@article{article_1564328, title={Econometric analysis of the relationship between tourism revenues and economic growth in Türkiye}, journal={Journal of Applied Tourism Research}, volume={5}, pages={64–73}, year={2024}, author={Tomak, Serpil}, keywords={Tourism revenues, Economic growth, Generalized linear model, Türkiye}, abstract={It is widely accepted that changes in financial risks and developments in the economy directly affect the tourism sector revenues. The purpose of this research is to identify the relationship between tourism revenues and economic growth. Inflation (INF), gross domestic product per capita (GDP), unemployment rate (UNE) and exchange rate (ER) variables are used in the analysis. The study employs Generalized Linear model (GLM-logit) for identifying the relationship between tourism revenues and economic growth in Türkiye by using quarterly data including the period from 2012-1 to 2024-2. Kolmogorov Smirnov test is used for normality of parameters. Spearman’s rho and year controlled partial correlation analysis are applied for correlations. Research findings reveal that there is no causality relationship between tourism revenues and economic growth. Inflation variable is the only most effective factor for economy and tourism revenues.}, number={2}, publisher={Isparta University of Applied Sciences}