Open AccessOPTIMIZATION OF SMALL-SCALE LAND USE
Author(s) -
Victoria A. Pavlova
Publication year - 2021
Publication title -
vestnik sgugit
Language(s) - English
Resource type - Journals
ISSN - 2411-1759
DOI - 10.33764/2411-1759-2021-26-4-136-145
Subject(s) - agriculture , hierarchy , scale (ratio) , process (computing) , land use , computer science , land management , production (economics) , work (physics) , order (exchange) , limiting , analytic hierarchy process , field (mathematics) , environmental resource management , business , agricultural land , risk analysis (engineering) , environmental economics , operations research , geography , engineering , economics , mathematics , civil engineering , mechanical engineering , cartography , archaeology , finance , pure mathematics , market economy , macroeconomics , operating system
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.