Every year a sample of farm accounts is established in order to report Danish agro-economical data to the ‘FarmAccountancyDataNetwork’ (FADN), and to produce ‘The annual Danish account statistics for agriculture’. The farm accounts are selected and weighted to be representative for the Danish agricultural sector, and similar samples of farm accounts are collected in most of the European countries. Based on a sample of 2138 farm accounts from year 1999 a national agricultural model, consisting of 31 farm types, was constructed. The farm accounts were grouped according to the major soil types, the number of working hours, the most important enterprise (dairy, pig, different cash crops), livestock density, etc. For each group the farm account data on the average resource use, products sold, land use and herd structure were used to establish a farm type with coherency between livestock production, feed use, land use, yields, imported feed, homegrown feed, manure production, fertilizer use and crop production. The set of farm types was scaled up to national level thus representing the whole Danish agricultural sector and the resulting production, resource use and land use was checked against the national statistics. Nutrient balance methodology and state-of-the-art emission models and factors were used to establish the emissions of nitrate, phosphate, ammonia, nitrous oxide, methane and fossil carbon dioxide from each farm type. In this paper data on resource uses and emissions from selected farm types are presented and it is demonstrated that this approach can lead to an agro-environmental inventory, which is consistent with national level estimates and still has the advantage of being disaggregated to specific farm types. Conventional dairy farm types in general emitted more nitrate but less phosphate compared with pig farm types. The methane emission was higher from dairy farm types compared with all other farm types. In general the conventional dairy farms emitted more nitrate, ammonia, and nitrous oxide, compared with organic dairy farms. # 2006 Elsevier B.V. All rights reserved.
Abstract: Investing in larger barns and increasing herd size are crucial milestones in dairy production. Based on the Swiss FarmAccountancyDataNetwork and data on government-supported investments, we investigate the development of two key variables over the first eight years after investment: change in herd size and calculated profit, that is, farm income minus opportunity costs for family labour and capital. We apply a fixed-effects panel regression and test for autocorrelation present in the time series. Compared to the year before the investment, calculated profit decreases in the first three years, while in the remaining years no significant difference compared to the year before investment can be seen. Herd size increases slowly, predominantly in the second and third years after investment, to some extent explaining the less favourable development of profitability in these years. We conclu- de that investment in a dairy barn does not lead to improved profitability in the short and medium term, pointing to the question of whether this picture changes in the long term.
The Common Agricultural Policy has traditionally provided support to farm incomes via direct payments under the Single Payment Scheme. This article analyzes whether the reform of the SPS will decrease the concentration of direct payments and evaluates the effect of the new direct payment scheme on the redistribution of farm incomes. The decomposition of the Gini coefficient allows analysis of the evolution of farm income and direct payment distributions in Italy from 2014 to 2020, and empirical results based on the Italian FarmAccountancyDataNetwork show that the CAP 2013 reform is expected to decrease the concentration of direct payments. However, the reform is also expected to limit the reduction in farm income inequality due to the adoption of a partial convergence model (the so-called “ tunnel ” model) instead of a total convergence model as well as, more generally, the increasing share of farm income that is dependent on increased market exposure, leading to higher risks of price volatility and increasing pressure on income.