Determinants and spatial spillover effects of inbound tourism in Chinese cities
Abstract
Purpose
By using a wide range of macro and micro factors, this paper aims to provide a new assessment of the recent literature on inbound tourism demand models.
Design/methodology/approach
This study examines the determinants and spatial effects of inbound tourism using Hausman–Taylor and spatial econometric models.
Findings
Several important factors were identified, including local economic growth, openness to the outside world, regional size, geographic distance, foreign direct investment, level of innovation and average annual temperature. In addition, the study found strong cross-city competition effects on tourism resource endowment and hotel infrastructure.
Originality/value
Inbound tourism is a crucial link in achieving high-quality economic development. However, previous studies have mainly focused on the analysis of single influencing factors, ignoring the spatial spillover effects of factors.
Keywords
Acknowledgements
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: National Natural Science Foundation of China (71974002, 72341014); Anhui Provincial University Science Research Project (2022AH050593).
Declaration of conflicting interests: The author(s) declared no potential conflicts of interest concerning the research, authorship and/or publication of this article.
Citation
Li, G. and Pu, K. (2024), "Determinants and spatial spillover effects of inbound tourism in Chinese cities", International Journal of Tourism Cities, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJTC-11-2023-0244
Publisher
:Emerald Publishing Limited
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