The impact of tourist destination on hotel efficiency : a data envelopment analysis approach
This paper evaluates the impact of location on hotel efficiency using a sample of 400 Spanish hotels, the novel aspect being that location is considered at the tourist destination level. Moreover, for the first time, the location variables are based on the main theoretical models concerning location...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Santiago de Compostela (USC) |
| Repositorio: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| Idioma: | inglés |
| OAI Identifier: | oai:minerva.usc.gal:10347/39360 |
| Acceso en línea: | https://hdl.handle.net/10347/39360 |
| Access Level: | acceso abierto |
| Palabra clave: | Data envelopment analysis Efficiency Location Tourist destination Hotel 5311 Organización y dirección de empresas |
| id |
ES_bf55da5dac4456daa47257b53d2ffcb0 |
|---|---|
| oai_identifier_str |
oai:minerva.usc.gal:10347/39360 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approachLado Sestayo, RubénFernández Castro, Ángel SantiagoData envelopment analysisEfficiencyLocationTourist destinationHotel5311 Organización y dirección de empresasThis paper evaluates the impact of location on hotel efficiency using a sample of 400 Spanish hotels, the novel aspect being that location is considered at the tourist destination level. Moreover, for the first time, the location variables are based on the main theoretical models concerning location in the hotel sector, namely geographical positioning models, agglomeration and urbanization economic models and competitive environment models. The methodology consists of a four-stage data envelopment analysis (DEA) model that decomposes super-efficiency in the portion attributable to the tourist destination and the portion attributable to hotel management. Then, managerial efficiency is regressed against hotel characteristics, while tourist destination efficiency is explained by the characteristic of each location. The findings highlight the importance of tourist destinations, providing novel empirical support for the propositions of the main location models. Indeed, the tourist destination is the main cause of differences in the level of efficiency among hotels. The occupancy level, degree of seasonality and market concentration are the variables with the greater impact on efficiency.ElsevierUniversidade de Santiago de Compostela. Departamento de Economía Financeira e Contabilidade20192019-01-0120192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10347/39360reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2© 2018 Elsevier B.V. All rights reservedhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/393602026-06-15T12:47:27Z |
| dc.title.none.fl_str_mv |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| title |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| spellingShingle |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach Lado Sestayo, Rubén Data envelopment analysis Efficiency Location Tourist destination Hotel 5311 Organización y dirección de empresas |
| title_short |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| title_full |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| title_fullStr |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| title_full_unstemmed |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| title_sort |
The impact of tourist destination on hotel efficiency : a data envelopment analysis approach |
| dc.creator.none.fl_str_mv |
Lado Sestayo, Rubén Fernández Castro, Ángel Santiago |
| author |
Lado Sestayo, Rubén |
| author_facet |
Lado Sestayo, Rubén Fernández Castro, Ángel Santiago |
| author_role |
author |
| author2 |
Fernández Castro, Ángel Santiago |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Universidade de Santiago de Compostela. Departamento de Economía Financeira e Contabilidade |
| dc.subject.none.fl_str_mv |
Data envelopment analysis Efficiency Location Tourist destination Hotel 5311 Organización y dirección de empresas |
| topic |
Data envelopment analysis Efficiency Location Tourist destination Hotel 5311 Organización y dirección de empresas |
| description |
This paper evaluates the impact of location on hotel efficiency using a sample of 400 Spanish hotels, the novel aspect being that location is considered at the tourist destination level. Moreover, for the first time, the location variables are based on the main theoretical models concerning location in the hotel sector, namely geographical positioning models, agglomeration and urbanization economic models and competitive environment models. The methodology consists of a four-stage data envelopment analysis (DEA) model that decomposes super-efficiency in the portion attributable to the tourist destination and the portion attributable to hotel management. Then, managerial efficiency is regressed against hotel characteristics, while tourist destination efficiency is explained by the characteristic of each location. The findings highlight the importance of tourist destinations, providing novel empirical support for the propositions of the main location models. Indeed, the tourist destination is the main cause of differences in the level of efficiency among hotels. The occupancy level, degree of seasonality and market concentration are the variables with the greater impact on efficiency. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2019-01-01 2019 2019-01-01 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10347/39360 |
| url |
https://hdl.handle.net/10347/39360 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 © 2018 Elsevier B.V. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 © 2018 Elsevier B.V. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela instname:Universidad de Santiago de Compostela (USC) |
| instname_str |
Universidad de Santiago de Compostela (USC) |
| reponame_str |
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| collection |
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869418360905662464 |
| score |
15,811543 |