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Contractualisation et diffusion spatiale des mesures agro-environnementales herbagères

Author

Listed:
  • Gilles Allaire

    (Observatoire des programmes communautaires de développement rural, INRA Toulouse, chemin de Borde-Rouge, BP 52627, 31326 Auzeville)

  • Eric Cahuzac

    (Observatoire des programmes communautaires de développement rural, INRA Toulouse)

  • Michel Simioni

    (Toulouse School of Economics, GREMAQ-INRA, Toulouse)

Abstract

Cet article propose une analyse de la contractualisation des mesures agro-environnementales herbagères par les éleveurs et de la diffusion géographique du processus de contractualisation. Les données individuelles mobilisées sont géo-référencées et concernent l'ensemble des éleveurs de bovins ou ovins/caprins français bénéficiant d'au moins une mesure PAC du premier pilier et ayant contracté ou non une telle mesure. Une base de données territorialisées de contexte (Observatoire des programmes communautaires de développement rural) est utilisée pour compléter l'information. Dans une première étape, les résultats provenant de l'estimation de modèles probit sur ces données individuelles montrent que l'introduction de variables de contexte en complément des caractéristiques individuelles permet d'obtenir une bonne prédiction des taux de contractualisation à un niveau géographique fin (infra-cantonal). Dans une deuxième étape, la localisation des individus est prise en compte au travers d'un effet de voisinage dans un modèle probit spatial. Les résultats montrent que les effets de proximité spatiale dus à la diversité géographique des systèmes de production et aux réseaux sociaux s'expriment essentiellement au niveau de la commune et de micro-zones (infra-cantonales).

Suggested Citation

  • Gilles Allaire & Eric Cahuzac & Michel Simioni, 2009. "Contractualisation et diffusion spatiale des mesures agro-environnementales herbagères," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 90(1), pages 23-50.
    • Handle: RePEc:rae:jourae:v:90:y:2009:i:1:p:23-50
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Philippe Le Coent & Raphaële Preget & Sophie S. Thoyer, 2018. "Do farmers follow the herd? The influence of social norms in the participation to agri-environmental schemes," Working Papers halshs-01936004, HAL.
    2. Calvet, Coralie & Le Coent, Philippe & Napoleone, Claude & Quétier, Fabien, 2019. "Challenges of achieving biodiversity offset outcomes through agri-environmental schemes: Evidence from an empirical study in Southern France," Ecological Economics, Elsevier, vol. 163(C), pages 113-125.
    3. Kuhfuss, Laure & Jacquet, Florence, 2012. "Le dispositif des MAEt pour l’enjeu eau : une fausse bonne idée ?," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 93(4).
    4. Philippe Le Coent & Raphaële Préget & Sophie Thoyer, 2016. "Do social norms influence farmers’ participation in agri-environmental schemes?," Post-Print hal-02743066, HAL.
    5. Philippe Le Coent & Raphaële Préget & Sophie Thoyer, 2018. "Do farmers follow the herd? The influence of social norms in the participation to agri-environmental schemes," Working Papers hal-02791014, HAL.
    6. Anne GASSIAT & Sylvain ROUSSET & Frèdèric ZAHM, 2011. "Improving water quality with a territorial agro-environmental policy? Insights from the new generation AES in South-West France," ERSA conference papers ersa10p1569, European Regional Science Association.
    7. Philippe Coent & Raphaële Préget & Sophie Thoyer, 2021. "Farmers Follow the Herd: A Theoretical Model on Social Norms and Payments for Environmental Services," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(2), pages 287-306, February.
    8. Marie Dervillé & Gilles Allaire & Élise Maigné & Éric Cahuzac, 2017. "Internal and contextual drivers of dairy restructuring: evidence from French mountainous areas and post†quota prospects," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 91-103, January.

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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