Forecasting international regional tourist arrivals to China
Zhou-Grundy, Yvonne (2011) Forecasting international regional tourist arrivals to China. PhD thesis, Victoria University.
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This study develops models to forecast international arrivals to regional China, using time series as well as causal explanatory methods. The nine quantitative forecast methods applied in this study are Holt, Exponential Smoothing, Naïve, ARMA, Neural, and Basic Structural Model (BSM) with and without intervention, and the causal explanatory forecast models are the Time-Varying Parameter (TVP) with and without dummy variables. This research has demonstrated a pressing need for advancing and expanding, international tourism forecasting from the current national based approach, to include regional forecasting.
|Item Type:||Thesis (PhD thesis)|
|Uncontrolled Keywords:||international tourists, international tourism, international arrivals, tourist forecasting, tourism forecasting, international tourism forecasting, tourism industry, forecast analysis, forecasting models, China, Chinese, regional|
|Subjects:||Faculty/School/Research Centre/Department > Faculty of Business and Law
FOR Classification > 1506 Tourism
|Depositing User:||VU Library|
|Date Deposited:||09 Jun 2011 02:59|
|Last Modified:||23 May 2013 16:46|
|ePrint Statistics:||View download statistics for this item|
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