September 10, 2025SAGE OpenOpen Access

Quantifying the COVID-19 Impact on Inbound Tourism: An Empirical Examination Through the Lens of Transfer Function Analysis

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Empirical examination reveals a 1% rise in COVID-19 cases decreases inbound tourism by 0.071%, suggesting significant socioeconomic interactions.

An increase of 1% in COVID-19 cases leads to a 0.071% decrease in inbound tourism the following month.
The study employs a transfer function model, showing reliability in capturing dynamic socioeconomic effects.
The results emphasize the importance of mathematical tools to understand complex phenomena during a global pandemic.
Findings provide a foundation for further studies using mathematical modeling in various research areas.

Yugang He (2025) studied this question.

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Empirical examination reveals a 1% rise in COVID-19 cases decreases inbound tourism by 0.071%, suggesting significant socioeconomic interactions.