Parameters of the strategy for managing the economic growth of agricultural production in Russia

Abstract

Agricultural economic growth requires management due to poor structurization. The study aimed to determine the parameters of the management strategy for the economic growth of agriculture in Russia. The research methodology relies on cognitive technologies of modelling the strategic alternatives of the economic development of the industrial complex using fuzzy cognitive logic. Static and dynamic analysis of the fuzzy cognitive maps on structural and dynamic indicators of agricultural economic growth in Russia allowed the forecast of the industry trends, influenced by various management factors. The option of an integrated management strategy for the economic growth of agriculture in Russia is proposed together with strategic maps, justified as a tool for its implementation. The created strategic alternative will allow the Russian agricultural and industrial complex to use the existing agricultural potential to achieve the target growth indicators and ensure sustainability.

The Study of Structural Changes in the Industry Debt of the North-Western Economic Area in the Tactical Period

“…The north-western economic area of Russia has an uneven multidirectional debt growth, but the most difficult situation is observed in manufacturing industries due to the fact that the industry owns about half of all overdue debt with continuing nonlinear uniformly accelerated growth, which, under unfavorable conditions of the structural crisis, will lead to the impossibility of using intra-industry resources for the implementation of restructuring [8]. The growth of debt load on real estate transactions and the high growth in lending to industrial production indicate the possibility of a financial bubble formation with the shutdown of modern production facilities due to the massive bankruptcy of the industry enterprises.…”

Lógica Fuzzy na Agricultura: Breve Histórico

“…Estabelece técnicas para ordenação e classificação de diferentes populações agrícolas com uso combinado de lógica fuzzy e algoritmos de machine learning. (Anokhina, 2020) Parameters of the strategy for managing the economic growth of agricultural production in russia Uso de modelagem cognitiva fuzzy para gerenciar crescimento econômico agrícola de maneira equilibrada.…”