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The Crowding-out Effects of Chinese Tourists on Inbound Tourism in Taiwan

Author

Listed:
  • Chin-Mei Chou

    (PhD Programme in Business, Chung Yuan Christian University, No 200 Chung Pei Road, Chung Li 320, Taoyuan, Taiwan)

  • Shu Fen Hsieh

    (Department of Travel Management, Jinwen University of Science and Technology, No 99 Anzhong Road, Xindian District, New Taipei City 231, Taiwan)

  • Hsi Peng Tseng

    (Department of Leisure Studies and Tourism Management, National Chi Nan University, No 1, University Road, Puli 545, Nantou, Taiwan)

Abstract

This study conducts multiple regression analysis to establish a forecasting model for the number of inbound tourists to Taiwan from different countries. Monte Carlo simulation is used to forecast the number of inbound tourists to Taiwan from different countries and to evaluate whether the opening-up to Chinese tourists has a crowding-out effect on tourism demand. The empirical results indicate that, except for Australia and the UK, the inbound tourists from the sampled countries suffered from varying degrees of crowding-out effect as a result of Taiwan's opening-up to Chinese tourists. This is particularly noticeable with tourists from Korea, Singapore and the USA. In terms of regional effects, Asia is the most affected by the opening-up policy, while Europe and Oceania are less affected. However, the number of inbound tourists from different countries has not dropped, but shows an upward trend.

Suggested Citation

  • Chin-Mei Chou & Shu Fen Hsieh & Hsi Peng Tseng, 2014. "The Crowding-out Effects of Chinese Tourists on Inbound Tourism in Taiwan," Tourism Economics, , vol. 20(6), pages 1235-1251, December.
    • Handle: RePEc:sae:toueco:v:20:y:2014:i:6:p:1235-1251
    DOI: 10.5367/te.2013.0342
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    References listed on IDEAS

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    3. Tanya Arenas & Miguel Ángel Martínez & Xu Honggang & Oswaldo Morales & Mauricio Chávez, 2019. "Integrating VSM and Network Analysis for Tourism Strategies – Case: Mexico and the Chinese Outbound Market," Systemic Practice and Action Research, Springer, vol. 32(3), pages 315-333, June.

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