Análisis del foreland y de la conectividad portuaria de Cartagena de IndiasBases para los desarrollos derivados de la ampliación del Canal de Panamá.
- González Laxe, Fernando
- Pais Montes, Carlos
- Freire, María Jesús
ISSN: 1576-0162
Year of publication: 2014
Issue: 38
Pages: 49-76
Type: Article
More publications in: Revista de economía mundial
Abstract
Last years have been of great and fast growth in port and maritime transport industries operations, and globalisation of interchanges and economic relations have brought an intense process of containerisation. These transformations meant a big challenge for measuring the constitution and consolidation of port global trade networks. In this work, importance of Cartagena de Indias Port is highlighted in its maritime relations, and intensities and hierarchies of its world connections are measured, under the perspective of the Panama Canal widening, the new options that are open to maritime traffic with European ports, and the operated recomposition in transpacific traffic. Hence, ratios that allow to measure new port positioning are calculated and foreland impact are evaluated, determining new patterns in order to implement future logistic strategies.
Bibliographic References
- Agrawal, D., Das, S. y El Abbadi, A. (2011): “Big Data and Cloud Computing: Current State and Future Opportunities”, Proceedings of the 14th International Conference on Extending Database Technology, March 21-25, 530-533.
- Ashar, A (2006): “Revolution #4”, Containerisation International Review, December 2006, 47-49.
- Berkus, J. (2007): “PostgreSQL Publishes First Real Benchmark”. Toolbox.com, Jul 8,2007, accedido desde http://it.toolbox.com/blogs/database-soup/postgresql-publishes-first-real-benchmark-17470el15/05/2014.
- Branch, A. (1998): Maritime Economics. Management & Marketing, Ed. Stanley Thornes Ltd., London.
- Clark, X., Dollar, D., & Micco, A. (2002): "Maritime Transport Costs and Port Efficiency". World Bank Policy Working Paper 2781
- CONTECAR (2014): “SPRC/CONTECAR – Movimiento de carga contenerizada”, Sociedad Portuaria Regional de Cartagena, accedido desde http://cisne.puertocartagena.com/opadmco.nsf/vstRefLinkDoc/46EBDD5910BBB784052573D0006BABACel15/5/2014
- Ducruet, C. (2008): “Hub Dependence in Constrained Economies. The Case of North Korea”, Maritime Policy & Management, 35(4), 374-388.
- Ducruet, C., Lee, S.W. y Ng A.K. (2010a): “Centrality and Vulnerability in Liner Shipping Networks: Revisiting the Northeast Asian Port hierarchy”, Maritime Policy & Management, 37(1), 17-36.
- Ducruet, C., Rozenblat, C. y Zaidi, F. (2010b): “Ports in Multi-level Maritime Networks: Evidence from the Atlantic (1996-2006)”. Journal of Transport Geography, 18(4), 508-518.
- Ducruet, C., Notteboom T., Ietri, D., Banos, A. y Rozenblat, C. (2010c): “Structure and Dynamics of Liner Shipping Networks”, 2010 Annual Conference of the International Association of Maritime Economics, Lisbon 7-9 July 2010.
- Freire-Seoane, M.J. y González-Laxe, F. (2009): Tráfico Marítimo y economía global, Instituto Universitario de Estudios Marítimos, La Coruña.
- Freire-Seoane, M.J., González-Laxe, F., Pais-Montes, C. (2013): “Foreland Determination for Containership and General Cargo Ports in Europe”, Journal of Transport Geography, 30(1), 56-67.
- Fremont, A. (2007): “Global Maritime Networks. The Case of Maersk”, Journal of Transport Geography, 15(6), 431-442.
- Fronczak, A., Fronczak, P., & Hołyst, J. A. (2004): “Average Path Length in Random Networks”. Physical Review E, 70(5), 056110.
- Fruchterman, T.M.J. y Reingold, E.M. (1991): “Graph-drawing by force-directed Placement”, Software: Practice and Experience, 21(11), 1129-1164.
- González-Laxe, F., Freire-Seoane, M.J. y Pais-Montes C. (2012): “Maritime Degree, Centrality and Vulnerability: Port Hierarchies and Emerging Areas in Containerized Transport (2008-2010)”, Journal of Transport Geography, 24(1), 33-44.
- Goss R.O. (ed.) (1977): Advances in Maritime Economics, Cambridge University Press, London
- Harati-Mokhtari, A., Wall, A., Brooks, P. y Jin, W. (2007): “Automatic Identification System (AIS): Data Reliability and Human Error Implications”. The Journal of Navigation60, 373–389.
- Kaluza, P. y Kölzsch, A. (2010): “The Complex Network of Global Cargo Ship Movements”, Journal of the Royal Society Interface, 7(48), 1093-1103
- Kenessey, Z. (1987): “The Primary, Secondary, Tertiary and Quaternary Sectors of the Economy”. Review of Income and Wealth, 33(4), 359-385.
- Levinson, M. (2006): The Box: How the Shipping Container Made the World Smaller and the World Economy Bigger. Princeton University Press, New York.
- Limão, N. y Venables A.J. (2007): “Infraestructuras, desventajas geográficas, coste de transporte y comercio”, Comercio Internacional y costes de transporte, Ene-Feb 2007, 834, 23-43.
- Martínez-Zarzoso, I. y Wilmsmeier G. (2010): “Determinants of Maritime Transport Costs. A panel data analysis for Latin American Trade”, Transportation Planning and Technology, 33(1), 105-121.
- McCalla, R., Slack, B., Comtois, C. (2005). “The Caribbean Basin: Adjusting to Global Trends in Containerization”, Maritime Policy & Management32(3), 245-261.
- McConville, J. (1999). Economics of Maritime Transport. Theory and Practice, Ed. Witherby & Co., London
- OECD (2008). “The Impacts of Globalisation on International Maritime Transport Activity”. Global Forum on Transport and Environment in a Globalising World, noviembre 2008, Guadalajara, México.
- Panchenko, D., (2003): “18443 Statistics for Applications, Fall 2003”. Massachusetts Institute of Technology OpenCourseWare. Accedido desde http://ocw.mit.eduel11/03/2013.
- Pais-Montes, C., Freire-Seoane, M.J. y González-Laxe, F. (2012): “General Cargo and Containership Emergent Routes: A Complex Networks Description”, Transport Policy, 24(1), 128-140.
- Rodrigue, J.P. (2013): The Geography of Transport Systems. Routledge, Oxford.
- Stopford, M. (1997): Maritime Economics, 2 edition, Routledge, Oxford
- UNCTAD (2013): Review of Maritime Transport. United Nations, Geneva
- Watts, D., Strogatz, R. (1998): “Collective Dynamics of ‘Small-World’ Networks”. Nature, 393, 440-442.
- World Bank Global Macroeconomic Team (2010): “Prospects Weekly: A More Flexible Yuan May Further Reduce Large Global Imbalances; Baltic Dry Index drops 40%”. Prospects for Development Report. Accedido desde http://blogs.worldbank.org/prospects/prospects-weekly-a-more-flexibleyuan-may-further-reduce-large-global-imbalances-baltic-dry-index-drel15/05/2014.