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Modeling and forecasting tourism demand: the case of flows from Mainland China to Taiwan

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  • Luiz Moutinho
  • K.-H. Huarng
  • Tiffany Yu
  • C.-Y. Chen

Abstract

The study of tourism demand is attracting more and more attention. Hence, it is important to understand the variables that affect tourism demand and to forecast the demand. Many studies have been conducted to analyze the demands in various countries. Recently, China has been expected to become one of the largest originators of outbound tourists in the world. Hence, it is interesting to explore what the variables are that affect the Mainland Chinese arrivals to Taiwan and to forecast its corresponding tourism demand. This study applies neural networks to select proper models, and then to forecast the demand. Copyright Springer-Verlag 2008

Suggested Citation

  • Luiz Moutinho & K.-H. Huarng & Tiffany Yu & C.-Y. Chen, 2008. "Modeling and forecasting tourism demand: the case of flows from Mainland China to Taiwan," Service Business, Springer;Pan-Pacific Business Association, vol. 2(3), pages 219-232, September.
    • Handle: RePEc:spr:svcbiz:v:2:y:2008:i:3:p:219-232
    DOI: 10.1007/s11628-008-0037-3
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    References listed on IDEAS

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    Cited by:

    1. Keating, Byron W. & Kriz, Anton, 2008. "Outbound tourism from China: literature review and research agenda," MPRA Paper 40509, University Library of Munich, Germany.
    2. Chih-Yuan Lin & Mateus Lee, 2020. "Taiwan’s opening policy to Chinese tourists and cross-strait relations: The impacts on inbound tourism into Taiwan," Tourism Economics, , vol. 26(1), pages 27-44, February.
    3. Hwa-Kyung Kim & Timothy J. Lee, 2018. "Brand Equity of a Tourist Destination," Sustainability, MDPI, vol. 10(2), pages 1-21, February.
    4. Kun-Huang Huarng & Tiffany Hui-Kuang Yu & Francesc Solé Parellada, 2010. "An innovative regime switching model to forecast Taiwan tourism demand," The Service Industries Journal, Taylor & Francis Journals, vol. 31(10), pages 1603-1612, March.
    5. Phillips, Paul & Zigan, Krystin & Santos Silva, Maria Manuela & Schegg, Roland, 2015. "The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis," Tourism Management, Elsevier, vol. 50(C), pages 130-141.

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