The development of energy production from renewable sources includes the production of energy from photovoltaic installations by prosumers. In Europe, RES development is driven by political goals and requires subsidies during the deployment period, at least as long as the cost of renewable electricity does not reaches grid parity. The study attempts to determine the importance of factors in the development of energy production by prosumers from PV installations in Polish regions. In 2019, the ‘Moj Prad’ program was introduced, applying subsidies to investment costs and the settlement of energy production in the net-metering system. Almost 900 thousand prosumer PV installations were built by the end of 2021, with a total capacity of 5.9 GW. Solar energy share grew from 0.1 to 2.1%. Spatial econometrics models were use in research to determine factors of prosumer PV systems development in Poland (at NUTS-2). Spatial regimes were found in the studied regions, as indicated by a positive autocorrelation (0.75). Considering the pseudo-R-square co-efficient, we can conclude that the spatial error, i.e., factors not included in the GNS model, constitutes approximately 10%. The economic variables included in the Mansky model, i.e., level of salaries and GDP, explain 90% of the variability of installed PV capacity (Nagelkerke pseudo-R-squared value is 0.906). The level of development of prosumer photovoltaic installations (in W per capita) in regions depends primarily on economic factors represented by the level of salaries in a given region. With the increase in salaries by one unit, we also have an increase in installed power capacity in watts per person by 3.52. Surprisingly, the region’s overall wealth did not matter, as the relative number of installations in regions with lower GDP was higher than in others. One can explain that the individual income of households is more important for increasing the number of prosumer installations than the income of the regional economy. The increase in the number of installations in one region contributed to the subsequent increase in their number in neighboring regions.

High investments and low economic efficiency of agricultural biogas plants operating on farms are two of the main barriers to the development of the biogas plant sector. Identification of economic and financial problems related to the operation of such facilities allows for the reduction of entry barriers for private investors, especially farmers. The aim of this research was to analyze the economic efficiency of investing in an agricultural biogas plant operating at a dairy farm. For the analysis, the case study method was applied. The economic efficiency of investment in a biogas plant was assessed using six different cash flow options. The NPV (net present value) and IRR (internal rate of return) methods were applied to assess the economic efficiency of the investment. It was found that the investment project for an agricultural biogas plant with a capacity of 0.499 MW located at a dairy farm required a subsidy of approximately 40–60% of the value of to ensure satisfactory economic efficiency. It has been shown that a particularly important aspect in assessing the economic efficiency of an investment in an agricultural biogas plant is the use of an economic calculation that takes into account the valuation and quantification of all positive external effects of such projects.

The size of farms is one of the most important factors affecting their efficiency. The size of farms affects the ability to invest and introduce technical progress, achieve economies of scale, both internal and external, as well as achieving higher efficiency. The aim of the work is to determine the variation in the effectiveness of production factors and the level of investment depending on the economic size of farms. Data from the Polish FADN database for the years 2010-2017 were used. It was found that along with an increase in economic size, the productivity of production factors increased, productivity in crop and animal production grew and the intensity of reproduction of assets increased. It was found that in farms of the first size class (about 10 ha) were characterized by low efficiency in all assessed aspects and achieved worse dynamics of effectiveness changes. In medium-sized farms (50 ha), a 30-80% higher level of all efficiency indicators was achieved and, in the case of work, efficiency even by 600%. It should be emphasized that farms classified as first class size have no development opportunities because they do not generate a sufficient surplus to provide income for the family and implement investments. The main function of small farms may be its social function and its income may only be an additional source of income for the farmer’s family. In order for Polish agriculture to be effective, intensive concentration processes are necessary.

Farms in Poland come in a wide variety of sizes, and the effect of farm size on the profitability of labor has not been sufficiently investigated. This paper takes a fresh look at the model for labor profitability determinants of family farms in Poland in relation to their economic size. The purpose of this paper is to analyze the factors that determine the labor profitability index in farms of various economic size classes (classes ES1–ES5). In the analysis of factors shaping the profitability of labor in family farms, a panel analysis was applied. Family farm income expressed per family labor unit was adopted as the dependent variable. The following variables were used as explanatory variables: (1) macroeconomic index of price relations (“price gap”); unemployment; average monthly gross wages and salaries; inflation; (2) technical-agricultural production efficiency index; (3) microeconomic ratio of total assets to agricultural land; technical equipment for work; land-to-labor ratio; debt ratio, subsidy ratio, and investment effort. A diversified influence of selected factors determining the level of profitability of labor in agriculture in particular groups of farms was found. The econometric models developed also indicate different strategies that are adopted by farmers on various farms. There is no single solution here; strategies for improving the profitability of work must take into account the specificity of a given entity. The models estimated indicate the necessity of using other mechanisms and tools of agricultural policy for farms of various economic sizes. It should be expected that, in the future, there will be a dichotomous development of farms. Medium-sized farms will become larger and economically effective, and smaller farms will perform residential functions, with the disappearing function of agricultural production.

Organic milk production is an environmentally friendly production system based on local forage and a ban on using chemical fertilizers and certain other rules. Organic milk is considered to be healthier and is gaining attention worldwide. The market for organic products is increasing. The aim of the paper was to analyze changes in the development of organic dairy production in Poland in the context of the EU. We analyzed the changes on the European Union (EU) level and the Poland level. To analyze the changes in organic milk production on European Union level, we used the autoregressive integrated moving average model (ARIMA). Our results show that both organic milk production and the farm area used for organic production will increase. Moreover, we analyzed the organic dairy farms running rural accountancy within the Farm Accountancy Data Network (FADN) in Poland in the years 2007–2018. We used tabular and graphic methods to present the data. In the analysis the methods of correlation and regression were used. Germany, France, Austria, and Great Britain are the countries with the largest numbers of organic dairy cows. Our prognosis examined the development of organic milk production in the European Union (EU). The number of cows on dairy organic farms will increase in most countries in the EU. Then, we analyzed the impact of the chosen factors on three dependent variables: organic milk production, total production of organic dairy farms, and income from family farms. The most important independent variables were cow numbers, the value of fixed assets, the value of current assets, long-term debt, and short-term debt.

The European Union dairy sector plays a significant role in supplying dairy products to consumers all over the world. The aim of this study was to examine changes in the return on equity as one of the main financial indicators determining the economic viability of EU dairy farms in the years 2004–2020. The analysis based on the DuPont model was used to determine the main drivers of return on equity in dairy farms from the five studied EU countries. The research results show that (1) the lowest return on equity in the years 2004–2020 was calculated for average farms from the Netherlands, and the reason for this phenomenon was the use of significant assets in the production, mainly resources that are very expensive in the Netherlands—land and human labor; (2) the highest return on equity was characteristic of dairy farms from France, and the factor strongly determining the favorable value of this ratio was the high degree of financing assets with low-interest loans and credits; (3) despite the lowest production potential and small scale of milk production, average Polish farms in the years 2004–2020 were characterized by a relatively high return on equity, which ranged from 4.97% to 14.9%.