A dynamic analysis of repeat visitors

Detalhes bibliográficos
Autor(a) principal: Moniz, Ana Isabel Arruda
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/4953
Resumo: This paper introduces the Dynamic Probit model to analyse the underlying reasons behind repeat visits to the Azores Islands. The advantage of the model is that it allows investigating for lags in the covariates as well as for endogeneity in the covariates enabling a more accurate view of the repeat visits phenomenon in a specific tourism island destination. From the model estimation it is clear that the number of visits to the Azores Islands is a time effect that should be analyzed only with dynamic models permitting to identify persistent variables that attract the repeat tourists. The repeat tourist is supported by multiple variables such as overall satisfaction with the destination and specific satisfaction with destination attributes. However, the most important covariates are the destination attributes that are the persistent attractors of the repeat visitor. Related policy implications are derived.
id RCAP_84d667b4f3a4aa30cb1e971df65796e9
oai_identifier_str oai:repositorio.uac.pt:10400.3/4953
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A dynamic analysis of repeat visitorsDestination ManagementDynamic Probit ModelTourist SatisfactionThis paper introduces the Dynamic Probit model to analyse the underlying reasons behind repeat visits to the Azores Islands. The advantage of the model is that it allows investigating for lags in the covariates as well as for endogeneity in the covariates enabling a more accurate view of the repeat visits phenomenon in a specific tourism island destination. From the model estimation it is clear that the number of visits to the Azores Islands is a time effect that should be analyzed only with dynamic models permitting to identify persistent variables that attract the repeat tourists. The repeat tourist is supported by multiple variables such as overall satisfaction with the destination and specific satisfaction with destination attributes. However, the most important covariates are the destination attributes that are the persistent attractors of the repeat visitor. Related policy implications are derived.Universidade dos AçoresRepositório da Universidade dos AçoresMoniz, Ana Isabel Arruda2019-01-23T17:20:51Z2011-122011-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/4953engMoniz, Ana Isabel (2011). A dynamic analysis of repeat visitors, “Working Paper Series” nº 29/11, 28 pp.. Ponta Delgada: Universidade dos Açores, CEEAplA-A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:33:13Zoai:repositorio.uac.pt:10400.3/4953Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:27:15.974229Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A dynamic analysis of repeat visitors
title A dynamic analysis of repeat visitors
spellingShingle A dynamic analysis of repeat visitors
Moniz, Ana Isabel Arruda
Destination Management
Dynamic Probit Model
Tourist Satisfaction
title_short A dynamic analysis of repeat visitors
title_full A dynamic analysis of repeat visitors
title_fullStr A dynamic analysis of repeat visitors
title_full_unstemmed A dynamic analysis of repeat visitors
title_sort A dynamic analysis of repeat visitors
author Moniz, Ana Isabel Arruda
author_facet Moniz, Ana Isabel Arruda
author_role author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Moniz, Ana Isabel Arruda
dc.subject.por.fl_str_mv Destination Management
Dynamic Probit Model
Tourist Satisfaction
topic Destination Management
Dynamic Probit Model
Tourist Satisfaction
description This paper introduces the Dynamic Probit model to analyse the underlying reasons behind repeat visits to the Azores Islands. The advantage of the model is that it allows investigating for lags in the covariates as well as for endogeneity in the covariates enabling a more accurate view of the repeat visits phenomenon in a specific tourism island destination. From the model estimation it is clear that the number of visits to the Azores Islands is a time effect that should be analyzed only with dynamic models permitting to identify persistent variables that attract the repeat tourists. The repeat tourist is supported by multiple variables such as overall satisfaction with the destination and specific satisfaction with destination attributes. However, the most important covariates are the destination attributes that are the persistent attractors of the repeat visitor. Related policy implications are derived.
publishDate 2011
dc.date.none.fl_str_mv 2011-12
2011-12-01T00:00:00Z
2019-01-23T17:20:51Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.3/4953
url http://hdl.handle.net/10400.3/4953
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Moniz, Ana Isabel (2011). A dynamic analysis of repeat visitors, “Working Paper Series” nº 29/11, 28 pp.. Ponta Delgada: Universidade dos Açores, CEEAplA-A.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade dos Açores
publisher.none.fl_str_mv Universidade dos Açores
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799130727271366656