IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v19y2013i1p77-99.html
   My bibliography  Save this article

Risk Determinants of China's Hotel Industry

Author

Listed:
  • Ming-Hsiang Chen

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

Abstract

This study examines the risk determinants of China's hotel industry. The risks under consideration are systematic risk (beta), unsystematic risk and total risk. The determinants are debt leverage, size, liquidity, operating efficiency, profitability, growth opportunity and state ownership. Given the distinctive features of its stock markets and its rapidly growing tourism industry, China offers a good case study for this research. Moreover, the rapid expansion of the domestic and international tourism markets in China will create a huge demand for hotels and hospitality services; risk management will consequently be a critical task for hotel executives and investors in China. Thus, a good understanding of risk determinants of the Chinese hotel industry will provide valuable information that will allow both local and foreign hotel business managers and investors to adopt wise investment strategies. Panel regression test results show that debt leverage, size and state ownership are three critical risk determinants of China's hotel industry. Specifically, high debt leverage and state ownership significantly raise all three types of risk for Chinese hotels, whereas large hotels substantially reduce their systematic and total risks.

Suggested Citation

  • Ming-Hsiang Chen, 2013. "Risk Determinants of China's Hotel Industry," Tourism Economics, , vol. 19(1), pages 77-99, February.
  • Handle: RePEc:sae:toueco:v:19:y:2013:i:1:p:77-99
    DOI: 10.5367/te.2013.0183
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/te.2013.0183
    Download Restriction: no

    File URL: https://libkey.io/10.5367/te.2013.0183?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. Philip Hardwick, 1997. "Measuring cost inefficiency in the UK life insurance industry," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 37-44.
    2. John Lintner, 1965. "Security Prices, Risk, And Maximal Gains From Diversification," Journal of Finance, American Finance Association, vol. 20(4), pages 587-615, December.
    3. Bowman, Robert G, 1979. "The Theoretical Relationship between Systematic Risk and Financial (Accounting) Variables," Journal of Finance, American Finance Association, vol. 34(3), pages 617-630, June.
    4. Tang, Gordon Y. N. & Shum, Wai Cheong, 2003. "The relationships between unsystematic risk, skewness and stock returns during up and down markets," International Business Review, Elsevier, vol. 12(5), pages 523-541, October.
    5. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    6. Morck, Randall & Shleifer, Andrei & Vishny, Robert W., 1988. "Management ownership and market valuation," Scholarly Articles 29407535, Harvard University Department of Economics.
    7. Sayan Chatterjee & Michael Lubatkin & William S. Schulze, 1999. "Toward a strategic theory of risk premium : Moving beyond CAPM," Post-Print hal-02276725, HAL.
    8. Woo Gon Kim & Bill Ryan & Silvio Ceschini, 2007. "Factors Affecting Systematic Risk in the US Restaurant Industry," Tourism Economics, , vol. 13(2), pages 197-208, June.
    Full references (including those not matched with items on IDEAS)

    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. Ryo Aruga & Keiichi Goshima & Takashi Chiba, 2022. "CO2 Emissions and Corporate Performance: Japan's Evidence with Double Machine Learning," IMES Discussion Paper Series 22-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
    2. Bisin, Alberto & Acharya, Viral, 2002. "Entrepreneurial Incentives in Stock Market Economies," CEPR Discussion Papers 3474, C.E.P.R. Discussion Papers.
    3. T.G. Saji, 2018. "Predicting Market Betas," Paradigm, , vol. 22(2), pages 160-174, December.
    4. Won Seok Lee & Joonho Moon & Seoki Lee & Deborah Kerstetter, 2015. "Determinants of Systematic Risk in the Online Travel Agency Industry," Tourism Economics, , vol. 21(2), pages 341-355, April.
    5. Ali Matar, 2016. "Does Portfolio’s Beta in Financial Market Affected by Diversification? Evidence from Amman Stock Exchange," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(11), pages 101-101, October.
    6. Badr E. Ismail & Moon K. Kim & Florence R. Kirk, 1994. "Accounting data and the prediction of risk in the extremes," Review of Financial Economics, John Wiley & Sons, vol. 4(1), pages 55-68, September.
    7. Woo Gon Kim & Bill Ryan & Silvio Ceschini, 2007. "Factors Affecting Systematic Risk in the US Restaurant Industry," Tourism Economics, , vol. 13(2), pages 197-208, June.
    8. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.
    9. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    10. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    11. Bradrania, Reza & Veron, Jose Francisco, 2023. "The beta anomaly in the Australian stock market and the lottery demand," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    12. Clive J Stones, "undated". "Risk Sharing, the Cost of Equity and the Optimal Capital Structure of the Regulated Firm," Discussion Papers 05/31, Department of Economics, University of York.
    13. Magdalena Mikolajek-Gocejna, 2021. "Estimation, Instability, and Non-Stationarity of Beta Coefficients for Twenty-four Emerging Markets in 2005-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 370-395.
    14. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
    15. Furman, Edward & Zitikis, Ricardas, 2008. "Weighted risk capital allocations," Insurance: Mathematics and Economics, Elsevier, vol. 43(2), pages 263-269, October.
    16. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    17. Bai, Jushan & Ando, Tomohiro, 2013. "Multifactor asset pricing with a large number of observable risk factors and unobservable common and group-specific factors," MPRA Paper 52785, University Library of Munich, Germany, revised Dec 2013.
    18. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    19. Yu Wang & Haicheng Shu, 2019. "Evaluating the Performance of Factor Pricing Models for Different Stock Market Trends: Evidence from China," Working Papers 2019-10-10, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    20. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.

    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:19:y:2013:i:1:p:77-99. 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.