DEVELOPMENT OF OPTIMAL CROP PRODUCTION MODEL CONSIDERING EXISTING NATURAL-CLIMATIC RISKS INCREASING CROP YIELDS
Shaimerdenova A. Agapitova L.G. Bobrova A.V. Akhmetov Y. Sinyukov V.A. Sharonin P.N. Dobrovolsky A.G. Ryakhovsky D.I. Krasnovskiy E.E. Ten A.D.
June 2023Society for the Advancement of Breeding Researches in Asia and Oceania
Sabrao Journal of Breeding and Genetics
2023#55Issue 3778 - 795 pp.
Contemporary agriculture is a fertile ground for the effective use of economic and mathematical models, which can be evaluated to unwind several problems with characteristic optimization features: multiple solution opportunities and freedom of choice, limited production resources, and efficiency valuation. The presented study aims to develop a model of optimal crop production structure under the existing weather risks in the agricultural management system. The article reviews the basic theoretical concepts in optimizing the production structure of agricultural enterprises, examines the specific features of crop production, proves the influence of weather and climate conditions on forming the production structure, demonstrates the use of correlation and regression analysis for trend modeling and forecasting of crop yields, and offers suggestions for determining the optimal production structure. The study concludes that multivariate forecasting helps optimize management in economic organizations and ensure their development under the variability of natural conditions. Natural and climatic conditions significantly impact the development of production structures in agricultural enterprises, along with nature acting as an innate participant in the game.
Agricultural enterprise , agricultural production structure , economic and mathematical models , natural conditions , optimization model , weather risks
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Kazakh National Agrarian Research University, Kazakhstan
Department of Economics, Organization and Management of Agro-industrial Complex, Northern Trans-Ural State Agricultural University, Russian Federation
South Ural State University (National Research University), Russian Federation
Department of Land Management and Cadastre, M.H. Dulati Taraz Regional University, Kazakhstan
Faculty of Management and Technology, Khabarovsk State University of Economics and Law (KSUEL), Russian Federation
The Russian Presidential Academy of National Economy and Public Administration, Russian Federation
Department of Economic Cybernetics, Kuban State Agrarian University, Russian Federation
Financial University under the Government of the Russian Federation, Russian Federation
Bauman Moscow State Technical University, Russian Federation
Federal Research Center of Agrarian Economy and Social Development of Rural Areas, All-Russian Research Institute of Agricultural Economics, Russian Federation
Kazakh National Agrarian Research University
Department of Economics
South Ural State University (National Research University)
Department of Land Management and Cadastre
Faculty of Management and Technology
The Russian Presidential Academy of National Economy and Public Administration
Department of Economic Cybernetics
Financial University under the Government of the Russian Federation
Bauman Moscow State Technical University
Federal Research Center of Agrarian Economy and Social Development of Rural Areas
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