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The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China

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  • Bo Zhou

    (12466Xiamen University, China)

  • Zhihong Wen

    (12466Xiamen University, China)

  • Ian Sutherland

    (35006Sejong University, South Korea)

  • Seul Ki Lee

    (35006Sejong University, South Korea)

Abstract

The existing literature has not fully explored the spatial heterogeneity and dynamics of spillover effects of tourism-flow patterns, and this article makes contributions to addressing this issue. Using spatial autoregressive models and comparing the results for the non-high-speed train (HST) era (2002–2006) and those for the HST era (2011–2015) of China, this article finds that in the HST era, the spillover effect of tourism flows from neighboring regions has changed from positive to negative. Moreover, in the HST era, the cities with HST services have significantly positive effects on for a particular city, while those cities without HST have negative effects. These results reveal the spatial heterogeneity and dynamics of the tourism-flow spillover. After evaluating the variation of other factors which potentially contribute to the change of spillover patterns, this study identifies that the HST service plays an important role in such changes. Finally, this article uses geographically weighted regressions to explore the spatial heterogeneity in an elaborative way.

Suggested Citation

  • Bo Zhou & Zhihong Wen & Ian Sutherland & Seul Ki Lee, 2022. "The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China," Tourism Economics, , vol. 28(2), pages 300-324, March.
    • Handle: RePEc:sae:toueco:v:28:y:2022:i:2:p:300-324
    DOI: 10.1177/1354816620958309
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    Cited by:

    1. Li, Guangqin & Pu, Kangyun & Long, Minghui, 2023. "High-speed rail connectivity, space-time distance compression, and trans-regional tourism flows: Evidence from China's inbound tourism," Journal of Transport Geography, Elsevier, vol. 109(C).
    2. Fubiao Zhu & Xiaona Cao & Delin Zhuang & Shengwu Jin & Xueting Yang, 2024. "Effects of tourism on socio‐economic well‐being and its inter‐regional convergence: Evidence from China's 291 cities," Growth and Change, Wiley Blackwell, vol. 55(3), September.
    3. Yuanhe Yu & Junwei Li & Zijun Li, 2025. "The impact of an urban tourism boom on farmers' income in neighboring rural communities: Evidence from the Lijiang Ancient City, China," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(2), pages 1714-1728, April.
    4. 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).
    5. Sainaghi, Ruggero & Chica-Olmo, Jorge, 2022. "The effects of location before and during COVID-19," Annals of Tourism Research, Elsevier, vol. 96(C).
    6. Pan, Mengqiang & Liao, Zhixue & Wang, Zhouyiying & Ren, Chi & Xing, Zhibin & Li, Wenyong, 2025. "Tourism forecasting: A dynamic spatiotemporal model," Annals of Tourism Research, Elsevier, vol. 110(C).

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