Метод DEA при оцінці аллокативної ефективності виробництва та реалізації продукції рослинництва сільськогосподарськими підприємствами України

Долгіх Я.В.
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Долгіх Я.В.: Сумський національний аграрний університет

International Journal of Innovative Technologies in Economy, 2016, issue 4 (6), 16-20

Abstract: The purpose of the article is to determine, by DEA method, the allocative efficiency of crop production and marketing of agricultural enterprises in Ukraine, to assess the resource values, allowing enterprises to achieve maximum efficiency. The research was carried out by methods of economic-mathematical modelling. The VRS input-oriented model was selected to assess the allocative efficiency of the agricultural enterprises. Input model parameters: 1) labor costs, thousands of UAH; 2) social transferes, thousands of UAH; 3) depreciation, thousands of UAH; 4) other expenses, thousands of UAH; 5) material costs which were included in production costs (including the costs of seeds and planting material, food, other agricultural products, fertilizers, petrol and lubricants, electricity, fuel and energy, spare parts, repairs and construction materials for repair; service payments and payments for outside services, and other material costs), thousands of UAH. Output model parameters: 1) gross output of crop production enterprises, thousands of UAH; 2) crop sales by crop production enterprises, thousands of UAH. Based on statistics for 2015, by VRS-input oriented DEA model, the author calculated the allocative efficiency of production and marketing of crop farms of 24 regions of Ukraine and ranked them in terms of efficiency. In that way, there were defined the input values of the model that will allow inefficient companies to achieve maximum efficiency. According to calculations, the lowest allocative efficiency (0.77) features the farms of the Kyiv region. To ensure 100 percent performance of agricultural enterprises of the Kyiv region in crop production, it was recommended to cut down the following costs: 1) labor: by 260,661.9 thousands of UAH (by 37.64%); 2) social transferes: by 82,891.9 thousands of UAH (by 35.15%); 3) depreciation: by 123,948.3 thousands of UAH (by 23.13%); 4) other costs: 438,587.9 thousands of UAH (by 22.69%); 5) material expenses which were included in production price: by 2,217,984.4 thousands of UAH (by 27.05%).

Keywords: INPUT AND OUTPUT DATA; ALLOCATIVE EFFICIENCY; DEA METHOD; AGRICULTURAL PRODUCTION (search for similar items in EconPapers)
Date: 2016
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