标题:Forecasting Chinese outbound tourist to Singapore, Malaysia and Thailand destinations: A study of state space approach
作者:Jiang, Danhua ;Liu, Jianxu ;Sirisrisakulchai, Jirakom ;Sriboonchitta, Songsak
作者机构:[Jiang, Danhua ;Sirisrisakulchai, Jirakom ;Sriboonchitta, Songsak ] Faculty of Economics, Chiang Mai University, Chiang Mai; 50200, Thailand;[Liu, Jia 更多
会议名称:2nd International Conference on Physics, Mathematics and Statistics, ICPMS 2019
会议日期:22 May 2019 through 24 May 2019
来源:Journal of Physics: Conference Series
出版年:2019
卷:1324
期:1
DOI:10.1088/1742-6596/1324/1/012082
摘要:This paper aims to forecast the tourism demand of mainland Chinese residents with regard to visiting Singapore, Malaysia and Thailand (SMT) from 2018 to 2022, and examine the factors that influence outbound tourism demand. The empirical results show that income level, tourism price, and substitute price all have an impact on tourism demand, of which income level and substitution price have a positive impact on tourism arrivals; in contrast, tourism price has a negative effect. Afterward, based on the forecasted performance, the TVP-STSM model in state-space form is better than other benchmark models (Linear Regression model, ARIMA model, BSM model, and CSM model). Finally, this study finds the best model to forecast the number of tourists to SMT in the next 5 years. The results show that the largest increase among the three countries goes to Thailand, followed by Singapore and Malaysia; recommendations are also made on the forecasting of trends. © 2019 IOP Publishing Ltd. All rights reserved.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074942440&doi=10.1088%2f1742-6596%2f1324%2f1%2f012082&partnerID=40&md5=cafe53cdedb05f4d07d5bb868013163e
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