USING METHODS OF ECONOMIC AND MATHEMATICAL MODELING IN INCREASING THE EFFICIENCY OF THE REGIONAL AGRO-INDUSTRIAL COMPLEX
DOI 10.32651/223-88
Issue № 3, 2022, article № 15, pages 88-93
Section: Problems of agroeconomic researches
Language: Russian
Original language title: ИСПОЛЬЗОВАНИЕ МЕТОДОВ ЭКОНОМИКО-МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ В ПОВЫШЕНИИ ЭФФЕКТИВНОСТИ РЕГИОНАЛЬНОГО АПК
Keywords: ECONOMIC AND MATHEMATICAL MODELING, STOCHASTIC MODELS, EFFICIENCY OF REGIONAL AGRO-INDUSTRIAL COMPLEX
Abstract: Theoretical, methodological and applied aspects of the application of economic and mathematical methods in the development of managerial decisions in the economy of the regional agro-industrial complex are considered. The problems of accurate quantitative assessment of the efficiency of resource use and taking into account their availability, substantiation of optimal options for development and functioning of regional AIC. Model object example revealed and proved the possibility of practical application of methods of economic and mathematical modeling in increasing and achieving maximum indicators of economic efficiency. The substantiation of the model program for optimizing the parameters of the development of the model object of southwestern Belarus was implemented in 2020, based on the actually achieved indicators of the functioning and development of the economy for 2017-2018. A developed stochastic optimization economic and mathematical model of the upper level was developed to calculate optimal development parameters according to the criterion of optimality maximum mathematical expectation of profit. Based on the results of the solution of the economic and mathematical model, recommendations were developed on optimal parameters of intra-farm land use. The improvement of quantitative and qualitative indicators of the functioning and development of the branches of the model facility on the basis of economic and mathematical methods of optimization as a whole will increase the level of production of marketable products by 3.7%, and labour productivity - by 5.8%.
Authors: Kononchuk Viktor Viktorovich