caerCentral Asian Economic ReviewCentral Asian Economic Review2789-43982789-4401Университет Нархозcaer-230Research ArticleТЕОРИЯ И МЕТОДОЛОГИЯTHEORY AND METHODOLOGY OF ECONOMIC SCIENCEMODEL OF QUADRATIC PROGRAMMING OF ECONOMIC FACTORS AFFECTING THE COMPETITIVENESS OF SMALL-SCALE AGRICULTURAL ENTERPRISESMODEL OF QUADRATIC PROGRAMMING OF ECONOMIC FACTORS AFFECTING THE COMPETITIVENESS OF SMALL-SCALE AGRICULTURAL ENTERPRISESIskakovaA. S.IskakovaA. S.

Candidate of Physical and Mathematical Science, Associate Professor

Astana

BurgumbayevaS. K.BurgumbayevaS. K.

PhD

Astana

DzhumabayevaD. G.DzhumabayevaD. G.

Candidate of Physical and Mathematical Science

Astana

ZhumadilovM. T.ZhumadilovM. T.L.N. Gumilyov Eurasian National UniversityKazakhstan"National Testing Center" of the Ministry of Education and Science of the Republic of KazakhstanKazakhstan201828082018041016Copyright © Iskakova A.S., Burgumbayeva S.K., Dzhumabayeva D.G., Zhumadilov M.T., 20182018Iskakova A.S., Burgumbayeva S.K., Dzhumabayeva D.G., Zhumadilov M.T.Iskakova A.S., Burgumbayeva S.K., Dzhumabayeva D.G., Zhumadilov M.T.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://caer.narxoz.kz/jour/article/view/230

Представлена модель квадратичного программирования экономических факторов, эффективно учитывающих взаимное влияние элементов динамического ряда, влияющих на повышение конкурентоспособности мелких сельхозформирований.

Purpose – to form of model of discrete linear, quadratic and general programming of economic factors that effectively take into account the mutual influence of elements of a dynamic series that affect the increase of competitiveness of small agricultural formations.Methodology – probabilistic statistical analysis, economic-statistical research method.Originality/value – the proposed model effectively takes into account the mutual influence of the elements of the dynamic series that influence the increase of competitiveness of small agricultural formations, that is, the influence of various economic parameters on each other when they simultaneously manifest themselves. In this case, the forecasting operator is actually trained on the statistical material of the past.Findings – the proposed model takes into account the mutual influence of the change in all quantitative indicators in the reporting period on the result of each parameter in the prospective period to the greatest extent. Therefore, this model can be directly applied as separate small agricultural formations (peasant (farm) farms, since they occupy the main part of all formations) to increase the competitiveness of domestic agrarian production, and to predict macroeconomic indicators of ensuring and increasing the competitiveness of agricultural enterprises in the conditions of sustainable development of the agroindustrialcomplex. The universality of the model makes it easy to further modify it for use in solving a wide range of economic, production, marketing and financial problems wherever an effective forecast allows to rationalize management decisions and obtain results in the future. Taking into account the fact that in modern agrarian economy in ensuring the country's food security and increasing the competitiveness of agricultural enterprises, the forecast is widely used, it is difficult to estimate the expected social and economic effect.

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The authors declare that there are no conflicts of interest present.