ECONOMIC AND MATHEMATICAL MODELING OF STRUCTURAL OPTIMIZATION OF CROPPING SYSTEM OF AGRICULTURAL ENTERPRISES
The author analyzed the general approaches to optimizing the structure cropped lands of agricultural enterprises in order to develop an economic-mathematical model of the structure of cropped lands of an enterprise. The author considers peculiarities of using agricultural lands in the market economy and identifies contradictions in this area. Mandatory requirements for rational structure of cropped lands in terms of ecology, economy, organization of production, agronomy, etc. were defined. The study addresses the optimal criteria in the current market economic conditions and shows the importance of assessing the compatibility of agricultural crops based on the parameter of expected yield. The author has developed an economic and mathematical model for optimizing the structure of cropped lands for typical agricultural enterprises and identified additional parameters required for accounting within this model (e.g. basic level of productivity, potential level of productivity). The article includes the results of pilot application of the model in the enterprises of Belovodskiy District of Lugansk Oblast. As a result of solving a two-stage model of distribution of cropped lands within a single-index linear programming task and distribution task a structure of cropped lands was obtained allowing to make an economic estimation of the efficiency of actions taken in order to change the structure of seedings. The calculated result of growing agricultural crops with the account of agronomic crop rotation rules was positive for all tested enterprises, i.e. each enterprise can get the maximum profit. The main advantage of the developed model is that the proposed method allows evaluating the cost efficiency of actions taken in order to change the structure of seedings. In general, basing on the data of economic analysis of agricultural enterprises it is possible to establish rational and science-based ratio of agricultural crops in crop rotation ensuring profit growth.