Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/73297
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Eugenio Martín, Juan Luis | en_US |
dc.contributor.author | Cazorla Artiles, José Manuel | en_US |
dc.date.accessioned | 2020-06-16T08:17:33Z | - |
dc.date.available | 2020-06-16T08:17:33Z | - |
dc.date.issued | 2020 | en_US |
dc.identifier.issn | 0160-7383 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/73297 | - |
dc.description.abstract | This paper develops an intuitive methodology to reveal latent tourism demand. The aim is to quantify its scale by distinguishing the pair of origin-destination and the kind of tourism. The methodology starts measuring the market size that depends on origin population size and their willingness to participate in outbound tourism. Additionally, it takes into account the varying preferences of each origin population for different kinds of tourism. Finally, it compares the current market share of tourism with the expected market share, which is estimated using a random parameter logit model. The study draws on data from EU-28 countries. It provides indicators to select target markets to be strengthened and design strategies based on better air connectivity or oriented marketing campaigns. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Annals Of Tourism Research | en_US |
dc.source | Annals of Tourism Research[ISSN 0160-7383],v. 84, (Septiembre 2020) | en_US |
dc.subject | 531290 Economía sectorial: turismo | en_US |
dc.subject.other | Air Connectivity | en_US |
dc.subject.other | Latent Demand | en_US |
dc.subject.other | Market Shares | en_US |
dc.subject.other | Marketing Campaign | en_US |
dc.subject.other | Target Markets | en_US |
dc.title | The shares method for revealing latent tourism demand | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.annals.2020.102969 | en_US |
dc.identifier.scopus | 85085932832 | - |
dc.contributor.authorscopusid | 10438897400 | - |
dc.contributor.authorscopusid | 57205575163 | - |
dc.relation.volume | 84 | en_US |
dc.investigacion | Ciencias Sociales y Jurídicas | en_US |
dc.type2 | Artículo | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Septiembre 2020 | en_US |
dc.identifier.ulpgc | Sí | es |
dc.description.sjr | 2,159 | |
dc.description.jcr | 9,011 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q1 | |
dc.description.ssci | SSCI | |
dc.description.erihplus | ERIH PLUS | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.author.dept | GIR Economía de las Infraestructuras, el Transporte y el Turismo | - |
crisitem.author.dept | Departamento de Análisis Económico Aplicado | - |
crisitem.author.dept | GIR Economía de las Infraestructuras, el Transporte y el Turismo | - |
crisitem.author.dept | Departamento de Análisis Económico Aplicado | - |
crisitem.author.orcid | 0000-0002-2444-3338 | - |
crisitem.author.orcid | 0000-0002-8329-2955 | - |
crisitem.author.parentorg | Departamento de Análisis Económico Aplicado | - |
crisitem.author.parentorg | Departamento de Análisis Económico Aplicado | - |
crisitem.author.fullName | Eugenio Martín, Juan Luis | - |
crisitem.author.fullName | Cazorla Artiles, José Manuel | - |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
14
checked on Nov 17, 2024
WEB OF SCIENCETM
Citations
10
checked on Nov 17, 2024
Page view(s)
98
checked on Jun 22, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.