Determinants of The Expenditure of Tourist Demand in Coastal Destinations

Autores
Tanana, Ariadna Belén; Caruso, Maria Joselina; Rodriguez, Cecilia Alejandra
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this work is to analyze the determinants of tourist expenditure in Monte Hermoso, a destination located in the southwest of the province of Buenos Aires, Argentina. Tourist surveys were administered during the austral summer (January-February) and considered as primary information. Socioeconomic and trip-related variables were selected to explain the determinants of the average total expenditure of tourists in this destination. The Ordinary Least Squares (OLS) method was applied. From the results obtained, it was determined that the level of income, origin, group size, and type of accommodation are the regressors that best demonstrate the spending behavior of the destination's domestic demand. Therefore, it is possible to identify the most attractive demand segments that contribute to improving competitiveness and increasing the rate of return of the destination.
Fil: Tanana, Ariadna Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Caruso, Maria Joselina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Rodriguez, Cecilia Alejandra. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Materia
TOURIST EXPENDITURE
SUN AND SAND DESTINATIONS
LINEAR REGRESSION MODEL
MONTE HERMOSO
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/158580
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Determinants of The Expenditure of Tourist Demand in Coastal DestinationsTanana, Ariadna BelénCaruso, Maria JoselinaRodriguez, Cecilia AlejandraTOURIST EXPENDITURESUN AND SAND DESTINATIONSLINEAR REGRESSION MODELMONTE HERMOSOhttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5The aim of this work is to analyze the determinants of tourist expenditure in Monte Hermoso, a destination located in the southwest of the province of Buenos Aires, Argentina. Tourist surveys were administered during the austral summer (January-February) and considered as primary information. Socioeconomic and trip-related variables were selected to explain the determinants of the average total expenditure of tourists in this destination. The Ordinary Least Squares (OLS) method was applied. From the results obtained, it was determined that the level of income, origin, group size, and type of accommodation are the regressors that best demonstrate the spending behavior of the destination's domestic demand. Therefore, it is possible to identify the most attractive demand segments that contribute to improving competitiveness and increasing the rate of return of the destination.Fil: Tanana, Ariadna Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaFil: Caruso, Maria Joselina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaFil: Rodriguez, Cecilia Alejandra. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaAkdeniz University. Tourism Faculty2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158580Tanana, Ariadna Belén; Caruso, Maria Joselina; Rodriguez, Cecilia Alejandra; Determinants of The Expenditure of Tourist Demand in Coastal Destinations; Akdeniz University. Tourism Faculty; Advances in Hospitality and Tourism Research ; 2022; 2022; 1-262147-91002148-7316CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dergipark.org.tr/en/doi/10.30519/ahtr.940152info:eu-repo/semantics/altIdentifier/doi/10.30519/ahtr.940152info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:21:25Zoai:ri.conicet.gov.ar:11336/158580instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:21:25.749CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Determinants of The Expenditure of Tourist Demand in Coastal Destinations
title Determinants of The Expenditure of Tourist Demand in Coastal Destinations
spellingShingle Determinants of The Expenditure of Tourist Demand in Coastal Destinations
Tanana, Ariadna Belén
TOURIST EXPENDITURE
SUN AND SAND DESTINATIONS
LINEAR REGRESSION MODEL
MONTE HERMOSO
title_short Determinants of The Expenditure of Tourist Demand in Coastal Destinations
title_full Determinants of The Expenditure of Tourist Demand in Coastal Destinations
title_fullStr Determinants of The Expenditure of Tourist Demand in Coastal Destinations
title_full_unstemmed Determinants of The Expenditure of Tourist Demand in Coastal Destinations
title_sort Determinants of The Expenditure of Tourist Demand in Coastal Destinations
dc.creator.none.fl_str_mv Tanana, Ariadna Belén
Caruso, Maria Joselina
Rodriguez, Cecilia Alejandra
author Tanana, Ariadna Belén
author_facet Tanana, Ariadna Belén
Caruso, Maria Joselina
Rodriguez, Cecilia Alejandra
author_role author
author2 Caruso, Maria Joselina
Rodriguez, Cecilia Alejandra
author2_role author
author
dc.subject.none.fl_str_mv TOURIST EXPENDITURE
SUN AND SAND DESTINATIONS
LINEAR REGRESSION MODEL
MONTE HERMOSO
topic TOURIST EXPENDITURE
SUN AND SAND DESTINATIONS
LINEAR REGRESSION MODEL
MONTE HERMOSO
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.9
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The aim of this work is to analyze the determinants of tourist expenditure in Monte Hermoso, a destination located in the southwest of the province of Buenos Aires, Argentina. Tourist surveys were administered during the austral summer (January-February) and considered as primary information. Socioeconomic and trip-related variables were selected to explain the determinants of the average total expenditure of tourists in this destination. The Ordinary Least Squares (OLS) method was applied. From the results obtained, it was determined that the level of income, origin, group size, and type of accommodation are the regressors that best demonstrate the spending behavior of the destination's domestic demand. Therefore, it is possible to identify the most attractive demand segments that contribute to improving competitiveness and increasing the rate of return of the destination.
Fil: Tanana, Ariadna Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Caruso, Maria Joselina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
Fil: Rodriguez, Cecilia Alejandra. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina
description The aim of this work is to analyze the determinants of tourist expenditure in Monte Hermoso, a destination located in the southwest of the province of Buenos Aires, Argentina. Tourist surveys were administered during the austral summer (January-February) and considered as primary information. Socioeconomic and trip-related variables were selected to explain the determinants of the average total expenditure of tourists in this destination. The Ordinary Least Squares (OLS) method was applied. From the results obtained, it was determined that the level of income, origin, group size, and type of accommodation are the regressors that best demonstrate the spending behavior of the destination's domestic demand. Therefore, it is possible to identify the most attractive demand segments that contribute to improving competitiveness and increasing the rate of return of the destination.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/158580
Tanana, Ariadna Belén; Caruso, Maria Joselina; Rodriguez, Cecilia Alejandra; Determinants of The Expenditure of Tourist Demand in Coastal Destinations; Akdeniz University. Tourism Faculty; Advances in Hospitality and Tourism Research ; 2022; 2022; 1-26
2147-9100
2148-7316
CONICET Digital
CONICET
url http://hdl.handle.net/11336/158580
identifier_str_mv Tanana, Ariadna Belén; Caruso, Maria Joselina; Rodriguez, Cecilia Alejandra; Determinants of The Expenditure of Tourist Demand in Coastal Destinations; Akdeniz University. Tourism Faculty; Advances in Hospitality and Tourism Research ; 2022; 2022; 1-26
2147-9100
2148-7316
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://dergipark.org.tr/en/doi/10.30519/ahtr.940152
info:eu-repo/semantics/altIdentifier/doi/10.30519/ahtr.940152
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Akdeniz University. Tourism Faculty
publisher.none.fl_str_mv Akdeniz University. Tourism Faculty
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1843606560371113984
score 13.000565

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