Analysis of agricultural use of the land fund of the Moscow region

Abstract

Subject. The relevance of the study is to substantiate one of the possible ways to link the results of agricultural land use with their quality and measures of agro-industrial impact. Purpose. The purpose of the study was to identify the degree of correlation between two sets of variables characterizing various aspects of agricultural land use in the Moscow region. Methodology. By evaluating canonical correlations, it is shown that even in the absence of a direct correlation between various indicators in agriculture, if it is impossible to identify key factors that can orient the economy of individual industries to the trajectory of sustainable growth, with the help of in-depth methods of multidimensional data analysis, it is possible to obtain a factor structure of the initial set reflecting the correlation between the studied groups of variables. Through the consistent improvement of the resulting structure, it is possible to come to an understanding of the basic elements that, when included in the strategic plan for the development of the agricultural sector, can change current unfavorable situation at the regional level. This can be useful especially in conditions of ambiguity of investment decisions on the actual use of agricultural land, considering the goals set in the livestock or crop production sectors. It is also important to adapt further the proposed algorithm by working it out on relatively up-to-date data. Results. According to the results of the canonical analysis, two economic and statistical models were compiled: in the 1st one, the dependence between the state of the lands of the Moscow region and the results of their use was revealed, in the 2nd one, an average correlation was established between the measures taken for agricultural development and the target points of activities in the field of agribusiness. Conclusions. The obtained results and conclusions of the conducted research can be used to form an interregional platform for experience and knowledge exchange, to prepare analytical materials for the preparation of relevant government decisions aimed at accelerating the innovative development of rural areas, to compile and update national and regional economic development programs for the long term.