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Estimer les impacts environnementaux des systèmes de production agricole par analyse de cycle de vie avec les données du Réseau d’information comptable agricole (RICA) français

Author

Listed:
  • Elisabeth Samson

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRA - Institut National de la Recherche Agronomique - AGROCAMPUS OUEST)

  • Hayo van Der Werf

    (SAS - Sol Agro et hydrosystème Spatialisation - INRA - Institut National de la Recherche Agronomique - AGROCAMPUS OUEST)

  • Pierre Dupraz

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRA - Institut National de la Recherche Agronomique - AGROCAMPUS OUEST)

  • Jean-François Ruas

    (MAAPAR - Ministère de l'Agriculture de l'Alimentation de la Pêche et des Affaires Rurales)

  • Michael S. Corson

    (SAS - Sol Agro et hydrosystème Spatialisation - INRA - Institut National de la Recherche Agronomique - AGROCAMPUS OUEST)

Abstract

This work developed environmental indicators from the economic and agricultural database of Farm Accountancy Data Network (FADN). Two environmental impacts, climate change and non-renewable energy use, were estimated from the database according to the life cycle assessment (LCA) approach. The large variability observed seems to be linked to production orientation and geographic location. Livestock production was strongly correlated with the impact of climate change, particularly cattle production, due to its high emissions of enteric methane. Farms specialized in cereals and cash crops showed high non-renewable energy use, linked with intensive use of mineral fertilizers. Some mixed farm holdings, whether livestock-oriented or crop- and livestock-oriented, had impacts similar to those of the specialized farming system which each of them resembled most. Impacts varied according to geographic location in France. For farms specialized in cereals or dairy production, direct greenhouse gas emissions and indirect energy consumption predominated. Impacts for specialized dairy farms varied greatly per unit of agricultural area (hectares) but less per 1,000 euros of revenue. In contrast, impact variability for specialized cereal farms was lower per hectare but considerably greater per 1,000 euros. Continuing the study will be useful for improving methods and results of these farming systems. It will also be interesting to consider more detailed methods to understand mixed crop-livestock farms, as these systems are widespread.

Suggested Citation

  • Elisabeth Samson & Hayo van Der Werf & Pierre Dupraz & Jean-François Ruas & Michael S. Corson, 2012. "Estimer les impacts environnementaux des systèmes de production agricole par analyse de cycle de vie avec les données du Réseau d’information comptable agricole (RICA) français," Post-Print hal-01208813, HAL.
  • Handle: RePEc:hal:journl:hal-01208813
    DOI: 10.1684/agr.2012.0581
    Note: View the original document on HAL open archive server: https://hal.science/hal-01208813
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    Citations

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    Cited by:

    1. Claudio Liberati & Concetta Cardillo & Antonella Di Fonzo, 2021. "Sustainability and competitiveness in farms: An evidence of Lazio region agriculture through FADN data analysis," Economia agro-alimentare, FrancoAngeli Editore, vol. 23(3), pages 1-22.
    2. Kirsch, Alessandra & Kroll, Jean-Christophe & Trouve, Aurelie, 2017. "Aides directes et environnement : la politique agricole commune en question," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 359(May-June).
    3. Pradeleix, L. & Roux, P. & Bouarfa, S. & Bellon-Maurel, V., 2022. "Multilevel environmental assessment of regional farming activities with Life Cycle Assessment: Tackling data scarcity and farm diversity with Life Cycle Inventories based on Agrarian System Diagnosis," Agricultural Systems, Elsevier, vol. 196(C).

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