标题:An econometric study of inbound tourism demand in Hong Kong, Macao and Taiwan: A case study of mainland China
作者:Yang, Bing ;Liu, Jianxu ;Sriboonchitta, Songsak
通讯作者:Liu, Jianxu
作者机构:[Liu, Jianxu ] Faculty of Economics, Shandong University of Finance and Economics, Jinan, China;[Yang, Bing ;Liu, Jianxu ;Sriboonchitta, Songsak ] Pue 更多
会议名称:7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019
会议日期:March 27, 2019 - March 29, 2019
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2019
卷:11471 LNAI
页码:149-160
DOI:10.1007/978-3-030-14815-7_13
摘要:The purpose of this paper is to estimate tourism demand using quarterly time series data (1998Q1–2017Q4) from Mainland China to Hong Kong, Macao, and Taiwan. Demand functions were used in the Autoregressive Distributive Lag (ARDL) model-Seemingly Unrelated Regression (SUR) model to estimate long-term and short-term tourism demand relationships in Hong Kong, Macao, and Taiwan. The results showed that word-of-mouth effect has a long-term relationship with tourism demand in Hong Kong, Macao, and Taiwan. Tourism price has a significant impact on Macao’s tourism demand for long-term relationship. The seasonality is significant and negative effect in the first quarter. We suggest that launch products suitable for the Spring Festival family tour to attract tourists to travel with their families. We also found that the ARDL-SUR model is more robust than traditional ARDL model in this study.
© Springer Nature Switzerland AG 2019.
收录类别:EI
资源类型:会议论文
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