Time‐Varying Interactions Between US–China Political Relation, Flight Frequency, and Inbound Tourism

ABSTRACT This study investigates the dynamics among US–China political relations, flight frequency, and inbound tourism through the utilization of a time‐varying parameter vector autoregression model. As political relations warm, there is a notable uptick in flight frequency between the two nations. Moreover, the rising flight frequency would further increase inbound tourists. Interestingly, our analysis reveals no substantial evidence supporting a significant impact of inbound tourists on either political relations or flight frequency. The study concludes with insightful policy implications drawn from these findings.

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Publication Details

Journal
Economics and Politics
Published
2025-04-27
DOI
https://doi.org/10.1111/ecpo.12347
Citations
1
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
4.20

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article

Time‐Varying Interactions Between US–China Political Relation, Flight Frequency, and Inbound Tourism

Yifei Cai, Yahua Zhang, Chunan Wang, Shiteng Xu
1 citations
Economics and Politics
Diverse Aspects of Tourism Research
4.20
article

Time‐Varying Interactions Between US–China Political Relation, Flight Frequency, and Inbound Tourism

Yifei Cai, Yahua Zhang, Chunan Wang, Shiteng Xu
article en
1 citations

Abstract

ABSTRACT This study investigates the dynamics among US–China political relations, flight frequency, and inbound tourism through the utilization of a time‐varying parameter vector autoregression model. As political relations warm, there is a notable uptick in flight frequency between the two nations. Moreover, the rising flight frequency would further increase inbound tourists. Interestingly, our analysis reveals no substantial evidence supporting a significant impact of inbound tourists on either political relations or flight frequency. The study concludes with insightful policy implications drawn from these findings.

Economics and PoliticsVol. 37(3)
University of South Australia (AU), East China Normal University (CN), Beihang University (CN)
University of South Australia, National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, National Social Science Fund of China
Openalex Percentile: Top 8%
Diverse Aspects of Tourism Research
4.20
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