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Spatial spillovers in tourism performance

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  • Tian, Fengjun
  • Wen, Zhihong
  • Yang, Yang

Abstract

•We evaluate the efficiency spillovers of Chinese national scenic and cultural areas.•We estimate a series of spatial stochastic frontier models.•Results indicate significant spatial spillovers in the (in)efficiency term.•Non-spatial stochastic frontier model underestimates this efficiency.

Suggested Citation

  • Tian, Fengjun & Wen, Zhihong & Yang, Yang, 2025. "Spatial spillovers in tourism performance," Annals of Tourism Research, Elsevier, vol. 114(C).
    • Handle: RePEc:eee:anture:v:114:y:2025:i:c:s0160738325001112
    DOI: 10.1016/j.annals.2025.104005
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    References listed on IDEAS

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    1. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.
    2. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
    3. Federica Galli, 2023. "A spatial stochastic frontier model including both frontier and error-based spatial cross-sectional dependence," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(2), pages 239-258, April.
    4. Wang, Ju-Han Zoe, 2019. "National parks in China: Parks for people or for the nation?," Land Use Policy, Elsevier, vol. 81(C), pages 825-833.
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