Abstract
Abstract The work has approved the methods of partial economic evaluation of lands by the indicators of yield capacity of agricultural crops, payback of expenditures and differential income for a typical agricultural enterprise, located on the territory of the natural-agricultural province of the Western Forest-steppe. The research supplies proposals concerning improvement of the methods of economic evaluation of lands in Ukraine on the example of the indicators of economic evaluation of the land use at the farming enterprise “GREEN GARDEN”. The indicators are used for the growing of agricultural crops, planning their yield capacity, comparison of the economic fertility of soils and determination of the economic results of growing agricultural crops under the current production conditions in a defined working area. The research proposes the optimization of land-use management, applying a metrical game on the basis of indicators of the economic evaluation of lands to define the optimal share of agricultural crops in crop rotation. This method can be used to optimize land use in any region. Application of mathematical modeling by indicators of differential income ensures that maximum gross income is obtained under the mixed strategy of the game on better and worse soils in the enterprise.
Highlights
In Ukraine, there is a growing need for the application of data which characterize the topography of the location, soil quality, suitability of the land for cultivation and gives a comparative evaluation of the land quality according to the materials of economic evaluation of lands, for the analysis of economic activity by the level of the efficiency of growing some agricultural crops
In order to properly carry out crop rotation on a land property or land use, it is necessary to know the content of the land, as well as use the data of a partial economic evaluation of land so as to estimate the suitability of the land for growing different agricultural crops by means of mathematical modeling
Considering the fact that the farming enterprise is located in the natural-agricultural province of the Western Forest-steppe, within the territory of Borshchovychi natural-agricultural district, Formula 1 is recommended for the calculation of yield capacity according to the Main Statistical Office in the Lviv region (Main Statistical Office of..., 2017) of such agricultural crops in crop rotation as I – winter wheat, II – sugar beets, III – grain maize, IV – barley, V – winter rye (Table 1) (ZUBETS, SYTNYK, BEZUHLYI 2008)
Summary
In Ukraine, there is a growing need for the application of data which characterize the topography of the location, soil quality, suitability of the land for cultivation and gives a comparative evaluation of the land quality according to the materials of economic evaluation of lands, for the analysis of economic activity by the level of the efficiency of growing some agricultural crops. In the USA, the basis of economic evaluation of agricultural lands is agro-climatic estimation, with such criteria as: the structure and size of land use, the location of the farm, the degree of intensification, yield capacity of agricultural crops and production expenditures on different soils, established prices for agricultural products, distance from the land parcel to infrastructure objects and places of their implementation. The most widely spread method of economic evaluation of agricultural land parcels is to estimate lands according to the net income from the sale of agricultural products as the difference between the value of gross products and production cost per unit of area. Economic evaluation of lands is calculated by the method of capitalization of the costs of net products according to yield capacity of agricultural crops by comparing yields of some crops under different ways of farming (IVASENKO 2008). The methodology of supporting investments and methodic approaches to modeling the efficient use of agricultural lands have been studied in the works of Ukrainian and foreign scientists (TEMPLE et al 2018; DEATON 2018)
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