IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v20y2014i3p655-664.html
   My bibliography  Save this article

Research Note: A Study of the Business Cycle of the Hotel Industry in Taiwan

Author

Listed:
  • Ming-Hsiang Chen

    (Department of Finance, National Chung Cheng University, Chia-Yi, Taiwan, ROC)

  • Kun Lun Wu

    (Department of Hotel and Restaurant Management, Chia Nan University of Pharmacy and Science, No 60, Sec 1 Erren Road, Rende District, Tainan City 71710, Taiwan, ROC)

  • Hung-Jen Su

    (Department of Business Administration, National Chung Cheng University, Chia-Yi, Taiwan ROC)

Abstract

This paper exploits a Markov regime-switching model to study the business cycle of the hotel industry (BCHI) in Taiwan from January 1999 to September 2011. The aggregate hotel room sales earnings are used to examine the business cycle of the Taiwanese hotel industry. The Markov regime-switching model detects two distinct regimes of the BCHI: a high-growth regime (HGR) and a low-growth regime (LGR). The average growth rate of HGR (LGR) is 4.12% (0.35%). The corresponding standard deviation in the two regimes is 5.60% and 0.30%, implying that LGR is more stable than HGR. The probability of the hotel industry staying in LGR (HGR) is 97% (66%) and the expected duration of HGR (LGR) is about 3 (39) months. Moreover, this study shows that the tourism market growth is significant in causing the hotel industry to stay in the HGR. The empirical findings provide useful information and policy implications for government tourism policymakers and tourist hotel managers.

Suggested Citation

  • Ming-Hsiang Chen & Kun Lun Wu & Hung-Jen Su, 2014. "Research Note: A Study of the Business Cycle of the Hotel Industry in Taiwan," Tourism Economics, , vol. 20(3), pages 655-664, June.
    • Handle: RePEc:sae:toueco:v:20:y:2014:i:3:p:655-664
    DOI: 10.5367/te.2013.0287
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/te.2013.0287
    Download Restriction: no
    File URL: https://libkey.io/10.5367/te.2013.0287?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tomás F. Espino-Rodríguez & Pei Chun Lai & Tom Baum, 2012. "Risks and Benefits of Outsourcing Hotel Operations: A Comparison between Scotland and Taiwan," Tourism Economics, , vol. 18(1), pages 95-120, February.
    2. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    3. Chia-Yu Yeh & Chiang-Ming Chen & Jin-Li Hu, 2012. "Business Diversification in the Hotel Industry: A Comparative Advantage Analysis," Tourism Economics, , vol. 18(5), pages 941-952, October.
    4. Chen, Ming-Hsiang, 2010. "The economy, tourism growth and corporate performance in the Taiwanese hotel industry," Tourism Management, Elsevier, vol. 31(5), pages 665-675.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Ming-Hsiang, 2013. "Determinants of the Taiwanese tourist hotel industry cycle," Tourism Management, Elsevier, vol. 38(C), pages 15-19.
    2. 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.
    3. Milan Kumar Das & Anindya Goswami, 2019. "Testing of binary regime switching models using squeeze duration analysis," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-20, March.
    4. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    5. David Andolfatto & Paul Gomme, 2003. "Monetary Policy Regimes and Beliefs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(1), pages 1-30, February.
    6. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    7. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    8. Nemati, Mehdi & Saghaian, Sayed H., 2016. "Dynamics of Price Adjustment in Qualitatively Differentiated Markets in the U.S.: The Case of Organic and Conventional Apples," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229950, Southern Agricultural Economics Association.
    9. Flavin, Thomas J. & Panopoulou, Ekaterini & Unalmis, Deren, 2008. "On the stability of domestic financial market linkages in the presence of time-varying volatility," Emerging Markets Review, Elsevier, vol. 9(4), pages 280-301, December.
    10. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    11. David Bolder & Shudan Liu, 2007. "Examining Simple Joint Macroeconomic and Term-Structure Models: A Practitioner's Perspective," Staff Working Papers 07-49, Bank of Canada.
    12. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    13. Francesco Bianchi, 2013. "Regime Switches, Agents' Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(2), pages 463-490.
    14. Saki Bigio & Eduardo Zilberman, 2020. "Speculation-Driven Business Cycles," Working Papers Central Bank of Chile 865, Central Bank of Chile.
    15. René Garcia & Richard Luger & Eric Renault, 2000. "Asymmetric Smiles, Leverage Effects and Structural Parameters," Working Papers 2000-57, Center for Research in Economics and Statistics.
    16. Muñoz, Mª Pilar & Márquez, María Dolores & Sánchez, Josep A., 2011. "Contagion between United States and european markets during the recent crises," MPRA Paper 35993, University Library of Munich, Germany.
    17. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-788, August.
    18. Ning, Ye & Zhang, Lingxiang, 2018. "Modeling dynamics of short-term international capital flows in China: A Markov regime switching approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 193-203.
    19. Alain Monfort & Olivier Féron, 2012. "Joint econometric modeling of spot electricity prices, forwards and options," Review of Derivatives Research, Springer, vol. 15(3), pages 217-256, October.
    20. Chao, Hui-Ping, 1998. "Regime Switching In Us Livestock Cycles," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20824, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:20:y:2014:i:3:p:655-664. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.