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Modelling the trade‐offs between farm income and the reduction of erosion and nitrate pollution

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  • M. Mimouni
  • S. Zekri
  • G. Flichman

Abstract

Water is a very limited resource in Tunisia, both in quantity and in quality. Problems of quality are related to urban, industrial and agricultural activity. Erosion is causing dams to silt up and is leading to phosphorus accumulation in water. The use of agrochemicals, primarily nitrogen and phosphorus, is causing problems of eutrophication. This paper presents the results of a study of sediment and nitrate pollution. The methodology used is based on the EPIC simulation model and a multi‐objective programming model (MOPM). The data generated by EPIC are input for the MOPM together with the economic variables. These tools are applied to a 486 ha farm located in northern Tunisia which includes an irrigated area of 300 ha. The study considers three objectives: maximization of gross margin, minimization of erosion, and minimization of nitrate losses. The non‐inferior set estimation method is implemented to generate the trade‐off curves between the objectives. Results show that nitrate losses are important for both rainfed and irrigated land. The same conclusion is valid for erosion. It is shown that the farmer can reduce the environmental burden without decreasing gross margin, since he is operating below the efficiency curve. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • M. Mimouni & S. Zekri & G. Flichman, 2000. "Modelling the trade‐offs between farm income and the reduction of erosion and nitrate pollution," Annals of Operations Research, Springer, vol. 94(1), pages 91-103, January.
    • Handle: RePEc:spr:annopr:v:94:y:2000:i:1:p:91-103:10.1023/a:1018941805656
    DOI: 10.1023/A:1018941805656
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    Citations

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    Cited by:

    1. Gongbing Bi & Yan Luo & Jingjing Ding & Liang Liang, 2015. "Environmental performance analysis of Chinese industry from a slacks-based perspective," Annals of Operations Research, Springer, vol. 228(1), pages 65-80, May.
    2. Guillermo Flichman & Florence Jacquet, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Post-Print hal-01201042, HAL.
    3. Flichman, Guillermo & Jacquet, Florence, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 67.
    4. J.C.J. Groot & W.H.A. Rossing & M. Tichit & N. Turpin & A. Jellema & J. Baudry & P.H. Verburg & L. Doyen & G.W.J. van de Ven, 2009. "On the contribution of modelling to multifunctional agriculture: Learning from comparisons," Post-Print hal-00455433, HAL.
    5. Çağatay Yıldırım & Hatice Türkten & Vedat Ceyhan & Ela Atış & Mehmet Hasdemir & H. Ece Salalı & Yarkın Akyüz & Figen Güngör, 2021. "Exploring opportunity cost of conversion to eco-friendly farming system: the case of Samsun and Adana provinces of Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1447-1460, February.
    6. Marius Rădulescu & Constanta Rădulescu & Gheorghiţă Zbăganu, 2014. "A portfolio theory approach to crop planning under environmental constraints," Annals of Operations Research, Springer, vol. 219(1), pages 243-264, August.
    7. Guillermo Flichman & Florence Jacquet, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 67, pages 51-69.

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