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Measuring sustainability efficiency at farm level: a data envelopment analysis approach

Author

Listed:
  • Amer Ait Sidhoum

    (CREDA - CREDA - Centre de Recerca en Economia i Desenvolupament Agroalimentaris)

  • Teresa Serra

    (UIUC - University of Illinois at Urbana-Champaign [Urbana] - University of Illinois System)

  • Laure Latruffe

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - INSTITUT AGRO Agrocampus Ouest - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

Abstract

Sound implementation of sustainability practices requires appropriate tools to measure farms' successes in achieving policy goals. This paper models farms' stochastic production technology as the interaction of three main types of sub-technologies that govern, respectively, the production of agricultural commodities, environmental (nitrogen and pesticide) pollution and social outputs of agricultural activities. The model is empirically implemented through a Data Envelopment Analysis (DEA) model accounting for production risk through a state-contingent approach. The application for Catalan arable crop farms shows that, on average, farms display high technical and social performance and relatively poor environmental performance.

Suggested Citation

  • Amer Ait Sidhoum & Teresa Serra & Laure Latruffe, 2020. "Measuring sustainability efficiency at farm level: a data envelopment analysis approach," Post-Print hal-02154518, HAL.
    • Handle: RePEc:hal:journl:hal-02154518
    DOI: 10.1093/erae/jbz015
    as

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