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.

The negative impact of agriculture on the natural environment is not a new issue. One of the ideas to overcome this problem is the eco-efficiency concept, analyzing the agricultural output in relation, not only to traditional inputs, but to the environmental impact, as well. This paper aims at calculating the eco-efficiency of Polish commercial farms, based on a representative sample of 601 farms participating in the Polish Farm Accountancy Data Network (FADN). To assess the eco-efficiency of the farms, variables illustrating traditional inputs (land, labor, capital), as well as variables reflecting the environmental pressure of the surveyed farms (greenhouse gas (GHG) emissions, and nitrogen and phosphorus surpluses) were used. Data envelopment analysis (DEA) revealed that, on average, farms could reduce their inputs by almost a quarter without reducing their outputs. Additionally, it was revealed that incorporating externalities of agricultural production into analyses decreases the diversity of the farm population in terms of efficiency measures. According to the analyses, more eco-efficient farms are characterized by larger utilized agricultural area (UAA), higher production value, and higher intensity of chemical inputs per 1 ha, but at the same time by lower amounts of inputs used per production unit. Moreover, more eco-efficient farms achieved higher farm incomes in many terms: total, per 1 ha of UAA, and per 1 EUR of production value.

Life quality is an important indicator of sustainable development. Farmers’ quality of life strongly affects the farm’s viability. The main goal of this study was to identify the relationships between three main components of farmers’ quality of life: economic situation, living conditions, and mental comfort. In the first phase of the study, the theoretical model representing potential relationships between quality of life components was constructed, and in the second phase the relationships were verified with the use of the structural equation modelling method. The sample consisted of 600 farmers participating in the Polish Farm Accountancy Data Framework (FADN). In the analyses, data from the FADN database and data obtained during supplementary interviews with farmers were used. The analyses revealed that living conditions are significantly and positively correlated with the economic situation and mental comfort, while mental comfort turned out to be negatively correlated with the economic situation. It was concluded that future agricultural and rural development policies should be more focused on the social dimension of sustainable development than before, particularly considering the fact that a farmer’s higher engagement in the improvement of their family’s economic condition might result in lowering their mental comfort due to the stress and work overload.

Shortening food supply chains attracts increasing support from policymakers, to improve returns to farmers and stimulate rural development. However, there is a lack of empirical evidence regarding the impacts of short food supply chains on local economies. To address this, the article quantifies the impacts of short food supply chains on local economies, using the Keynesian-based Local Multiplier 3 method (LM3), applied to a unique dataset of 122 farm businesses from five European Union countries (France, Hungary, Italy, Poland and the United Kingdom). Estimations cover 305 market chains, comprising both short and long food supply chains, in which sampled farmers participate. The results indicate that the revenues from farm production remain largely within local economies, generating a substantial multiplier effect (LM3 > 2). This effect stems from purchases of farm inputs locally including, in the first instance, hiring local labour, as well as the expenditures of local suppliers that re-spend part of their revenues within the local area. The multiplier effects of short food supply chains are similar to long food supply chain equivalents as both use largely local labour and source tradable inputs locally. In shaping food chain policy a broader set of socioeconomic benefits to local development from selling through short food supply chains should be considered.

In many European countries, for both demographic and financial reasons, small schools are being closed. A rural school is one of the few public places which enables formal and informal meetings of community residents. When it is closed, social activity changes. This paper presents a multiple-case study of four Polish villages which in the year 2000 organized protests against school closures; two schools were saved and two were closed. Semi-structured interviews with local leaders and office workers were conducted in 2004 and 2016. The study shows that the decline of structural social capital was significantly smaller in those villages where the school was saved. In the village in which the building of the school did not serve the local population due to the decision of the authorities, a significant and long-term decline in both structural and cognitive social capital was observed. That means that local authorities may contribute to the degradation of the local social capital.