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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
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    Citations

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    Cited by:

    1. Andreas Eder, 2022. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Journal of Productivity Analysis, Springer, vol. 57(2), pages 157-176, April.
    2. Weltin, Meike & Hüttel, Silke, 2019. "Farm eco-efficiency: Can sustainable intensification make the difference?," FORLand Working Papers 10 (2019), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    3. Skevas, Theodoros & Martinez-Palomares, Jorge C., 2023. "Technology heterogeneity and sustainability efficiency: Empirical evidence from Peruvian coffee production," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1192-1200.
    4. Magdalena Kapelko & Alfons Oude Lansink, 2022. "Measuring firms' dynamic inefficiency accounting for corporate social responsibility in the U.S. food and beverage manufacturing industry," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1702-1721, December.
    5. Zhu, Liyun & Schneider, Kevin & Oude Lansink, Alfons, 2023. "Economic, environmental, and social inefficiency assessment of Dutch dairy farms based on the dynamic by-production model," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1134-1145.
    6. Aparicio, Juan & Kapelko, Magdalena & Ortiz, Lidia, 2023. "Enhancing the measurement of firm inefficiency accounting for corporate social responsibility: A dynamic data envelopment analysis fuzzy approach," European Journal of Operational Research, Elsevier, vol. 306(2), pages 986-997.
    7. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    8. Amer Ait Sidhoum, 2023. "Measuring farm productivity under production uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 672-687, October.
    9. Michał Borychowski & Sebastian Stępień & Jan Polcyn & Aleksandra Tošović-Stevanović & Dragan Ćalović & Goran Lalić & Milena Žuža, 2020. "Socio-Economic Determinants of Small Family Farms’ Resilience in Selected Central and Eastern European Countries," Sustainability, MDPI, vol. 12(24), pages 1-30, December.
    10. Guofeng Wang & Ziyu Qian & Xiangzheng Deng, 2020. "Analysis of Environmental Policy and the Performance of Sustainable Agricultural Development in China," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    11. Theodoros Skevas & Ioannis Skevas & Victor E. Cabrera, 2021. "Examining the Relationship between Social Inefficiency and Financial Performance. Evidence from Wisconsin Dairy Farms," Sustainability, MDPI, vol. 13(7), pages 1-14, March.
    12. repec:zbw:inwedp:752021 is not listed on IDEAS
    13. Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.
    14. Andreas Eder, 2021. "Environmental efficiency measurement when producers control pollutants under heterogeneous conditions: a generalization of the materials balance approach," Working Papers 752021, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    15. Bouali Guesmi & Ahmed Yangui & Ibtissem Taghouti & José Maria Gil, 2022. "Trade-Off between Land Use Pattern and Technical Efficiency Performance: Evidence from Arable Crop Farming in Tunisia," Land, MDPI, vol. 12(1), pages 1-13, December.
    16. Lulu Yang & Xu Xiao & Ke Gu, 2021. "Agricultural Waste Recycling Optimization of Family Farms Based on Environmental Management Accounting in Rural China," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    17. Amer Ait Sidhoum & Philipp Mennig & Johannes Sauer, 2023. "Do agri-environment measures help improve environmental and economic efficiency? Evidence from Bavarian dairy farmers," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 50(3), pages 918-953.

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