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Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France
[Modélisation de technologies hétérogènes en présence d'une sélection d'échantillon : le cas des exploitations laitières et de l'adoption des programmes agro-environnementaux en France]

Author

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  • K Hervé Dakpo

    (ECO-PUB - Economie Publique - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich])

  • Laure Latruffe

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique, BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Yann Desjeux

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique, BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Philippe Jeanneaux

    (Territoires - Territoires - AgroParisTech - VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UCA - Université Clermont Auvergne)

Abstract

In this article, we assess farms' technical efficiency accounting for their production heterogeneity and correcting for the potential endogeneity associated with the adoption of Common Agricultural Policy (CAP) agri-environmental schemes (AESs). We estimate a first-step selection probit model. In a second step we estimate the latent class stochastic frontier model (LCSFM) separately on each of the two sub-samples, the AESs adopters and the AESs non-adopters. We also account for heteroscedasticity in the estimation of inefficiency effects in the LCSFM within each sub-sample. The application is to Farm Accountancy Data Network (FADN) dairy farms in France during 2002–2016. We identify one class with intensive technology and one class with extensive technology for each of the two sub-samples. The investigation of inefficiency effects shows that modeling production heterogeneity could help better target the CAP, since the relationship between operational subsidies and farms' efficiency differs depending on whether or not production heterogeneity is accounted for.

Suggested Citation

  • K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France [Modélisation de technologies hétérogènes e," Post-Print hal-03516608, HAL.
    • Handle: RePEc:hal:journl:hal-03516608
    DOI: 10.1111/agec.12683
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03516608
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    2. Mariarosaria Agostino & Ercan Enzo Comert & Federica Demaria & Sabrina Ruberto, 2024. "What kinds of subsidies affect technical efficiency? The case of Italian dairy farms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 116-138, January.
    3. Laure Latruffe & Andreas Niedermayr & Yann Desjeux & K Herve Dakpo & Kassoum Ayouba & Lena Schaller & Jochen Kantelhardt & Yan Jin & Kevin Kilcline & Mary Ryan & Cathal O’Donoghue, 2023. "Identifying and assessing intensive and extensive technologies in European dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1482-1519.
    4. Gerling, Charlotte & Drechsler, Martin & Keuler, Klaus & Sturm, Astrid & Wätzold, Frank, 2022. "Time to consider the timing of conservation measures: designing cost-effective agri-environment schemes under climate change," MPRA Paper 113877, University Library of Munich, Germany.

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