), pages 837-869, June.
    3. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2017. "The impact of operational exposure and value-of-time on customer choice: Evidence from the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 455-471.
    4. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    5. Yan, Zhen & Zhou, Jie-hong, 2015. "Measuring consumer heterogeneous preferences for pork traits under media reports: choice experiment in sixteen traceability pilot cities, China," 2015 Conference, August 9-14, 2015, Milan, Italy 212609, International Association of Agricultural Economists.
    6. Tong Wu & Shida Rastegari Henneberry & John N. Ng’ombe & Richard T. Melstrom, 2020. "Chinese Demand for Agritourism in Rural America," Sustainability, MDPI, vol. 12(7), pages 1-11, April.
    7. Daniele Pacifico, 2012. "Fitting nonparametric mixed logit models via expectation-maximization algorithm," Stata Journal, StataCorp LLC, vol. 12(2), pages 284-298, June.
    8. Cranford, Matthew & Mourato, Susana, 2014. "Credit-Based Payments for Ecosystem Services: Evidence from a Choice Experiment in Ecuador," World Development, Elsevier, vol. 64(C), pages 503-520.
    9. Drake, Coleman, 2019. "What are consumers willing to pay for a broad network health plan?: Evidence from covered California," Journal of Health Economics, Elsevier, vol. 65(C), pages 63-77.
    10. Galassi, Veronica & Madlener, Reinhard, 2017. "The Role of Environmental Concern and Comfort Expectations in Energy Retrofit Decisions," Ecological Economics, Elsevier, vol. 141(C), pages 53-65.
    11. Jeffrey E. Harris & Beatriz G. Lopez‐Valcarcel & Patricia Barber & Vicente Ortún, 2017. "Allocation of Residency Training Positions in Spain: Contextual Effects on Specialty Preferences," Health Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 371-386, March.
    12. Haile, Kaleab K. & Tirivayi, Nyasha & Tesfaye, Wondimagegn, 2019. "Farmers’ willingness to accept payments for ecosystem services on agricultural land: The case of climate-smart agroforestry in Ethiopia," Ecosystem Services, Elsevier, vol. 39(C).
    13. Krucien, Nicolas & Ryan, Mandy & Hermens, Frouke, 2017. "Visual attention in multi-attributes choices: What can eye-tracking tell us?," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 251-267.
    14. Yan, Zhen & Zhou, Jie-hong, 2015. "Measuring consumer heterogeneous preferences for pork traits under media reports: choice experiment in sixteen traceability pilot cities, China," 2015 Conference, August 9-14, 2015, Milan, Italy 211884, International Association of Agricultural Economists.
    15. León-Ciliotta, Gianmarco & Miguel, Edward, 2013. "Transportation Choices and the Value of Statistical Life," Department of Economics, Working Paper Series qt2466n61j, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    16. Kaambwa, Billingsley & Lancsar, Emily & McCaffrey, Nicola & Chen, Gang & Gill, Liz & Cameron, Ian D. & Crotty, Maria & Ratcliffe, Julie, 2015. "Investigating consumers' and informal carers' views and preferences for consumer directed care: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 140(C), pages 81-94.
    17. Schmitz, Hendrik & Stroka, Magdalena A., 2014. "Do Elderly Choose Nursing Homes by Quality, Price or Location?," Ruhr Economic Papers 495, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    18. Yuanyuan Gu & Arne Risa Hole & Stephanie Knox, 2013. "Fitting the generalized multinomial logit model in Stata," Stata Journal, StataCorp LLC, vol. 13(2), pages 382-397, June.
    19. Feo-Valero, María & Arencibia, Ana Isabel & Román, Concepción, 2016. "Analyzing discrepancies between willingness to pay and willingness to accept for freight transport attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 151-164.
    20. Mishra, Bijesh, 2022. "Economics and human dimension of active management of forest-grassland ecotone in South-central USA under changing climate," MPRA Paper 116200, University Library of Munich, Germany, revised 30 Jul 2022.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000411:015315. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Economia y Region (email available below). General contact details of provider: https://edirc.repec.org/data/feutbco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.