ALBERT

Description: The increasing importance of large cities (metropolises) poses a range of challenges to the socio-economic functions of the rural and agricultural areas around them. One such challenge is pressure exerted on family-run farms to abandon agricultural activity and on people engaged in such activity to shift to other sectors. This may be a hindrance to successful succession on family farms. The aim of this paper is to present spatial variation in generational changes in farms located around large cities (metropolises) in Poland and to assess the factors affecting the scale of such changes. Special attention was paid to the importance of the location of farms relative to large cities. One innovative feature of the approach presented was to conduct an analysis of generational changes in the agricultural sector at the supra-local level along with an attempt to quantify the impact of large urban centers on that process. The empirical material based on which the conclusions were formulated included official statistics data and information made available by an institution engaged in the implementation of agricultural policy programs financed from European Union (EU) funds, i.e., young farmer payments (Common Agricultural Policy (CAP) pillar I) and measures “Setting up of young farmers” and “Early retirement” (CAP Pillar II). In the executed study, methods of descriptive and multivariate statistics, including regression trees, were used. It was found that socio-economic (exogenous) factors had a significant statistical impact on generational changes in farms. In areas with an attractive labor market and a high level of urbanization, a successful generational shift in farms occurred less often. Nonetheless, generational changes in the agriculture of the analyzed areas were relatively most strongly determined by endogenous factors linked with the economic potential of the farm. Farm characteristics (area of agricultural land and economic size) and the characteristics of managers, including in particular their education, were found to be more important than exogenous factors. In areas where large and economically strong farms dominated and the level of education among farmers was relatively high, generational changes were faster compared to other areas.

Description: Attempts to measure sustainability of farms are usually based on indicators of a set of sustainability dimensions. According to the literature, analyses should (but quite often do not) cover not only the level, but also the relations between the sustainability dimensions, because we could expect complementarity, synergies or competition between the sustainability goals. The aim of this paper was to measure and assess the interdependencies between dimensions of farms’ sustainability. The research was carried out on 601 farms that participate in the Polish Farm Accountancy Data Network (FADN), with the use of standard FADN data supported by additional information from interviews. Based on many variables, economic, environmental, social, and composite sustainability indices were collected. From the correlation and correspondence analyses it was concluded that the farms reached the balance of all three dimensions simultaneously when the level of sustainability indices was medium, while a high level of sustainability in one dimension made it very difficult to reach a high level in the others. It was also emphasized that assessing farms’ sustainability with the use of a simple aggregation of variables may be not correct since sustainability goals may compete with each other.

Description: Dynamic land use changes in metropolitan areas are global phenomena. The influence of urbanisation processes on farmland is twofold: urban encroachments predominantly take place at the expense of farmland, and also result in farmland abandonment processes, especially in Central Eastern and Southern Europe. This paper analyses determinants of farmland abandonment in 280 municipalities situated in six selected Polish metropolitan areas. The analysis, which covers secondary statistical data as well as primary data collected via a survey among experts, applies the regression tree method. Within the six selected metropolitan areas nearly 9% of the farmland is permanently excluded from agricultural production (actual abandonment), plus another 11.5% is currently not being used for production (semi-abandonment). For actual abandonment, physical and economic sizes of farms, part-time farming, and soil quality constitute the most relevant determinants. Socio-economic variables play a more important role in explaining semi-abandonment than actual abandonment. Temporary exclusion of farmland from agricultural production is connected with urbanisation processes. Higher shares of built-up and urbanised areas, higher population densities, and positive migration rates result in higher shares of semi-abandonment. Naturally, areas characterised by agrarian fragmentation, where due to low agricultural incomes farmers more often decided to abandon agricultural production, were, in particular, subject to this process.