Abstract

It is impossible to get a comprehensive understanding of the impact of the factors determining the competitiveness of agriculture without a regression model and a quantitative assessment of that impact using econometric calculations, which allows to isolate the factors that have a greater or lesser impact. However, the range of result and factor indicators that have a statistical relationship with the competitiveness of the Republic's agriculture is not comprehensive (taking into account that not all of them may have such a relationship), which limits the possibilities of quantitative assessment of the joint impact of all factors on the said competitiveness. In this case, it is necessary to limit to the quantitative assessment of the impact of specific factors on individual characteristics of agricultural competitiveness. Taking into account the role of productivity, yield and grain yield as the main result indicators characterizing the competitiveness of agriculture and its sub-sectors, the article highlighted and revealed the statistical relationship between these indicators and the individual factors affecting them in the period under study as a result of regression analysis (including considering the yield of wheat, and grain yield with the example of milk yield of cows). This made it possible to identify the factors that have a greater or lesser influence on the magnitude of the indicated indicators and to direct efforts to the mitigation of specific negative factors and to make the most of the possibilities of positively influencing factors.

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