Modeling determinants of tourism demand in Colombia

ABSTRACT: Purpose – This paper estimates the determinants of international tourist arrivals to Colombia from 1995 to 2014. Design – Tourist demand is related to interlinking relationships between origins and destinations. The international movement of travelers has grown exponentially in recent deca...

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Autores:
Vanegas López, Juan Gabriel
Valencia Cárdenas, Marisol
Restrepo Morales, Jorge Anibal
Muñetón Santa, Guberney
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/14903
Acceso en línea:
http://hdl.handle.net/10495/14903
Palabra clave:
Demanda turística
Flujos turísticos
Modelo mixto lineal generalizado
Países en dearrollo
tourism demand
developing countries
tourist flows
generalized linear mixed model
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
Description
Summary:ABSTRACT: Purpose – This paper estimates the determinants of international tourist arrivals to Colombia from 1995 to 2014. Design – Tourist demand is related to interlinking relationships between origins and destinations. The international movement of travelers has grown exponentially in recent decades, and these dynamics have affected Colombia as well. Methodology/Approach – We propose a generalized linear mixed model, with a consideration of factors from the theory of consumer choice and those approached from the perspective of new economic geography. Findings – Apart from purchasing power and institutional factors as facilitators of travel, we found that general aspects of the country (such as language and geographical proximity) directly affect the flow of visitors, whereas exchange differences and physical distance reduce tourist attraction. Originality of the research – Estimation of tourist flows will serve as a diagnostic and planning tool for developing proposals of tourism attractiveness related to different environment.