Publication: Congestion affecting the dynamic of tourism demand: evidence from the most popular destinations in Spain
Authors
Albaladejo Pina, Isabel Pilar ; González Martínez, María Isabel
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Publisher
Taylor and Francis Group
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DOI
https://doi.org/10.1080/13683500.2017.1420043
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info:eu-repo/semantics/article
Description
© 2019 Informa UK Limited. This manuscript version is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc/4.0/
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Current Issues in Tourism. To access the final edited and published work see https://doi.org/10.1080/13683500.2017.1420043
Abstract
In this study, we propose a dynamic econometric model for tourism demand which takes into account the implications of the Tourism Area Life Cycle (TALC) theory on tourism demand. Unlike other dynamic models, in our specification the effect of the lagged demand on the current tourism demand is not constant, but dependent on congestion. We estimate the model using disaggregated data from the most visited Spanish municipalities for the period 2006–2015. Two panel data estimations are carried out: one with the coastal tourist resorts and the other one with the inland municipalities. The results show that tourism congestion reduces the positive previous tourist effect on current arrivals, suggesting that increasing congestion could worsen the attraction of a tourist destination. Congestion is more negatively perceived in inland destinations than coastal ones. Finally, a strong persistence in tourism demand for coastal destinations is shown.
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Citation
Current Issues in Tourism, 2019, Vol. 22, Issue 13, pp. 1638-1652
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