Suchergebnisse

International audience ; For more than 20 years, French animal scientists studying livestock farming systems have been interested in the question of work organization in livestock farms and they developed the Work Assessment method to characterize and assess it. Widely used since then in France, and in other countries too, this method quantifies work related to the management of herds and land areas, and evaluates the farmer's room for maneuver in terms of time to carry out other activities on the farm and to have free time. The purpose of this paper is to show the interest of the Work Assessment method, illustrating with examples from the application of the method in 6 countries in the North and South (France, Belgium, Vietnam, Morocco, Uruguay and Brazil), how it characterizes and assesses work organization; how it identifies the main determinants of organization, produces references in working times by major types of production system and provides analyses for the advice and guidance of livestock farmers. By identifying forms of work organization, the method shows that the farmers' strategies are not only technical and economic but also integrate parameters relative to work (productivity, working together, freeing up time for other activities, including private activities…). Its use in very different contexts in France where it was developed, underlines its ability to adapt to different livestock farming contexts, and to different contexts of use too, such as research and advice.

Social performance is the pillar of sustainability that is the most often neglected, compared to the evaluation of environmental and economic performances of farming systems. Farmers' working conditions are rarely studied. To understand farmers' working conditions and to assess them, it is necessary to develop a multicriteria approach including not only quantifiable dimensions (e.g., the length of working days) but also dimensions that can explain how working conditions are experienced by workers (e.g., by understanding farmer's reasons for acting). Multiple factors contribute to determine farmers' working conditions such as the composition of the workforce, the region, but also the degree of uptake of ecological practices. This deliverable contributes to knowledge on this issue, explaining the work carried out in task 3.3 of the LIFT project. The main objectives of task 3.3 were: i) to describe farmers' and farm workers' working conditions in different farming systems characterised by different degrees of uptake or ecological practices and; ii) to identify factors explaining these working conditions (degree of uptake of ecological practices, workforce composition, country, etc.). To achieve these objectives, a set of indicators on working conditions was selected in a two-step approach: firstly, a theoretical basis from the literature, and, secondly, expert knowledge in the LIFT partners. Primary data was collected during interviews with 160 farmers in five European Union (EU) regions (Brittany in France, Puy-de-Dôme in France, Crete in Greece, Ireland, Salzburg area in Austria, Umgebung Steyr-Kirchdorf in Austria). Statistical analysis was conducted to describe the diversity of indicators (working conditions, workforce composition and farm structure) within the whole sample and in the different case study areas. A principal component analysis (PCA) was carried out on working condition indicators, using farms with complete data (123 farms). Farm characteristics and workforce composition indicators were shown on ...

Depuis le milieu des années 2000, l'élevage fait l'objet de vifs débats en raison de ses impacts sur le climat et l'environnement, accentués par la hausse de la consommation mondiale en viandes et produits laitiers. Les impacts et services issus des élevages sont ici étudiés à l'échelle de l'Europe, en examinant leurs effets sur les marchés, l'emploi et le travail, la consommation d'intrants, l'environnement et le climat, ainsi que les enjeux sociaux et culturels associés à l'élevage. Puis les interactions entre ces volets ou " bouquets de services " sont analysées simultanément. Ces bouquets sont déclinés dans une typologie et cartographiés selon six classes de territoires d'élevage européens à partir de deux critères : la densité en animaux et la part de prairies permanentes dans le paysage agricole. Cet ouvrage reprend les enseignements d'une expertise scientifique collective conduite par 26 experts de disciplines scientifiques complémentaires et coordonnée par l'Inra, réalisée à la demande conjointe des ministères en charge de l'Environnement et de l'Agriculture, et de l'Ademe.

This questionnaire is for the survey to farmers that is to be carried out in the LIFT project, to at least 1,500 farms across the European Union (EU) in the LIFT case study areas. The LIFT large-scale farmer survey represents a key task that provides value added to the LIFT project and informs EU policy anal-ysis as a whole. The innovation is that it collects primary qualitative and quantitative data at the farm level, but also that data will be comparable across a large geographical area, across different produc-tion sectors, as well as across different farming practices/systems. The survey aims at collecting infor-mation that is not available in existing data sources, and that will be used in the analyses of the project.

In light of the ambitions of the European Union (EU) to achieve an ecological transition of its agricultural sector it is crucial to assess and continuously monitor (i) the uptake of main ecological approaches by farms and (ii) associated effects on farm performance, considering all sustainability dimensions (economic, environmental, social) jointly. Given these needs, in the present deliverable D5.1 of the LIFT project, we develop a novel indicator system, which combines the LIFT farm typology and farm performance data, covering all sustainability dimensions. The approach compares performance of farms in five ecological groups (referred to as ecological farming approaches or ecological farming systems) from the LIFT farm typology (Conservation Agriculture, Low-Input farming, Integrated/Circular farming, Organic farming, Agroecology) as well as possible combinations of these groups with a less ecological group, referred to as Standard farming. This allows us to depict whether ecological farms perform differently or have different trade-offs and synergies than standard farms. Based on this system, we carry out a farm sustainability performance assessment with the two main data sources in the LIFT project, namely Farm Accountancy Data Network (FADN) data and data from the LIFT large-scale farmer survey, covering main farm types present in the European Union (EU) in several case study regions/countries. Additionally, we present in-depth analyses of further specific aspects, namely (i) the extension of the developed indicator framework to bio-economic models, (ii) the integration of the consumption and provision of ecosystem services into the developed indicator system through composite agri-environmental performance (AEP) indicators, derived from the body of secondary literature and region-specific stakeholder input, and (iii) working conditions and employment on farms in the context of an ecological transition. Overall, our results show the importance of considering trade-offs and synergies both within and between ...