Open AccessECONOMIC AND STATISTICAL ANALYSIS OF FARMERS' ACTIVITY
Author(s) -
Natalia Serhiivna Ruchynska
Publication year - 2018
Publication title -
ekonomìčnij analìz
Language(s) - English
Resource type - Journals
eISSN - 2219-4649
pISSN - 1993-0259
DOI - 10.35774/econa2018.04.287
Subject(s) - agriculture , estimation , production (economics) , process (computing) , mathematical model , time horizon , economic analysis , economic model , quality (philosophy) , economics , computer science , business , operations research , agricultural economics , mathematics , statistics , geography , microeconomics , philosophy , management , archaeology , finance , epistemology , operating system
. Improvement of the process of making managerial decisions and, accordingly, improvement of the quality of the decisions made is achieved through the use of scientific approach, models and methods of decision-making. Methods of economic and mathematical modeling allow to solve a number of issues related to the development of alternative areas of activity, optimization of the structure, production costs and sales of farm products. Therefore, it is expedient to use them for making managerial decisions at farms.Purpose. The article aims to carry out the economic and statistical analysis of the activity of the farm and the feasibility of applying economic and mathematical methods in the process of managing farms in modern conditions of farming. The application of economic and mathematical methods and models for making managerial decisions is considered on the example of the activity of the farm "Horizon" of the Veselinovsky district of the Mykolaiv region, which specializes in the cultivation of grain crops (except rice), legumes and seeds of oilseeds.Methods. In the course of the study, methods of system analysis, index method of factor estimation, and economic and mathematical modeling have been used.Results. On the basis of economic indicators of the activity of the farm "Horizon" during the reporting period, the economic and mathematical model of optimization of sown areas has been created. It contributes to the correction of managerial decisions for improving the efficiency of economic activity.