Modeling and Forecasting Inbound Tourism Demand for Long-Haul Markets of Beijing

dc.contributor.authorTukamushaba, Eddy K.
dc.contributor.authorShanshan Lin, Vera
dc.contributor.authorBwire, Thomas
dc.date.accessioned2022-12-09T09:22:15Z
dc.date.available2022-12-09T09:22:15Z
dc.date.issued2013
dc.description.abstractThis paper aims to identify themost influencing factors ofBeijing’s inbound tourismdemand using the autoregressive distributed lag model (ADLM) and then generates forecasts of international tourist arrivals from the United States, the United Kingdom, and Canada for the period of 2010Q3–2015Q4. The general-to-specific modeling approach was adopted to achieve final models while the exponential smoothing method was used to produce forecasts for independent variables.Results show that factors such as “word of mouth” effect, income level of the origin source markets, the costs of tourism in Beijing, and the cost of tourism in the competing destinations are crucial determinants of the tourism flows from three longhaul international markets. A group of error measures, such as the mean absolute percentage error (MAPE), root mean square percentage error (RMSPE), mean absolute error (MAE), root mean square error (RMSE), and Theil’s U statistic, were used to evaluate the forecasting accuracy. The results suggest that all three models have good forecasting abilities with theMAPEsranging from 5.73%to 14.89%. Implications are discussed and recommendations as well as future research directions are provided.en_US
dc.identifier.citationTo cite this article: Eddy K. Tukamushaba , Vera Shanshan Lin & Thomas Bwire (2013) Modeling and Forecasting Inbound Tourism Demand for Long-Haul Markets of Beijing, Journal of China Tourism Research, 9:4, 489-506, DOI: 10.1080/19388160.2013.841505en_US
dc.identifier.otherDOI: 10.1080/19388160.2013.841505
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/6079
dc.language.isoenen_US
dc.publisherJournal of China Tourism Researchen_US
dc.subjectInbound tourism demanden_US
dc.subjectlong-haulen_US
dc.subjectADLMen_US
dc.subjectforecastingen_US
dc.titleModeling and Forecasting Inbound Tourism Demand for Long-Haul Markets of Beijingen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Modeling and Forecasting.pdf
Size:
344.47 KB
Format:
Adobe Portable Document Format
Description:
Article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections