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Abstract

International tourism demand, which is typically measured as tourist arrivals, to Australia has experienced dramatic fluctuations in recent years due to changes in the economic, financial and political environment. However, variations in tourism demand, specifically the conditional variance, or...

Author(s)
Chan, F.; Lim, C.; McAleer, M.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2005, 26, 3, pp 459-471
Abstract

As tourism forecasts are obtained based on past observations, an historical analysis of Japan's postwar economic success, social factors, and the national government's institutional policies and reforms can help to provide a better understanding of the growth in Japanese outbound travel and the...

Author(s)
Lim, C.; McAleer, M.
Publisher
Sage Publications, Thousand Oaks, USA
Citation
Journal of Travel Research, 2005, 43, 4, pp 414-421
Abstract

Tourists from Singapore, which is Australia's fifth major market, represented 6% of international tourist arrivals to Australia in 1996. The average annual growth rate of tourist arrivals from Singapore of around 20% over 1990-96 far exceeded the 10.5% average annual percentage growth rate of all ...

Author(s)
Lim, C.; McAleer, M.
Publisher
Hüseyin Yıldırım, Ankara, Turkey
Citation
Anatolia, 2003, 14, 1, pp 23-43
Abstract

The purpose of the paper is to analyse seasonal changes in tourism demand by New Zealand's major tourist source market, Australia, for the period 1979-2005. A time series regression model is used to test the significance of monthly seasonality. By examining sub-periods that are based on major...

Author(s)
Lim, C.; McAleer, M.
Publisher
Centre for Tourism Research & Development, Lucknow, India
Citation
Tourism Recreation Research, 2008, 33, 1, pp 83-91
Abstract

Hong Kong and Singapore are two of the most important and fastest growing markets for tourists to Australia. The purpose of this paper is to investigate movements in the long-run demand for tourist travel by these two origin countries for Australia. Some of the leading macroeconomic variables...

Author(s)
Lim, C.; McAleer, M.
Publisher
Routledge, London, UK
Citation
Applied Economics, 2001, 33, 12, pp 1599-1619
Abstract

This paper analyses stationary and non-stationary international tourism time series data by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting. Various Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models are...

Author(s)
Lim, C.; McAleer, M.
Publisher
Pergamon Press, Oxford, UK
Citation
Tourism Management, 2002, 23, 4, pp 389-396
Abstract

Various exponential smoothing models are estimated over the period 1975-99 to forecast quarterly tourist arrivals to Australia from Hong Kong, Malaysia, and Singapore. The root mean squared error criterion is used as a measure of forecast accuracy. Prior to obtaining the one-quarter-ahead forecasts ...

Author(s)
Lim, C.; McAleer, M.
Publisher
Pergamon Press, Oxford, UK
Citation
Annals of Tourism Research, 2001, 28, 4, pp 965-977