Farm Accountancy Data Network

III Results Breakdown % by division of returning holdings categorized according to the level of labour income per ALU total sample Breakdown .00 of returning holdings according to the le[r]

Whereas, in order to ohtain meaningful results for each category of holding, a minimum number of returning holdings per category should be laid down; Whereas the figure of ten thousand r[r]

Dispersion régionale des revenus du travail par U,T,A, pour certaines classes d'exploitations représentées dans plus de la moitié des circonscriptions, "1968" - "1969" - "1970" revenu a.[r]

brutscheptel mort Fonds propres Endettement Capitaux totaux Capltaux fixes% total Capitaux variables % tot Valeur Ajoutee Nette/UTA Revenu dExp.. Fami 1./UTF Revenu dexpi.Famll ial 18653[r]

at I money values In ecu toutes valeurs monetaires en ecu FADN FARM ACCOUNTS RESULTS 1986/87 - LEVEL 2 - BY LESS-FAVOURED AREAS RICA RESULTATS COMPTABLES 1986/87 - NIVEAU 2 -PAR ZONES DE[r]

Having regard to Council Regulation No 79/65/EEC of 15 June 1965 setting up a network for the collec­ tion of accountancy data on the incomes and business operation of agricultural holdi[r]

Having regard to Council Regulation No 79/65/EEC of 15 June 1965 setting up a network for the collection of accountancy data on the incomes and business operation of agricultural holding[r]

LI/ALU increased on most types of holding in the United Kingdom sample, the indices ranging from 96 for "grazing stock- arable" ,_50 ha" to 133 for "cattle -beef, 20- 50 ha"• There was a[r]

TOTAL OF STANDARD GROSS MARGINS IN EACH SIZE CLASS 2.1 SHARES OF FARMS REPRESENTED IN EACH DECILE, BY MEMBER STATE SHARES OF EACH MEMBER STATE'S FARMS IN EACH EUR DECILE 21 21 2.2 QUINTI[r]

The following are the types of crops and their corresponding codes Ei~ld-~cal~ ,rqp~ including fresh vegetables, melons grown in the open in rotation with agricultural crops : and strawb[r]

revenus concernant les groupes d'exploitations allemands sont minorés quant à"eux également mais dèpuis le ler'janvier 1970, d~un montànt légèrement inférieur à 3 1~ du produit brut corr[r]

SOURCE: FADN WEIGHTED ON THE BASIS OF THE 1975 FARM STRUCTURE SURVEY RESULTS FOR SIZE WITH LESS THAN 10 SAMPLE HOLDINGS ARE NOT SHOWN BUT ARE INCLUDED IN "All 1 RESULTS DO NOT INCLUDE FA[r]

2 NUMBER OF HOLDINGS IN THE FADN SAMPLE Number of holdings in the FADN sample 3 ECONOMIC SIZE European size units Sum of Standard Gross Margin SGM 1972/74 in 1000 ECU 4 LABOUR INPUT Annu[r]

SOURCE: FADN IWEISHTED ON THE BASIS OF THE 1975 FARtt STRUCTURE SURVEY NB: FOR DEUTSCHLAND, FRANCE, BELGIEIBELGIQUE, LUXEHBOURG, NEDERLAND, THE UNITED KINGDOtt EXCEPT NORTHERN IRELAND, ~[r]

Every year a sample of farm accounts is established in order to report Danish agro-economical data to the ‘Farm Accountancy Data Network’ (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.

Contents I — Economic situation and farm incomes Overview Production levels Prices Input prices Farm incomes Farm accountancy data network FADN Farm incomes Income by type of farming 9 9[r]

05 08 01 Farm Accountancy Data Network FADN Restructuring of systems for agricultural surveys Enhancing public awareness of the common 05 08 06 agricultural policy European Agricultural [r]

Contents — Economic situation and farm incomes 9 Overview 9 Production levels 10 Prices 12 Input prices 14 Changes in farm incomes 14 Farm accountancy data network FADN Farm incomes Inco[r]

Abstract: Investing in larger barns and increasing herd size are crucial milestones in dairy production. Based on  the  Swiss Farm Accountancy Data Network 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 Farm Accountancy Data Network 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.