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Examination of Taiwan's travel and tourism market cycle through a two-period Markov regime-switching model

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  • Hsu, Pao-Peng

Abstract

This study analyzes the Taiwan travel and tourism (T&T) market cycle. According to data of the weighted Taiwan tourism stock index from January 1997 to August 2015, the two-period Markov regime-switching model identifies two distinct regimes of the T&T cycle and incorporates a specific set of mean and variance parameters for each period to control for the structural changes in Taiwan's T&T market. The effect of China visitor arrivals to Taiwan on the T&T market is also verified. The empirical findings offer essential information and policy implications for Taiwan's government tourism policymakers and business managers.

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  • Hsu, Pao-Peng, 2017. "Examination of Taiwan's travel and tourism market cycle through a two-period Markov regime-switching model," Tourism Management, Elsevier, vol. 63(C), pages 201-208.
    • Handle: RePEc:eee:touman:v:63:y:2017:i:c:p:201-208
    DOI: 10.1016/j.tourman.2017.06.011
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    1. Gu, Xinhua & Wu, Jie & Guo, Haizhen & Li, Guoqiang, 2018. "Local tourism cycle and external business cycle," Annals of Tourism Research, Elsevier, vol. 73(C), pages 159-170.
    2. Liu, Yue & Sun, Huaping & Zhang, Jijian & Taghizadeh-Hesary, Farhad, 2020. "Detection of volatility regime-switching for crude oil price modeling and forecasting," Resources Policy, Elsevier, vol. 69(C).
    3. Xiang Lin & Martin Thomas Falk, 2022. "Nordic stock market performance of the travel and leisure industry during the first wave of Covid-19 pandemic," Tourism Economics, , vol. 28(5), pages 1240-1257, August.
    4. Woraphon Yamaka & Xuefeng Zhang & Paravee Maneejuk, 2021. "Analyzing the Influence of Transportations on Chinese Inbound Tourism: Markov Switching Penalized Regression Approaches," Mathematics, MDPI, vol. 9(5), pages 1-23, March.

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