The article presents a statistical analysis to the formation and development of the peasant (farmer) facilities sector in Russia on such indicators as the composition of land, the level of agricultural production, the total land area. The authors identified groups of factors that affect the optimal parameters of land use (limiting, optimizing, maintaining) and also determined their weights using the method of hierarchy analysis
Due to the underdevelopment of the land market, a huge number of problems in the field of ca-dastral valuation of agricultural land, there is a need to solve them and to increase the reliability of the evaluation results. In the conditions of the unformed land market, the authors propose the use of the method of qualimetric modeling to assess the lands of this category. In order to implement it, the au-thors have developed a "tree" of price-forming factors included in the evaluation model, as well as qualimetric scales for each factor, on the basis of which an integral quality indicator is calculated and an optimal dependence reflecting the influence of "price-quality" is revealed. The results of the study allow us to conclude that it is possible to use this method and obtain the value of agricultural land, which is able to reflect modern market realities, create incentives for rational land use, and prevent the disposal of land of this category from economic turnover.
In the course of the work on the presented study, the scientific works of leading scientists in the field of land management were analyzed. In the course of their analysis, it was determined that the leading role in the development of the agro-industrial complex and the formation of new relations in rural areas belongs to agriculture. Accordingly, to ensure the proper functioning of small agricultural producers, it is necessary to solve the problem of optimizing their land use. The authors believe that one of the key positions in optimizing the use of territories should be played by "smart land use" and the process of its creation. The paper reveals the process of determining the most significant factors in the formation and functioning of small forms of management, since it is small forms of management that are the most flexible and easily adaptable to the rapidly changing modern economic, legal and so-cial conditions.The evidence base was a statistical analysis of the formation and development of small forms of agriculture of the Russian Federation on a number of indicators: the composition of land, agricultural production, area. The authors propose to identify several groups of factors that affect the optimal parameters of land use. Groups of factors are designated as limiting, optimizing, and support-ing. The study also determined the weights of factors that affect the optimal size of land use within each group using the hierarchy analysis method. The proposed factors and the identified dependencies are embedded in the "smart land use" model.
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