Development of an econometric model for assessing the impact of production cost components on the formation of incomes of agricultural enterprises
DOI:
https://doi.org/10.15587/2706-5448.2026.361381Keywords:
production costs, regression analysis, agricultural enterprises, production management, incomes, expenses, analytical supportAbstract
The object of research is the financial and economic activity of agricultural enterprises that grow plant products. The problem is that some components of the production cost have different effects on the growth of incomes of agricultural enterprises, and therefore they need to be identified for the purposes of managing the production of plant products. Therefore, there is a need to develop econometrically substantiated tools that will provide a quantitative assessment of the impact of the structural components of the production cost of plant products on the formation of net incomes of agricultural enterprises. This makes it possible to integrate the results of the analysis into the system of strategic management of such enterprises. An econometric model of the dependence of net incomes on the production cost of agricultural enterprises has been constructed. Statistically significant factors of influence have been identified and the degree of their elasticity has been established. It has been proven that the optimization of individual elements of the production cost has a differentiated effect on the formation of net incomes of agricultural enterprises. The results obtained have allowed to form the basis of analytical support for the management of plant production for making management decisions to increase the efficiency of agricultural enterprises. The research did not take into account global economic and political events, although they often change the structure of incomes and expenses in the agricultural sector. War, changes in foreign trade, inflation - all this significantly affects the results. The results obtained can be used in practice - the developed analytical tools work well in the crop production management system of agricultural enterprises. The multiple regression model helps management personnel see how individual components of the production cost of crop products affect net incomes, and quickly find inefficient areas of resource use. This opens the way for expense optimization, increasing profitability and improving the financial performance of an agricultural enterprise.
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