Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23368
Title: Modelling and forecasting the demand for Hong Kong tourism
Authors: Song, H 
Wong, KKF
Chon, KKS 
Keywords: Econometric models
Forecasts
Price elasticity
Tourism demand
Issue Date: 2003
Publisher: Pergamon Press
Source: International journal of hospitality management, 2003, v. 22, no. 4, p. 435-451 How to cite?
Journal: International journal of hospitality management 
Abstract: The main objectives of this paper are to identify the factors which contribute to the demand for Hong Kong tourism with the aid of econometric models and to generate forecasts of international tourism arrivals to Hong Kong for the period 2001-2008. The general-to-specific modelling approach is followed to model and forecast the demand for Hong Kong tourism by residents from the 16 major origin countries/regions and the empirical results reveal that the most important factors that determine the demand for Hong Kong tourism are the costs of tourism in Hong Kong, the economic condition (measured by the income level) in the origin countries/regions, the costs of tourism in the competing destinations and the 'word of mouth' effect. The demand elasticities and forecasts of tourism arrivals obtained from the demand models form the basis of policy formulations for the tourism industry in Hong Kong.
URI: http://hdl.handle.net/10397/23368
ISSN: 0278-4319
EISSN: 1873-4693
DOI: 10.1016/S0278-4319(03)00047-1
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

100
Last Week
0
Last month
1
Citations as of Sep 8, 2017

Page view(s)

69
Last Week
4
Last month
Checked on Sep 17, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.