Abstract

The purpose of the research is theoretical and methodological substantiation and development of practical recommendations for determining the key parameters for evaluating the efficiency of agricultural enterprises in conditions of uncertainty. The study was conducted using a systematic approach to the study of economic phenomena and processes. The following methods were used to solve individual tasks: abstract-logical – to identify factors affecting the efficiency of agricultural enterprises; statistical-economic and calculation-constructive – for researching the state and efficiency of agricultural enterprises of Zhytomyr region; graphical and tabular methods – for visual representation of the obtained results, etc. The article substantiates that profit is an effective indicator of the activity of any enterprise and the main source of its income. It is proven that the amount of profit depends on a number of external and internal factors, however, uncertainty is key with it. It is argued that agriculture is a unique branch of the national economy, where the uncertainty of the conditions of economic activity of enterprises is felt especially acutely. Not only that, but it is established that uncertainty is generated by a lack of information about the future state of affairs. An analysis of the efficiency of agricultural enterprises of the Zhytomyr region was carried out. It was determined that the further progress and efficiency of agricultural production will depend on the return and restoration of agricultural lands that were occupied and suffered as a result of the Russian occupation; revival and development of logistics relations with suppliers and buyers; renewal and modernization of the material and technical base of agricultural enterprises; formation of a reliable system of state support for farmers. Ways to improve the efficiency of agricultural producers in conditions of uncertainty are proposed. Keywords: agricultural enterprise, agricultural producer, profitability, profit, efficiency, effectiveness, uncertainty, influence factor.

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