This paper analyses the composition and volatility of the total income and wealth of dairy farmers and the importance and volatility of the different components contributing to their total income and wealth based on Dutch FADN data. The results confirm some existing findings on the stabilising impact of CAP subsidies and off-farm income on farmers’ total income. The paper extends the existing analyses by exploring the impact of taxes on income volatility and the important role of savings in stabilising consumption of farm households. In this paper we show that a broader perspective (including off-farm income and wealth) provides a more realistic picture of the income and wealth effects as experienced by farmers.

Societal expectations about agricultural production are changing. There are increased demands on issues such as food safety, animal welfare and the impact of agriculture on the environment (land, water and air). These changes have been refl ected in the European Union’s (EU) Common Agricultural Policy (CAP), but information on these issues is lacking and this complicates the required evaluation of policies. The EU Framework 7 project FLINT tries to close this gap by analysing the feasibility of collecting data on these new topics. FLINT has established a data infrastructure with up-to-date farm-level indicators for the monitoring and evaluation of the CAP. The project created a pilot network of more than 1,000 farms to collect a set of sustainability indicators at farm level. The pilot represents farm diversity at EU level, including the different administrative environments in the Member States. This paper sets out the context and the main contributions of the project.

The European Farm Accountancy Data Network (FADN) collects detailed financial economic information on a sample of farms in Europe. These data are used intensively for the evaluation of the European Union’s Common Agricultural Policy. Owing to changes in policies, there is a need for a broader set of farm level data, especially on the sustainability performance of farms. This paper describes the different types of FADN systems in Europe and evaluates how these types affect the feasibility of collecting sustainability data. In addition to a theoretical evaluation, the practical experiences of collecting sustainability data on more than 1,000 farms in Europe are described. The paper concludes with a discussion on the advantages and challenges of extending the scope of FADN data collection with sustainability data.

Given the increased attention to risk management in the European Union’s (EU) Common Agricultural Policy (CAP), it is important to monitor and evaluate the rates of adoption by farmers and their determinants over time. Current European agricultural statistics (Farm Accountancy Data Network) capture few indicators that assess such strategies, but complementing data collected during the EU Framework 7 project FLINT have allowed the adoption of risk management strategies and the determinants of farmers’ preference for complementary or substitute instruments to be assessed. Adoption rates of risk management instruments such as insurance contracts, price contracts, off-farm income, other types risk of reduction measures and other gainful activities vary signifi cantly across EU Member States and farming types. Econometric analysis indicates that larger farms more often adopt crop insurance, occupational accident insurance, price contracts and diversifi cation but are less likely to adopt credit avoidance and off-farm employment (at a signifi cance level of 1 per cent). For policy analyses these indicators are a step forward for the determination of the net impacts and establishment of counterfactuals in the long term (i.e. time series encompassing also adverse years) for measuring the impact of the CAP at farm level.

The measurement of farm economic sustainability has received intermittent academic interest in recent times, while the conceptual discussions are often quite limited. Moreover, this concept receives more attention at periods of difficulty for the sector. The measurement of farm viability is an important precondition to enrich these discussions. Therefore, it is necessary to develop more comprehensive and detailed measurement techniques to provide more clarity on viability and vulnerability levels in the sector. This paper refocuses attention on this issue, using a pilot dataset collected at farm level across a range of EU Member States which facilitates the assessment of an additional category of viability, namely that of economically sustainable farms, i.e. farms that are economically vulnerable but which are deemed sustainable by the presence of off-farm income. Differences in viability and economic sustainability across the eight surveyed Member States are shown. The analysis is sensitive to the factors included in the measurement of viability as well as to the threshold income used to define viability. Although this is a pilot study, it enhances our understanding of the factors affecting cross-country evaluation of viability and sustainability, and the policy instruments that could improve viability levels.