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.

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.

The increase in energy demand requires urgent investments in sustainable energy. It is vital to the success of the 2030 Agenda, adopted by the United Nations General Assembly. The article aimed to assess the situation of the European Union countries with regard to energy use. Indicators related to the implementation of SDG7 and environmental and resource productivity of the economy were adopted for the study. The research presented in this article fits into contemporary debates on the effectiveness of implementing one of the SDG7: ensuring access to affordable, reliable, sustainable, and modern energy for all. The analysis included 26 countries that have been in the European Union since 2010. The study’s originality lies in the use of primary data obtained from the Eurostat database for three research periods: 2010, 2015, and 2020, which will allow for assessing the situation of the surveyed EU countries in the area of energy use. In order to achieve the research objective, selected methods of descriptive statistics and vector measurement were used. The application of a vector measure made it possible to rank the studied countries in terms of efficient energy use. Based on the results obtained, there is a significant variation in space and time in the evolution of the energy system of the European Union’s member states toward sustainable development. Rational energy use is primarily the domain of north-western European countries, with Sweden and Austria always leading the rankings. However, this does not mean that in these countries, in spite of their high position in the ranking, the levels of some indicators in 2015 and 2020 as compared with those in 2010 did not deteriorate. Due to this fact, attention should be paid to the energy use process and identification of signals responsible for deteriorating the outcomes. The research results can help diagnose the results obtained so far and correct the European Union’s climate and energy policy in the future.

Poland has a large potential for biogas production from agricultural sources and food waste. This potential is still poorly used. There are many reasons for this state of affairs. We can indicate both the policy of the state towards renewable energy sources (RES) with a small amount of energy from biogas contracted at auctions, investment risk, and especially low return on investment in the absence of investment support. An important reason is also the limited state budget. The purpose of this work was to determine the endogenous factors that determine ROE, the direction of the impact of these factors, as well as the strategy of biogas plants in shaping the ROE level. The DuPont model was used in the analysis of ROE changes. We used the deviation method to determine the impact of the various factors on ROE. Against the background of the energy sector in Poland, the value of ROE in the examined biogas plants should be considered satisfactory, and in 2020 it was, on average, 13.9%. The decrease from 17.2% in 2019 occurred despite the increase in energy prices and the increase in the net profit margin (NPM). It resulted from the reduction of ROE’s financial leverage through external capital. A high level of debt characterized the examined biogas plants, and the pursuit of risk reduction and debt reduction negatively impacts on ROE. This may indicate the need for state investment support at the plant construction stage or low-interest investment loans to develop biogas plants. In addition, using only price guarantees under the feed-in tariffs, with dynamic changes in costs, may bring the industry a relatively high investment risk compared to other RES, where the operational costs during the lifetime are low, as it is in PV or wind systems.