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High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience

China and Spain are currently among the top tourist destinations, coming third and fourth place in the 2014 world ranking of tourist arrivals, behind France and the US. Tourism is crucial for the economies of Spain and China, and both countries have the longest high speed rail (HSR) networks in the...

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Autores principales: Campa, Juan Luis, López-Lambas, María Eugenia, Guirao, Begoña
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127499/
https://www.ncbi.nlm.nih.gov/pubmed/32288374
http://dx.doi.org/10.1016/j.jtrangeo.2016.09.012
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author Campa, Juan Luis
López-Lambas, María Eugenia
Guirao, Begoña
author_facet Campa, Juan Luis
López-Lambas, María Eugenia
Guirao, Begoña
author_sort Campa, Juan Luis
collection PubMed
description China and Spain are currently among the top tourist destinations, coming third and fourth place in the 2014 world ranking of tourist arrivals, behind France and the US. Tourism is crucial for the economies of Spain and China, and both countries have the longest high speed rail (HSR) networks in the world. What role has HSR infrastructure played in the development of tourism in both countries? Little research has been done to date, even in Europe, to estimate empirically how tourism indicators are affected by new HSR lines. In 2012 a multivariate panel analysis by Chen and Haynes was applied to 27 Chinese regions, and confirmed that emerging high speed rail services (during the period 1999–2010) had significant positive impacts on boosting tourism in China. No similar empirical tool has ever been tested in Europe. The aim of this paper is to analyse and validate this tool when applied to the Spanish context, and to develop a comparative analysis with the Chinese case study. The methodology is applied to 47 Spanish provinces during the period 1999–2015, and the results clearly reveal a positive but lower-value link (compared to China) between the increase in certain tourism outputs (foreign arrivals and revenues) and HSR network construction. However, further research is needed into the model's limitations, namely the availability of suitable tourism indicators in the official databases, the HSR explanatory variables considered, and the ability to detect “circular cause-effects” between HSR and tourism.
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spelling pubmed-71274992020-04-08 High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience Campa, Juan Luis López-Lambas, María Eugenia Guirao, Begoña J Transp Geogr Article China and Spain are currently among the top tourist destinations, coming third and fourth place in the 2014 world ranking of tourist arrivals, behind France and the US. Tourism is crucial for the economies of Spain and China, and both countries have the longest high speed rail (HSR) networks in the world. What role has HSR infrastructure played in the development of tourism in both countries? Little research has been done to date, even in Europe, to estimate empirically how tourism indicators are affected by new HSR lines. In 2012 a multivariate panel analysis by Chen and Haynes was applied to 27 Chinese regions, and confirmed that emerging high speed rail services (during the period 1999–2010) had significant positive impacts on boosting tourism in China. No similar empirical tool has ever been tested in Europe. The aim of this paper is to analyse and validate this tool when applied to the Spanish context, and to develop a comparative analysis with the Chinese case study. The methodology is applied to 47 Spanish provinces during the period 1999–2015, and the results clearly reveal a positive but lower-value link (compared to China) between the increase in certain tourism outputs (foreign arrivals and revenues) and HSR network construction. However, further research is needed into the model's limitations, namely the availability of suitable tourism indicators in the official databases, the HSR explanatory variables considered, and the ability to detect “circular cause-effects” between HSR and tourism. Elsevier Ltd. 2016-12 2016-10-03 /pmc/articles/PMC7127499/ /pubmed/32288374 http://dx.doi.org/10.1016/j.jtrangeo.2016.09.012 Text en © 2016 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Campa, Juan Luis
López-Lambas, María Eugenia
Guirao, Begoña
High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience
title High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience
title_full High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience
title_fullStr High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience
title_full_unstemmed High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience
title_short High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience
title_sort high speed rail effects on tourism: spanish empirical evidence derived from china's modelling experience
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127499/
https://www.ncbi.nlm.nih.gov/pubmed/32288374
http://dx.doi.org/10.1016/j.jtrangeo.2016.09.012
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