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International audience ; The Farm Accountancy Data Network (FADN) of the European Union was established with the Council Regulation 79/65, repealed by the Regulation 09/1217. The FADN system gathers accountancy data from farms with the aim of determining their incomes and making business analyses of agricultural holdings possible. Today, FADN fulfils the role of a guideline and reference point for agricultural accounting in Europe, by doing a microeconomic analysis of agricultural activities of different farm types, size and regions. FADN can thus be considered one of the most important sources of statistics available in the European Union. In this work FADN data are used to make a preliminary analysis of technical efficiency between Italian and French dairy farms situated in the Alps. More specifically the comparison is made between Valle d'Aosta and the region of Rhône-Alpes and Provence-Alpes-Côte d'Azur. The evaluation is made in the period 1997-2006 using FADN data. Efficiency scores and ratios are calculated using the non parametric approach of DEA (Data Envelopment Analysis). The samples are selected on the basis of the value of milk output in total output (more than 70%). Results indicates that Italian dairy farms are less efficient on average than French farms with respect the single frontier but are more efficient with respect the common frontier. So, there is an efficiency differential and a productive gap between the two regions. This can be explained considering the different structure of the farms but could be further investigated considering allocative and economic efficiency on the basis of input and output prices. Further investigations will be made to analyse allocative and economic efficiency and to investigate the determinants of the different efficiency scores in both countries. This work is a part of FACEPA project (Farm Accountancy Cost Estimation and Policy Analysis of European Agriculture), funded from the European Community's Seventh Framework Program (FP7/2007-2013). ; Le RICA (Réseau ...

Le RICA (Réseau d'Information Comptable Agricole : Farm Accountancy Data Network en anglais) est la plus importante source d'information comptable micro-économique sur les exploitations agricoles de l'Union Européenne (UE). La collecte des informations concernées est effectuée annuellement, et de façon homogène entre les pays de l'UE. Cela permet de connaître la situation économique de l'agriculture européenne et d'effectuer des comparaisons temporelles et spatiales entre Etats-Membres. Dans cet article le RICA est utilisé pour analyser l'efficacité technique des exploitations laitières de montagne dans les Alpes italiennes et françaises. La comparaison est réalisée entre la Valle d'Aoste (Italie) et cinq départements français situés dans les régions Rhône-Alpes et Provence-Alpes-Côte-d'Azur, sur la période 1997-2006. La méthode utilisée pour calculer l'efficacité technique est la méthode non-paramétrique d'Analyse d'Enveloppement des Données (Data Envelopment Analysis ; DEA). L'efficacité est calculée sous des frontières efficaces séparées pour les deux pays, afin de comparer les deux pays en termes d'utilisation de technologies propres. L'efficacité est ensuite calculée avec un échantillon fusionné sous hypothèse d'une frontière efficace commune, afin d'évaluer le pays présentant une technologie mobilisable plus performante. ; La FADN (Farm Accountancy Data Network) è la più importante fonte di raccolta dei dati contabili delle aziende agricole dell'Unione Europea effettuata a livello microeconomico. La rilevazione, effettuata con cadenza annuale e in maniera omogenea, contiene importanti informazioni finalizzate alla conoscenza della situazione economica dell'agricoltura comunitaria e permette sia confronti temporali che spaziali tra i diversi Stati Membri. Nel presente lavoro la FADN è utilizzata per una analisi preliminare sull'efficienza delle aziende zootecniche della montagna alpina italiana e francese. Il confronto è fatto tra la Valle d'Aosta e il territorio alpino francese limitatamente alle aziende che producono latte per il periodo 1997-2006. La metodologia di indagine utilizzata è quella non parametrica della DEA, accompagnata da un'analisi statistico-descrittiva sulla struttura degli allevamenti nei territori oggetto di studio. L'approccio utilizzato è quello dell'analisi dell'efficienza tecnologica dei due campioni, inizialmente sulla base di una frontiera per ogni campione e in seguito con la costruzione di una meta-frontiera in comune. Una regressione permetterà di isolare le variabili più importanti che influenzano l'efficienza tecnica delle aziende campione. ; The Farm Accountancy Data Network (FADN) of the European Union was established with the Council Regulation 79/65, repealed by the Regulation 09/1217. The FADN system gathers accountancy data from farms with the aim of determining their incomes and making business analyses of agricultural holdings possible. Today, FADN fulfils the role of a guideline and reference point for agricultural accounting in Europe, by doing a microeconomic analysis of agricultural activities of different farm types, size and regions. FADN can thus be considered one of the most important sources of statistics available in the European Union. In this work FADN data are used to make a preliminary analysis of technical efficiency between Italian and French dairy farms situated in the Alps. More specifically the comparison is made between Valle d'Aosta and the region of Rhône-Alpes and Provence-Alpes-Côte d'Azur. The evaluation is made in the period 1997-2006 using FADN data. Efficiency scores and ratios are calculated using the non parametric approach of DEA (Data Envelopment Analysis). The samples are selected on the basis of the value of milk output in total output (more than 70%). Results indicates that Italian dairy farms are less efficient on average than French farms with respect the single frontier but are more efficient with respect the common frontier. So, there is an efficiency differential and a productive gap between the two regions. This can be explained considering the different structure of the farms but could be further investigated considering allocative and economic efficiency on the basis of input and output prices. Further investigations will be made to analyse allocative and economic efficiency and to investigate the determinants of the different efficiency scores in both countries. This work is a part of FACEPA project (Farm Accountancy Cost Estimation and Policy Analysis of European Agriculture), funded from the European Community's Seventh Framework Program (FP7/2007-2013).

In this paper we analyse and compare various efficiency indicators for a number of European Union (EU) countries: Belgium, Estonia, France, Germany, Hungary, Italy, The Netherlands and Sweden. The availability of long period datasets between 1990 and 2006, allow us to concentrate on the long time trends in technical efficiency especially in Old Member States. This study is the first which may provide a comprehensive overview on the development in farm level efficiency across eight European countries. Our main results are the following. Generally, all countries have relatively high levels of mean technical efficiency ranging from 0.72 to 0.92 for both field crops and dairy farms. Interestingly the majority of countries have better performance in dairy sectors in terms of higher levels of mean efficiency than in field crop production. A slightly decreasing trend however may be observed for all countries. Technical Efficiency estimates are largely in line with those obtained by previous studies. Stability analysis revealed that in average 60% of farms maintain their efficiency ranking in two consecutive years, whilst 20% improve and 20% worsen their positions for all countries. However, these ratios slightly fluctuate around these values for one year to next year. Mobility analysis ranks countries according to the mobility of SFA scores within the distribution. Farms in New Member States are more mobile than those in EU15. Total productivity changes are analysed in two steps. First, we do not find a definite trend in total factor productivity changes. Second, we address the question whether total factor productivity changes converge or diverge over time. Using panel unit root tests our estimations reveal a convergence of productivity across old EU member countries during analysed period. Finally, we decompose the total factor productivity changes into its main elements. Field crop farm indicators generally present significantly higher volatility than dairy farms. Random effect panel regression of Total Factor Productivity Change on its components shows Technological Change as being the significant positive driver for crop farms, whilst Technical Efficiency Change followed by Technological Change are the most important for dairy farms. In addition we do not find significant impacts of CAP reforms in 1992 and 2000 on total productivity changes.

International audience ; In this paper we analyse and compare various efficiency indicators for a number of European Union (EU) countries: Belgium, Estonia, France, Germany, Hungary, Italy, The Netherlands and Sweden. The availability of long period datasets between 1990 and 2006, allow us to concentrate on the long time trends in technical efficiency especially in Old Member States. This study is the first which may provide a comprehensive overview on the development in farm level efficiency across eight European countries. Our main results are the following. Generally, all countries have relatively high levels of mean technical efficiency ranging from 0.72 to 0.92 for both field crops and dairy farms. Interestingly the majority of countries have better performance in dairy sectors in terms of higher levels of mean efficiency than in field crop production. A slightly decreasing trend however may be observed for all countries. Technical Efficiency estimates are largely in line with those obtained by previous studies. Stability analysis revealed that in average 60% of farms maintain their efficiency ranking in two consecutive years, whilst 20% improve and 20% worsen their positions for all countries. However, these ratios slightly fluctuate around these values for one year to next year. Mobility analysis ranks countries according to the mobility of SFA scores within the distribution. Farms in New Member States are more mobile than those in EU15. Total productivity changes are analysed in two steps. First, we do not find a definite trend in total factor productivity changes. Second, we address the question whether total factor productivity changes converge or diverge over time. Using panel unit root tests our estimations reveal a convergence of productivity across old EU member countries during analysed period. Finally, we decompose the total factor productivity changes into its main elements. Field crop farm indicators generally present significantly higher volatility than dairy farms. Random effect panel ...