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Modelling the interdependence of tourism demand: The global vector autoregressive approach

Cao, Zheng, Li, Gang and Song, Haiyan (2017) Modelling the interdependence of tourism demand: The global vector autoregressive approach Annals of Tourism Research, 67. pp. 1-13.

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This study develops a global vector autoregressive (global VAR or GVAR) model to quantify the cross-country co-movements of tourism demand and simulate the impulse responses of shocks to the Chinese economy. The GVAR model overcomes the endogeneity and over-parameterisation issues found in many tourism demand models. The results show the size of co-movements in tourism demand across 24 major countries in different regions. In the event of negative shocks to China’s real income and China’s tourism price variable, almost all of these countries would face fluctuations in their international tourism demand and in their tourism prices in the short run. In the long run, developing countries and China’s neighbouring countries would tend to be more negatively affected than developed countries.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > School of Hospitality and Tourism Management
Authors :
Song, Haiyan
Date : 4 August 2017
DOI : 10.1016/j.annals.2017.07.019
Copyright Disclaimer : © 2017 Elsevier Ltd. All rights reserved.
Uncontrolled Keywords : Tourism demand; Co-movement; Economic interdependence; Global VAR; Impulse response
Depositing User : Clive Harris
Date Deposited : 31 Aug 2017 12:46
Last Modified : 16 Oct 2019 10:31

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