Modelling and forecasting international tourism demand to China

China has experienced a massive growth in international tourism over the past two decades. To date, there have been few attempts to analyse this massive increase in the demand for international tourism to China. This study, therefore, employs modern econometric techniques to identify the important determinants of tourism demand to China and thus determine the best forecasting models of tourism demand applied to China. This thesis has set three objectives for itself. First, it aims to undertake the first application of modern time-series econometric techniques to modelling international tourism flows to China. Second, it provides the first application of the Vector Autoregression (VAR) approach to modelling the demand for tourism. Third, this thesis compares relative forecasting performance of the two econometric techniques — the time-series approach and the VAR approach, in order to provide 'best possible' forecasts of international tourism flows to China. The thesis models demand from three of China's most important markets for international travelers: Australia, the USA and Japan.

Name dc:type.qualificationname

phd

Level dc:type.qualificationlevel

doctoral

Grantor dc:publisher.institution

Victoria University of Technology

Year dc:date.issued

2002

Author dc:creator

• Huo, Shuyan

• 1403 Econometrics
• School of Economics and Finance
• 1506 Tourism

Language dc:language

en