An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan

被引:7
|
作者
Chang, Chia-Lin [1 ,2 ,3 ]
Hsu, Shu-Han [1 ]
McAleer, Michael [3 ,4 ,5 ,6 ,7 ,8 ]
机构
[1] Natl Chung Hsing Univ, Dept Appl Econ, Taichung 402, Taiwan
[2] Natl Chung Hsing Univ, Dept Finance, Taichung 402, Taiwan
[3] Asia Univ, Dept Finance, Taichung 41354, Taiwan
[4] Univ Sydney, Discipline Business Analyt, Sch Business, Sydney, NSW 2006, Australia
[5] Erasmus Univ, Inst Econometr, Erasmus Sch Econ, NL-3000 Rotterdam, Netherlands
[6] Univ Complutense Madrid, Dept Econ Anal, Madrid 28040, Spain
[7] Univ Complutense Madrid, ICAE, Madrid 28040, Spain
[8] Yokohama Natl Univ, Inst Adv Sci, Yokohama, Kanagawa 2408501, Japan
基金
澳大利亚研究理事会;
关键词
event study; abnormal rate of change; Chinese tourists; OLS; GARCH; GJR; EGARCH; tourism finance; G14; C22; C52; C58; STOCK; METHODOLOGY; VOLATILITY; RETURNS; IMPACT;
D O I
10.3390/su10114307
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. 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 the 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, the Generalized Autoregressive Conditional Heteroscedasticity, GARCH (1,1), Glosten, Jagannathan and Runkle, GJR (1,1) and Exponential GARCH, 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 the types of tourists that are most likely to be affected by such major events.
引用
收藏
页数:77
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