It is stated that the strategic benchmark for transformational changes in the economy is currently low-carbon production, the achievement of which is possible to provide with the consistent application of an arsenal of strict control measures, in particular, the introduction of state audit of low-carbon production. The effectiveness of the mechanism for ensuring the implementation of the UN Framework Convention on Climate Change has been assessed. The necessity of implementation in the domestic practice of the state audit of low-carbon production by the decoupling approach is proved. The agri-business portfolio has been formed according to the decoupling approach as one of the leaders in greenhouse gas pollution. The author's economic and mathematical models of estimation according to the decoupling approach of the impact of branches of crop and livestock production on environmental pollution are proposed. The dependence of greenhouse gas emissions on the volume of gross output of agricultural production, capital investment and current expenditures on environmental protection has been established. The results of a comparative analysis of the realism of forecasts of changes in greenhouse gas emissions according to the methodology of the National Academy of Sciences of Ukraine and the author's methodology are highlighted. A roadmap for the introduction of a state low-carbon decoupling audit of the state decoupling audit has been proposed as part of the preparation of the second nationally determined contribution to the Paris Agreement. The expediency of supplementing GRI 300 “Environmental Disclosures” with the group of indicators GRI-305.5 “Reduction of GHG emissions”, formed by the decoupling approach, is substantiated.

Production economics forms a very important part of an enormous range of economic theory. Agricultural production is no exception. When evaluating the competitiveness of the multifunctional agriculture, it is necessary to use the measure of efficiency instead of productivity. The conception of the efficiency is explained and the methods for measurement are provided. The authors discuss the methods of Stochastic Frontier Approach (SFA), Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA) that are particularly useful for multi-criterial evaluation of multifunctional processes. Those methods assign an efficiency score to each Decision Making Unit (DMU) based on how well it transforms a given set of inputs into outputs. Most studies have only focused on application of DEA method for assessment of the efficiency of agriculture farms. There is still a need on applications for sectors. This paper provides an examination of the applicability of DEA method to agriculture sectors efficiency measurement. By applying mathematical models, which are based on the DEA, the efficiency of agriculture in each EU country was evaluated.

The article presents results of the analysis of the cattle breeding industry’s development in Ukraine, the main trend of which was the decrease in the number of cattle, including the number of cows. A way to support livestock in the industry using the subsidy mechanism is suggested. This approach is aimed at increasing profitability of the cattle breeding industry output per 1 ha of fodder crops in the farm to profitability of barley production from 1 hectare in the area. The results of the proposed approach show that increasing milk profitability from 1 hectare of fodder crops to barley profitability from 1 hectare can be the basis for maintaining the livestock sector. The use of the livestock productivity factor (cow milk yield) in the proposed methodology makes farms more interested in increasing livestock productivity, which in turn increases the number of subsidies in the industry. In addition, an increase in fodder crops area in the farm has an ecological effect.