Viza rejimini liberallashtirishning kiruvchi turizmga ta'sirini baholash: gravitatsiya modeli va mashinali o'qitish uyg'unligi

The article assesses the determinants of inbound tourist flows to Uzbekistan and the impact of the 2018–2019 visa liberalization reform. A “Tourist Attractiveness Factors Model” is proposed that combines a gravity model, an event study and machine learning algorithms. The gravity model is estimated by Poisson pseudo-maximum likelihood using official country-level data for 2014–2025. Tourist flows are driven by the population (elasticity 0.83), income (0.89) and distance (−1.59) of origin countries; flows from neighbouring countries are 7.5 times higher and from CIS countries 11.4 times higher. The visa effect built up over several years and in 2022–2024 corresponded to a 102–178% increase in flows. XGBoost achieved the highest out-of-sample accuracy (R² = 0.850). The potential of the Indian, Pakistani and Bangladeshi markets is found to be largely untapped.

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Publication Details

Journal
AGROBUSINESS SCIENCE AND TECHNOLOGY
Published
2026-11-05
DOI
https://doi.org/10.68372/3f140k68
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Viza rejimini liberallashtirishning kiruvchi turizmga ta'sirini baholash: gravitatsiya modeli va mashinali o'qitish uyg'unligi

Jumayev Akbar Mahmudovich
AGROBUSINESS SCIENCE AND TECHNOLOGY
Diverse Aspects of Tourism Research
article

Viza rejimini liberallashtirishning kiruvchi turizmga ta'sirini baholash: gravitatsiya modeli va mashinali o'qitish uyg'unligi

Jumayev Akbar Mahmudovich
article en

Abstract

The article assesses the determinants of inbound tourist flows to Uzbekistan and the impact of the 2018–2019 visa liberalization reform. A “Tourist Attractiveness Factors Model” is proposed that combines a gravity model, an event study and machine learning algorithms. The gravity model is estimated by Poisson pseudo-maximum likelihood using official country-level data for 2014–2025. Tourist flows are driven by the population (elasticity 0.83), income (0.89) and distance (−1.59) of origin countries; flows from neighbouring countries are 7.5 times higher and from CIS countries 11.4 times higher. The visa effect built up over several years and in 2022–2024 corresponded to a 102–178% increase in flows. XGBoost achieved the highest out-of-sample accuracy (R² = 0.850). The potential of the Indian, Pakistani and Bangladeshi markets is found to be largely untapped.

AGROBUSINESS SCIENCE AND TECHNOLOGYVol. 4(11)
Openalex Percentile: Top 9%
Diverse Aspects of Tourism Research
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