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The role of income and the substitution pattern between domestic and international tourism demand

[journal article]

Eugenio-Martin, Juan Luis
Campos-Soria, Juan Antonio

Abstract

This paper analyses the role of income in the decision of participating in the tourism demand within one year. The tourists who are participating, can travel to domestic destinations only, abroad destinations only, or to both of them. Such substitution pattern is modelled using a bivariate probit mo... view more

This paper analyses the role of income in the decision of participating in the tourism demand within one year. The tourists who are participating, can travel to domestic destinations only, abroad destinations only, or to both of them. Such substitution pattern is modelled using a bivariate probit model. The analysis is carried out to the regional level using a survey conducted in 15 European countries. In addition to the traditional socioeconomic variables, the analysis adds new variables to the outbound tourism demand modelling, such as the attributes of the place of residence. The results show that tourism demand is income elastic. However, there are marked differences in the income elasticities of the probabilities of travelling domestically or abroad. Above certain income threshold, the substitution pattern between destinations takes part. The probability of travelling domestically only remains constant, whereas the probability of travelling abroad keeps growing. Additionally, the paper proves that income elasticities vary significantly and non-linearly with income.... view less

Classification
Economic Statistics, Econometrics, Business Informatics
Leisure Research

Free Keywords
income elasticities; tourism demand; bivariate probit; domestic tourism; international tourism

Document language
English

Publication Year
2010

Page/Pages
40 p.

Journal
Applied Economics (2010)

DOI
https://doi.org/10.1080/00036840903299698

Status
Postprint; peer reviewed

Licence
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.