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Flows into tourist areas: an econometric approach

Flows into tourist areas: an econometric approach The globalisation of the tourism industry has led to a horizontal and vertical penetration of firms, leading to strong competition in all tourist centres. In light of these circumstances there is a need to develop strategies that encourage entrepreneurial actions and help firms to design the most competitive tourism offer possible. For the development of these strategies, the current work attempts to identify the degree of interrelation existing between the different tourist markets. Specifically, the study is based on an analysis of the evolution in the relations between the main tourist‐receiving centres in Spain. It identifies the short‐ and long‐term dynamic relations existing between them, and determines their degree of interdependence and any potential leadership relations between them. The methodology used is the one underlying Cointegration theory and vector autoregressive theory, together with forecast error variance decomposition and the impulse‐response function. Copyright © 2008 John Wiley & Sons, Ltd. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Tourism Research Wiley

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References (19)

Publisher
Wiley
Copyright
Copyright © 2008 John Wiley & Sons, Ltd.
ISSN
1099-2340
eISSN
1522-1970
DOI
10.1002/jtr.657
Publisher site
See Article on Publisher Site

Abstract

The globalisation of the tourism industry has led to a horizontal and vertical penetration of firms, leading to strong competition in all tourist centres. In light of these circumstances there is a need to develop strategies that encourage entrepreneurial actions and help firms to design the most competitive tourism offer possible. For the development of these strategies, the current work attempts to identify the degree of interrelation existing between the different tourist markets. Specifically, the study is based on an analysis of the evolution in the relations between the main tourist‐receiving centres in Spain. It identifies the short‐ and long‐term dynamic relations existing between them, and determines their degree of interdependence and any potential leadership relations between them. The methodology used is the one underlying Cointegration theory and vector autoregressive theory, together with forecast error variance decomposition and the impulse‐response function. Copyright © 2008 John Wiley & Sons, Ltd.

Journal

International Journal of Tourism ResearchWiley

Published: Jan 1, 2009

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