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Improving the optimization methodology for the structure of agrolandscapes
Author(s) -
K. Y. Zotova,
E. V. Nedikova
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/422/1/012100
Subject(s) - agriculture , agrarian society , agricultural productivity , production (economics) , business , environmental resource management , economic efficiency , agricultural land , russian federation , natural resource economics , environmental economics , environmental science , geography , economics , market economy , archaeology , economic policy , macroeconomics
The unstable economic situation of agricultural producers and the agrarian sector as a whole necessitates the search for methods of organizing production to ensure stabilization and a consistent improvement of the agricultural sector. The analysis of the territory as the basis of the agro-industrial complex is of great importance, and therefore, it is necessary to develop a combination of optimizing agrolandscapes aimed at improving the efficiency of agricultural production. In this regard, the authors improved the methodology for optimizing the structure of agrolandscapes based on determining the influence degree of the level of anthropogenic load on the ecological condition of the territory, which, in turn, directly depends on the ratio of agricultural lands of the agrolandscape and determining the share of each type of land on the growth of ecological and economic efficiency of the territory. Within the proposed methodology the cumulative impact of natural and anthropogenic factors was assessed using two agricultural enterprises of the Voronezh region as an example. It made possible to comprehensively assess the environmental effectiveness of the study area. This technique of optimizing the structure of the agricultural landscape of enterprises can provide the environmental and economic efficiency assessment of any agricultural enterprise in the Central Black Earth Region of the Russian Federation.

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