A systematic solution to the numerous environmental, social and economic problems of the development of agritourism cluster is not achievable without appropriate economic and mathematical models and tools for their support, which would make it possible to accurately predict the main indicators of the sustainable development of agritourism, identify the main factors of sustainable development, determine the degree of the effectiveness of certain management decisions. The purpose is to develop a structural model for sustainable development of agritourism, which makes it possible to predict the level of development of the tourism cluster and assess the impact of various management decisions impact on economic, environmental and social sustainability agrarian region. The article uses the method of modeling relationships between latent PLSPM variables as an analysis method, and the PLS analysis is intended for analyzing high-dimensional data in a poorly structured environment. The tool proposed in the article will allow you to determine the characteristics that have the greatest impact on the level of agritourism development. The described PLS analysis can be used to successfully solve the problems of sustainable development of the tourism cluster both at the level of regional government structures and at the level of agritourism business entities. Using modern theoretical and econometrical models authors made out recommendations as to develop agritourism for sustainable development of the tourism cluster on micro-and macrolevel.
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