The number of Chinese tourists visiting Taiwan has been closely related to the political relationship across the Taiwan Strait. The occurrence of political events and disasters or accidents have had, and will continue to have, a huge impact on the Taiwan tourism market. To date, there has been relatively little empirical research conducted on this issue.
In this paper, tourists are characterized as being involved in one of three types of tourism: group tourism (group-type), individual tourism (individual-type), and medical cosmetology (medical-type). We use McAleer’s (2015) fundamental equation in tourism finance to examine the correlation that exists between the rate of change in the number of tourists and the rate of return on tourism.
Second, we use the event study method to observe whether the numbers of tourists have changed abnormally before and after the occurrence of major events on both sides of the Strait. Three different types of conditional variance models, namely, GARCH (1,1), GJR (1,1) and EGARCH (1,1), are used to estimate the abnormal rate of change in the number of tourists. The empirical results concerning the major events affecting the changes in the numbers of tourists from China to Taiwan are economically significant, and confirm which types of tourists are most likely to be affected by such major events.

Additional Metadata
Keywords Event study, Abnormal rate of change, Chinese tourists, OLS, GARCH, GJR, EGARCH, Tourism finance.
JEL Information and Market Efficiency; Event Studies (jel G14), Time-Series Models; Dynamic Quantile Regressions (jel C22), Model Evaluation and Testing (jel C52), Financial Econometrics (jel C58)
Sponsor National Science Council, Ministry of Science and Technology (MOST), Taiwan, the Australian Research Council
Persistent URL hdl.handle.net/1765/104254
Series Tinbergen Institute Discussion Paper Series , Econometric Institute Research Papers
Citation
Chang, C-L, Hsu, S.-H, & McAleer, M.J. (2018). An Event Study of Chinese Tourists to Taiwan. Econometric Institute Research Papers. Retrieved from http://hdl.handle.net/1765/104254