Challenges to Agritourism Development in Uzbekistan
Abstract
This research examines the evolution of agritourism in Uzbekistan by evaluating the preferences, expectations, and satisfaction levels of tourists based on data gathered from 103 respondents. The study used a multilayer perceptron neural network and a polynomial logistic regression model to identify the primary factors affecting visitors' propensity to visit agritourism sites and their satisfaction with price and services. The findings indicate that specific attributes—such as the presence of dairy and vegetable production, picturesque mountainous or riverside settings, internet connectivity, recreational facilities, and skilled service personnel—substantially increase both the likelihood of tourist participation and their readiness to pay elevated service fees. The research highlights agritourism's capacity to promote socio-economic advancement in rural regions and provides specific policy suggestions for the sector's sustainable development. The study establishes a basis for strategic agritourism planning in Uzbekistan by combining scientific methodologies with empirical tourism data.
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