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Farms in the European Union come in a wide variety of sizes and the effect of farm size on profitability (return on assets – ROA) has not been sufficiently investigated. The principal goal of this paper, therefore, is to study the determinants of farm profitability using the panels of the Farm Accountancy Data Network (FADN) on farms of different economic size between 2007 and 2018. We use a profitability function based on ratios that show the production and financial management strategies used by the farms. We also analyse the impact of subsidies under the Common Agricultural Policy (CAP). To deal with endogeneity, we run dynamic panel models using the system generalised method of moments (sys-GMM) estimators. We highlight the important role of the high level of equity turnover. An increase in production relative to the farm's equity plays a crucial role in the growth of profitability for all groups of farms, but it is especially important for smaller entities. In addition, farm managers should control the level of debt since the debt-to-asset ratio is a highly significant negative determinant of farm profitability in most of the groups. The increase in subsidy rate generally translates into higher ROA, but this variable has a negative impact across the largest holdings.

The aim of this paper is to determine the influence of the Common Agricultural Policy’s (CAP) subsidies on the level of economic sustainability of farms by means of three-fold study. To determine the economic sustainability of farms the authors applied the income gap ratio. Next, the level of income differentiation between farms of various economic classes was established. The last part consisted of the recognition of statistically significant CAP schemes that shape agricultural income in farms of different size and in assessing how the respective subsidies should increase or decrease to fill the recognized gap, based on the coefficients of panel regression. The spatial scope covered all EU countries in 2005–2015. Results show that due to the CAP’s support the average income of farms has approached the average non-agricultural income, but distribution of this support favored the largest farms, increasing disparities within the sector.

Although sustainable development is a topic broadly discussed in the literature in relation to existing policy stimulus, a holistic approach to the implementation of sustainability in agriculture—for which there are three dimensions (economic, social and environmental)—is still missing. A regional approach, which averages the entire EU region, could therefore be useful in the long term for recommending directional guidelines for the Common Agricultural Policy (CAP). The objective of this study is to investigate the impact of key groups of CAP instruments and factor intensity on the three above-mentioned aspects of sustainability in the 2004–2017 period, with the assumption that they are all reciprocally related. This goal was achieved by measuring sustainability using the modified sustainable value approach combined with frontier-based nonparametric assessment and applying structural equation modelling, including multilevel random intercept. This research highlights trade-offs between environmental, economic and social efficiency and checks the impact of the EU CAP schemes on the sustainability of environmental, economic, and social dimensions in agriculture. Despite common indications of trade-offs, particularly between economic performance and eco-efficiency, our study shows that in the long term, such feedback has not occurred in any EU regions. Moreover, there are positive interactions between all three dimensions of sustainability from a cross-sectional perspective. The analysis of the impact of CAP subsidies proves that the current system of agri-environmental, set-aside and rural development payments has been effective in the long term, although broader implementation of environmental schemes in regions with lower labour productivity may negatively affect social sustainability.

The main aim of the considerations was to determine the factors determining the variability of milk production in selected macroregions of the European Union. The regions were selected on the basis of the analysis of the diversity of dairy farms FADN in the regions of the European Union, which was determined by the agglomeration cluster analysis using Ward method. In order to highlight the determinants of production there was factor analysis made. On the basis of the results of factor analysis there were factors that have a decisive impact on milk production in dairy farms from areas with a predominance of intensive production identified, and there was a possibility to find out which macro-regions of the European Union reached a relatively best and worst performance in terms of the distinguished factors.

The conflict between capital-intensive agriculture, often called industrial agriculture, and sustainable farming is ongoing, and not because of Western European countries, where intensification is increasingly sustainable. It is caused by several million small farms in Central and Eastern Europe that must choose a long-term development path. This is also a dilemma for agricultural policy: Are small farms so environmentally friendly that they should play the role of ‘landscape guardians’ at the expense of public support and economic vegetation, or should they strive to improve productivity through investments? This study offers a methodological contribution to the value-based sustainability approach by computing indicators of environmental sustainable value (ESV). The authors have attempted to combine the value-oriented approach with frontier benchmarking. They then tested how the European Union Common Agricultural Policy (CAP) schemes contribute to ESV using a long-term panel of regionally representative farms from Farm Accountancy Data Network (FADN) with regard to factor endowments, for the years 2004–2017. The seminal within–between specification was employed to control the time variant and time invariant space heterogeneity of European regions. The main finding is that higher investment support is beneficial to ESV. Regarding factor endowment influence, there was a positive impact of the capital–labour ratio. Except the cross-sectional impact of environmental subsidies, the payments exert a negative effect on ESV.

The economic situation of farms is determined by a number of factors, which have been widely described in the literature. One factor is market integration, which shapes the farmer’s position in the food supply chain. The involvement of farmers in the integration may be related to their social capital, although this hypothesis has not been fully verified. Thus, the aim of the article is to assess the relationship between the level of social capital and the market integration of farms in selected Central and Eastern European (CEE) countries. The analysis includes Poland, Romania, Lithuania, Serbia and Moldova, and the sample consists of a total of 3160 farms. Data were collected personally by the authors through face-to-face interviews with farm managers. Based on these data, the authors’ market integration index was calculated and the level of social capital of farms was determined. A comparative analysis of average market integration indices for farms with different degrees of social capital was then carried out separately for each country. The Mann-Whitney U-test and the Kruskal-Wallis test were used to determine the significance of differences. The findings reveal that the highest value of the market integration was recorded for those farmers who were most strongly ‘socialised’, i.e. who participated in long-life education, took part in social events and were members of various organisations. A very important implication of this is that by strengthening social capital, farms aim to strengthen integration into the market, which can consequently lead to improved economic performance. Therefore, mitigating regional disparities and increasing the average level of agricultural performance in CEE countries should include measures to increase social capital on farms, i.e. providing workshops, training, and exhibitions, as well as supporting agricultural producer organizations, promoting rural housewives’ circles, and organising social events, among others. Such activities can be financed both from the second pillar of the common agricultural policy and from local government budgets. The contribution of the research focuses on the rarely undertaken subject matter of the relationship between social capital and market integration in farms. The added value consists of 1) a comparative analysis of five CEE countries and 2) an estimation of the authors’ indicators of social capital and market integration of farms, which could be used in the future for similar research.

Milk and dairy products help meet the nutritional needs of the population. The main goal of this research was to analyse price volatility of milk and dairy products in Poland after accession to the European Union (EU). Price is the main economic influencer. We used 161 monthly observations from 01. 2007 to 05. 2020 to analyse the price changes. To measure the volatility, we have used Augmented Dickey-Fuller test (ADF test), Autoregressive-Moving-Average model (ARMA model), and Granger test. Our research confirmed high volatility of milk and dairy products prices. The ARMA model confirmed that the dairy product prices are stationary. Milk, butter and Gouda cheese are also useful for forecasting.

This article presents changes in the prices of milk and other dairy products in the European Union (EU). First, the descriptive statistics of the prices of milk and dairy products are presented, and then correlation and regression analyses were conducted to measure the relationships between the prices. We used the augmented Dickey-Fuller (ADF) test and generalised autoregressive conditional heteroscedasticity (GARCH) model to measure the stationarity and changes in dairy product prices in the EU. At the EU level, we checked the changes in prices of butter, skim milk powder, whole milk powder, Cheddar, Edam, Gouda, Emmental and whey powder. Our analysis confirmed that the butter, skim milk powder, whole milk powder, Cheddar, Edam and Gouda processes depend on previous values. The biggest price changes were observed in whey powder (34.12%), butter (24.46%) and skim milk powder (21.78%).

Changes in the retail prices of pasteurised milk, purchase prices, and the price relationship between retail prices for pasteurised milk and other food products are analysed for Poland during the period from 2004–2018. In addition, the paper presents factors affecting changes in milk prices in Poland and characterises the Common Agricultural Policy (CAP) on the milk market. The adoption of a long period of analysis allows for the study of periods of both high and low variability. The data analysis uses various methods including the Augmented Dickey-Fuller (ADF) test and the Autoregressive-Moving-Average Model (ARMA). The milk market showed significant response because it was one of the few that was strongly administered by the European Union. These policies led to a significant increase in milk prices in the analysed period. The average price of pasteurised food milk increased by 63% in 2003–2015, and the purchase farm price of milk increased by 91.74%. The situation changed when the production limits were eliminated after 2015. In the initial period after quotas ended, the price of milk decreased and then increased. Similar changes were observed in other EU countries. Even short-term fluctuations associated with economic crises did not significantly affect the milk market.

Facing enormous differences in factor endowments across European agriculture the aim of the study was to identify the significance of differences in land, capital and labour endowments on the efficiency of different agricultural production types in the EU. The Ward Cluster Analysis was used to distinguish groups of EU regions, significantly differing in factor endowment, DEA model to determine the relative differences in technical efficiency of different types of agricultural production in EU regions and ANOVA analysis to assess the significance of differences in the efficiency of agricultural production types between these EU regions. It was found that generally the agriculture of the EU-12 regions was characterised in 2015 by higher efficiency of transforming inputs into effects than households in the EU-15 regions. Therefore, factor endowments play a significant role in transformation of production factors into effects. The article shows that there is a diversity of factor endowments in agriculture between EU region groups, which translates into differences in the technical efficiency of agricultural holdings of various types of production.