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Assessing the Impacts of the High-Speed Train on Tourism Demand in China

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  • York Qi Yan

    (School of Humanities, Nanjing Forestry University, 159 Longpan Road, Xuanwu, Nanjing, Jiangsu, China)

  • Hanqin Qiu Zhang

    (School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Kowloon, Hong Kong)

  • Ben Haobin Ye

    (School of Management, Sun Yat-sun University, Guangzhou, China)

Abstract

The high-speed railway has been an appropriate embodiment both of China's phenomenal rise and of its inherent economic and social dilemmas, which are assuming growing regional and international relevance. This study develops an econometric model to investigate the impacts of the Wuhan–Guangzhou high-speed railway on domestic tourism receipts in three Chinese provinces. The auto regressive and moving average (ARMA) model is integrated into a time series approximation and analysis. The results indicate that, while the provinces of Guangdong and Hunan have benefited from the high-speed railway, it has limited influence on Hubei province. The theoretical contributions and practical implications of the study are also elaborated.

Suggested Citation

  • York Qi Yan & Hanqin Qiu Zhang & Ben Haobin Ye, 2014. "Assessing the Impacts of the High-Speed Train on Tourism Demand in China," Tourism Economics, , vol. 20(1), pages 157-169, February.
    • Handle: RePEc:sae:toueco:v:20:y:2014:i:1:p:157-169
    DOI: 10.5367/te.2013.0260
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    References listed on IDEAS

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    3. M. Thea Sinclair, 1997. "Tourism and Economic Development: A Survey," Studies in Economics 9703, School of Economics, University of Kent.
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    Cited by:

    1. Fengjun Tian & Yang Yang & Lan Jiang, 2022. "Spatial spillover of transport improvement on tourism growth," Tourism Economics, , vol. 28(5), pages 1416-1432, August.
    2. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    3. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    4. Juan Luis Campa & Francesca Pagliara & María Eugenia López-Lambas & Rosa Arce & Begoña Guirao, 2019. "Impact of High-Speed Rail on Cultural Tourism Development: The Experience of the Spanish Museums and Monuments," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    5. Zhou Bo & Li Ningqiao, 2018. "The impact of high-speed trains on regional tourism economies," Tourism Economics, , vol. 24(2), pages 187-203, March.
    6. Yin, Ping & Lin, Zhibin & Prideaux, Bruce, 2019. "The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin," Journal of Transport Geography, Elsevier, vol. 80(C).
    7. Boto-García, David & Pérez, Levi, 2023. "The effect of high-speed rail connectivity and accessibility on tourism seasonality," Journal of Transport Geography, Elsevier, vol. 107(C).
    8. Wang, Shaobo & Zhou, Yutao & Guo, Jianke & Mao, Jinhuang, 2023. "Did high speed rail accelerate the development of tourism economy? – Empirical analysis from Northeast China," Transport Policy, Elsevier, vol. 143(C), pages 25-35.
    9. Debroy, Arindam & Dadsena, Krishna Kumar & Bhattacharjee, Pushparenu & Verma, Anuj & Verma, Meenakshi, 2024. "Evaluating the inhibitors in the growth of high-speed railway in India: A multi-stakeholder perspective," Transport Policy, Elsevier, vol. 155(C), pages 93-109.

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