Suchergebnisse

The aim of paper is to answer to the question whether the EU's Common Agricultural Policy reduces the differences in the average agricultural income between the EU-15 countries and those that joined the EU in 2004. The hypothesis was assumed that the CAP subsidies reduce the differences in agricultural income between these two groups of countries. Spreads between average income of farmers from the old and new members were calculated. The analysis is carried out in two variants. In the first one, the agricultural income does not include the CAP support, in the second one the agricultural income covers all CAP subsidies. The spatial scope of research involves two groups of countries: EU-15 (Belgium, the Netherlands, Luxembourg, France, Germany, Italy, the United Kingdom, Denmark, Ireland, Greece, Spain, Portugal, Finland, Austria and Sweden) and EU-8 (the Czech Republic, Poland, Slovakia, Lithuania, Latvia, Estonia, Hungary and Slovenia). The subjective scope of the survey covers representative farms from the EU countries (representing 4,045,300–5,295,930 farms in the EU countries, depending on the investigated year). The time frame of the analyses concerns the years 2005–2017. The data from the Farm Accountancy Data Network (FADN) are used. The study positively verifies the hypothesis that: subsidies from the CAP cause a decrease in the differences in average agricultural income between the EU-15 and the EU-8 countries. This contributes to an increase in economic sustainability and in the territorial cohesion of agriculture for the EU countries. ; Celem artykułu była odpowiedź na pytanie, czy polityka rolna UE powoduje zmniejszanie różnic w wartości dochodów rolniczych pomiędzy krajami UE-15 i krajami, które przystąpiły do UE w 2004 roku (UE-8). W artykule postawiono hipotezę, że subwencje ze wspólnej polityki rolnej (WPR) powodują zmniejszanie różnic w dochodach rolniczych pomiędzy tymi grupami krajów. Obliczono rozpiętości pomiędzy średnimi dochodami rolników z krajów UE-15 i UE-8 (tj. bez Malty i Cypru). Analizę zrealizowano w dwóch wariantach. W pierwszym, dochód rolników nie obejmował wsparcia WPR, w drugim wariancie, dochody rolników uwzględniały różne subwencje WPR. Zakres przestrzenny analiz obejmował kraje UE-15 (tzw. stare kraje), czyli: Belgię, Niderlandy, Luksemburg, Francję, Niemcy, Włochy, Wielką Brytanię, Danię, Irlandię, Grecję, Hiszpanię, Portugalię, Finlandię, Austrię i Szwecję oraz kraje UE-8 (tzw. nowe kraje), czyli: Czechy, Estonię, Litwę, Łotwę, Polskę, Słowację, Słowenię i Węgry. Zakres podmiotowy obejmował reprezentatywne gospodarstwa rolne z tych krajów (reprezentowały one w zależności od roku od 4 045 300 gospodarstw do 5 295 930 gospodarstw rolnych w krajach UE). Analizy obejmowały lata 2005–2017. Dane pochodziły z europejskiego FADN (Farm Accountancy Data Network). W wyniku analiz pozytywnie zweryfikowano hipotezę, że subwencje z WPR powodują zmniejszanie różnic w dochodach rolniczych pomiędzy UE-15 i grupą krajów, które przystąpiły do UE w 2004 roku. Przyczynia się to do zwiększenia zrównoważenia ekonomicznego oraz powoduje zwiększenie spójności terytorialnej rolnictwa z krajów UE. ; The project was funded by the National Science Centre on the basis of the decision number DEC-2012/07/D/HS4/01601.

The aim of this paper is to determine the influence of the Common Agricultural Policy&rsquo ; 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&ndash ; 2015. Results show that due to the CAP&rsquo ; 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.

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.

Sustainable development plays an important role in shaping conditions for economic growth, social development and care for the natural environment. The issue was also noticed at the level of the European Union, which is expressed among others by creating sectoral policies, including the Common Agricultural Policy. The aim of the article is to determine the influence of the Common Agricultural Policy on the level of socio-economic sustainability of farms in Poland. The authors formulate a hypothesis that the existing solutions serve the achievement of economic sustainability, determined by the agricultural to non-agricultural income ratio, but they do not provide sustainability of farms in terms of the social element understood as taking income disparities into consideration. In the article, panel regression and the ratio of income from representative FADN farms to average annual gross salary per employee in Poland in the years 2004&ndash ; 2017 were used. It was found that thanks to the support from the Common Agricultural Policy, the average income of farms comes close to the average income of the non-agricultural sector. However, the influence of the subsidies on changes in economic sustainability was uneven in various economic size classes of farms&mdash ; the strongest farms benefited the most, which means that social sustainability in terms of equal distribution of income was not achieved.

Abstract
Sustainable development of farms is determined by many factors and, in recent years, significance of modern technologies and artificial intelligence (AI) has been pointed out, especially in terms of beneficial effects on economic performance and natural resources. Therefore, there is a need to answer the question about the application of AI technologies in small-scale farms, especially those with a relatively high level of sustainability. In order to obtain the information, a survey in Poland, Romania and Lithuania was carried out. Among the respondents, the 20 most sustainable farms in each country were selected using the CRITIC-TOPSIS method. Next, in-depth interviews were conducted to explore attitudes, behaviour and knowledge of AI.. The results show that small-scale farms in selected countries do not apply artificial intelligence. Although owners recognise and appreciate the benefits of AI, they are not convinced to implement this technology in their own business, they are not completely uncritical about using AI tools in the practice. The main obstacles are: low level of knowledge, misconception of the price of innovation or lack of capital for buying more advanced technology, low interest in implementing innovative solutions due the small scale of production or habituation to traditional production methods.