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An Event Study of Chinese Tourists to Taiwan

Author

Listed:
  • Chia-Lin Chang

    (National Chung Hsing University, Taiwan)

  • Shu-Han Hsu

    (National Chung Hsing University, Taiwan)

  • Michael McAleer

    (Asia University, Taiwan)

Abstract

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.

Suggested Citation

  • Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-003/III, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20180003
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    References listed on IDEAS

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    2. Nicolau, Juan Luis & Sharma, Abhinav, 2022. "A review of research into drivers of firm value through event studies in tourism and hospitality: Launching the Annals of Tourism Research curated collection on drivers of firm value through event stu," Annals of Tourism Research, Elsevier, vol. 95(C).

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    More about this item

    Keywords

    Event study; Abnormal rate of change; Chinese tourists; OLS; GARCH; GJR; EGARCH; Tourism finance.;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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