In developing the measures of agriculture policy and purposeful usage of EU funds, also for financial organisations, farmers, advisors and scientists it is important to predict farm bankruptcy.

According to the agricultural Census data, dairy farms with less than 20 cows (small-scale dairy farms) have the biggest share of dairy farms structure in Lithuania, Latvia, Estonia and Poland. It leads to the importance of entrepreneurship ability evaluation in small-scale farms among these countries. However, there are no researches about comparison of entrepreneurship ability of small-scale farms among mentioned countries. The article investigates a comparison of the farmers’ entrepreneurship ability in small-scale dairy farms in mentioned countries by using distribution terms. The aim of the article is to perform calculations of small-scale dairy farms’ entrepreneurship ability for each country, give comparison analysis of the data among countries and estimate fitted distributions of entrepreneurship ability for further modelling purposes. The entrepreneurship ability and fitted distributions are evaluated by using optimization methods. The complex comparison method is also provided to show the general situation of the dairy farms in the selected countries. The results of the investigation show that Poland takes relatively the best position in the dairy farms’ economy. Latvia and Estonia take up relatively weaker positions. The calculation of the entrepreneurship indicators for each country shows that Estonian farmers have the highest entrepreneurship ability level. Two third of Estonian small-scale dairy farms’ correspond the entrepreneurship of 0.8 and a higher level. Latvian, Lithuanian and Polish dairy farms’ owners have similar average entrepreneurship ability (0.6–0.7) with different standard deviations. The best fitted distributions for all countries are normal and truncated normal distributions.

Direct payments are one of the most important measure of the Common Agricultural Policy because of majority financial resources allocated for them. Direct payments guarantee minimum income to agricultural producers because of fluctuation agricultural products price in the markets. Regarding relatively large financial resources, it important to assess the impact of direct payments to agricultural producers according to farm size and type of farming. The purpose of the paper is to assess the impact of direct payments to results of agricultural activity. The methods used are as follows: systematic analyses of scientific literature, comparison, generalization and graphical methods, regression analysis. In the paper the overview of scientific literature related to the impact of direct payments to agricultural producers, analysis of the influence of direct payments to agricultural activity both in EU countries, focusing the attention to Lithuanian agriculture is carried out. The results of regression analysis concerning the direct payments impact to different agricultural activity results according to the farm size and farming type are outlined.

As the milk in Lithuania produces by a lot of milk producers, who sell their product to several customers (several large dairy processors), a hypothesis appears, that Lithuanian raw milk sector is oligopsonic. In this case, the price is not determined by the product producer, but by the buyers. This situation is typical for many agricultural products in food supply chain. This study aims to determine the market power of the Lithuanian milk processing industry on the market of raw milk. An empirical analysis is based on the New Empirical Industrial Organization (NEIO) market power models. Empirical research has showed that there was an oligopsony (0.28) in the Lithuanian raw milk market.

A review of the scientific literature revealed that the use of only one objective, such as the maximization of gross margin, is not sufficient to interpret farmers' behavior. The research problem is to determine whether other attributes such as risk, leisure time also play an important role in their decision making. The paper aims to evaluate Lithuanian crop producers' decision making using a multiobjective optimization approach in relatively small, medium and large farms. The analysis was performed on data from specialist cereals, oilseeds and protein crops' farms covered by FADN. The results of the analysis revealed that Lithuanian specialist cereals, oilseeds and protein crops' producers aim to achieve multiple goals and those goals are different according to farm size. The research also showed that not all famers consider gross margin as its primary objective.