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Determinants of International Tourism Inbound Receipts: The Quantile Regression Approach
40th International Conference Mathematical Methods in Economics 2022 ; : 386-391, 2022.
Article in English | Web of Science | ID: covidwho-2311457
ABSTRACT
Challenges in tourism arising from the COVID-19 pandemic, e.g., a decline in domestic and international travel, are forcing destinations to focus on improving tourism performance. Therefore, it is important for stakeholders to know the key determinants affecting tourism performance. This paper aims to find out whether a country's international tourism inbound receipts are determined by GDP, the number of international arrivals, and travel and tourism competitiveness. The proposed model for 125 countries is specific because we consider conditional quantiles of the dependent variable. The advantage of quantile regression is that it can determine whether individual percentiles of a dependent variable are more affected by independent variables than other percentiles of a dependent variable, which is then reflected in the change in regression coefficients. This study contributes to the existing literature that includes TTCI as an independent variable in tourism performance models.
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Collection: Databases of international organizations Database: Web of Science Language: English Journal: 40th International Conference Mathematical Methods in Economics 2022 Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: Web of Science Language: English Journal: 40th International Conference Mathematical Methods in Economics 2022 Year: 2022 Document Type: Article