Utilize este identificador para referenciar este registo: http://hdl.handle.net/11144/3142
Título: How geographical distance, GDP and linguistic affinity affects portuguese exports? A multimensional approach from 2011 to 2015
Autor: Ribeiro, Sandra
Santos, António Duarte
Castela, Guilherme
Silva, Nelson Tavares da
Palavras-chave: Exports
Data: Mai-2017
Editora: CIEO – Research Centre for Spatial and Organizational Dynamics
Citação: Santos, António Duarte., Castela, Guilherme; Silva, Nelson Tavares; Ribeiro, Sandra (2017) – How Geographical Distance, GDP and Linguistic Affinity Affects Portuguese Exports? A Multimensional Approach from 2011 to 2015. In Book of Proceedings, II International Congress - Interdisciplinarity in Social and Human Sciences (pp. 23); CIEO - Research Centre for Spatial and Organizational Dynamic: ISBN 978-989-8472-82-3.
Resumo: The geographical scope and the consequent reduction in transport costs, the evolution of the GDP of the destination countries, the membership to the European Union and linguistic affinity are use as support to an explanatory gravitational perspective for Portuguese exports in 2011-2015. This was done for the 61 main trading partners of Portugal’s exports of goods and services over the period 2011-2015, with a multidimensional perspective, using the HJ-BIPLOT method developed by Galindo (1986). This methodological approach identified and categorized the sample countries in latent constructs of reduced dimensionality related to the exports policy. The simultaneous factorial representation identified (a) the most relevant variables to characterize exports for these countries, (b) the changes between the period in analysis, and (c) the relations between variables, between countries, and between variables and countries. This approach showed that distance is not a main determinant for exports, and that GDP and export volumes have a positive relationship. In the other hand, there were identified three clusters of countries for which Portugal had different export performances, influenced, taking into account distance, linguistic affinity and GDP. This analysis showed to be useful in export problematic research, when studying multivariate data and also, by its visual nature, a potential tool for producing richer information for the academia and also for international trade policy makers.
Arbitragem científica: yes
URI: http://hdl.handle.net/11144/3142
ISBN: 978-989-8472-82-3
Versão do Editor: http://docs.wixstatic.com/ugd/30a75f_39fe560276e846b2b2b70880f1a0db8b.pdf
Aparece nas colecções:DCEE - Comunicações em conferências

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