This study investigates the dynamics of agricultural land prices across the European Union (EU) from 2006 to 2022, focusing on trends of convergence and divergence among member states. Employing a mixed-methods approach, including econometric analysis of price convergence models and comparative policy evaluation, the research identifies critical economic, policy, and environmental factors influencing land markets. The results indicate price convergence in Eastern European countries, such as Romania and Poland, driven by EU policies, including the Common Agricultural Policy (CAP), and increased foreign investment. In contrast, Western European countries like the Netherlands and Luxembourg show price stability at elevated levels due to mature markets and limited land availability. The findings reveal a nuanced interaction between EU-wide and national policies, with CAP fostering convergence in emerging markets while maintaining price stability in developed ones. This study underscores the importance of tailored policy measures to address market disparities, support smaller farmers, and promote sustainable rural development across diverse EU regions.

This study examines Poland’s agricultural land market between 2009 and 2023 through fixed effects and spatial econometric models, highlighting economic and spatial determinants of land prices. Key results show that GDP per capita strongly increases land values (β = +0.699, p < 0.001), while agricultural gross value added (–2.698, p = 0.009), soil quality (–6.241, p < 0.001), and land turnover (–0.395, p < 0.001) are associated with lower prices. Spatial dependence is confirmed (λ = 0.74), revealing strong regional spillovers. The volume of state-owned WRSP land sales declined from 37.4 thousand hectares in 2015 to 3.1 thousand hectares in 2023, while non-market transfers, such as donations, exceeded 49,000 annually. Although these trends support farmland protection and family farms, they also reduce market mobility and hinder generational renewal. The findings call for more flexible, sustainability-oriented land governance that combines ecological performance, regional equity, and improved access for young farmers.

The aim of this paper is to assess the territorial cohesion of municipalities (gminas) in Poland using quantitative data and non-parametric modelling techniques. The full population of 2174 Polish municipalities divided into rural and urban-rural municipalities was examined. The time interval of the study, i.e., 2005–2017, allows us to capture the changes stimulated by the implementation of the cohesion policy, i.e., the programme of socio-economic transformation in Poland, implemented in the programming period 2007–2013. Using the DEA approach, a general decline in the cohesion index value over time was recorded in the period of analysis. The results of estimating autocorrelation measures indicate a progressive tendency to build spatial clusters, where the size of the local administrative unit (municipality), measured by the population potential and spatial location of the municipality significantly affect the cohesion level. It was also found that there are limits of positive influence of the EU income on the possibility of achieving a high level of cohesion, hampered by a limited resource of own funds. The research method in this paper has been empirically validated and can be applied to territorial cohesion studies in other EU countries.

Celem artykułu jest odpowiedź na pytanie o konsekwencje dla polskich banków komercyjnych modyfikacji wymogów kapitałowych o czynnik środowiskowy. Stosując metodę symulacyjną, estymację CRISK i MCRISK oraz metodę porządkowania liniowego, sformułowano następujące wnioski: i) o ile zasadne jest uwzględnianie ryzyka klimatycznego w kontekście wpływu na ryzyko kredytowe, rynkowe oraz operacyjne w analizach scenariuszowych, o tyle ze względu na brak wiarygodnych danych historycznych trudno jest aktualnie kalibrować GSF oraz BPF ii) symulacja wdrożenia korekt kalkulacji współczynników adekwatności kapitałowej o GSF oraz BPF nie powinna istotnie obniżyć wskaźnika Tier 1 w odniesieniu do największych banków; iii) duże banki detaliczne odznaczają się relatywnie wysokimi pozycjami w rankingu odzwierciedlającym kombinację cech finansowych i wyników ujawnień środowiskowych, iv) ryzyko klimatyczne nie stanowi obecnie (2023) bezpośredniego zagrożenia dla polskiego sektora bankowego, jednak ryzyko transformacji klimatycznej jest czynnikiem o istotnym znaczeniu.

The aim of the article is to present an assessment of the economic effects of replacing the WIBOR rate with the WIRON rate for preferential credits in Polish agriculture. The study is an in-depth case study and uses the simulation analysis method. The introduction of the WIRON 3M rate will result...

The aim of the article is to present an assessment of the economic effects of replacing the WIBOR rate with the WIRON rate for preferential credits in Polish agriculture. The study is an in-depth case study and uses the simulation analysis method. The introduction of the WIRON 3M rate will result in a reduction in the interest rate on preferential credits granted in the future, and the nominal scale of the discount will depend on the phase of monetary policy in the country and the level of the applicable interest rates set by the National Bank of Poland (NBP). However, in the case of credits granted according to the currently applicable mechanism (interest rate based on WIBOR 3M) or the promissory note rediscount rate, the change will most likely be neutral. The largest part of the interest rate reduction in all phases of the monetary policy cycle is obtained by borrowers (farmers) using credit lines: RR (credits for investments in agriculture and inland fishing, Z (credits for the purchase of agricultural land) and most activities financed under the PR line (credits for investments in the processing of agricultural products, fish, crustaceans and molluscs, as well as the purchase of stocks and shares). In the case of disaster loans granted to insured borrowers, the only beneficiary of the index change will be the State Treasury. Quantifying the potential savings for borrowers in the agricultural sector related to changes in reference rates is not easy due to the scarcity of the available detailed data.