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Un modèle bio-économique pour analyser l'impact de la politique de conservation des eaux et du sol. [Le cas d'une exploitation agricole tunisienne]

Author

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  • Kamel Louhichi
  • Guillermo Flichman
  • Slim Zekri

Abstract

[fre] Le présent travail appliqué à la Tunisie, part d'un double constat relatif, d'une part, à la gravité de l'érosion et, d'autre part, à l'importance des dépenses publiques en matière de conservation des eaux et du sol visant à atténuer ce phénomène. La contradiction de ce double constat et la divergence des résultats obtenus par l'adoption de ces aménagements de conservation constituent le déterminant principal pour la remise en cause de l'efficacité de cette intervention publique. L'évaluation quantitative de l'impact de ces aménagements sur le rendement, le système de production et par là sur la rentabilité des capitaux investis ainsi que sur l'érosion constituent, donc, l'objectif primordial de ce travail. L'approche bio-économique qui couple l'emploi d'un simulateur biophysique à un modèle d'optimisation économique est avancée comme une meilleure méthode pour juger cette efficacité. [eng] A bio-economic model for analysing the impact of soil and water conservation policies applied to a tunisian farm . The present study applied on a big farm in Tunisia, based on a double observation relative to the gravity of the erosion and, on the other hand, the importance of public expenditures for water and soil conservation aiming to lessen this phenomenon. The divergence of results obtained by the adoption of conservation techniques constitutes the principal reason for questioning of this public intervention. The quantitative evaluation of the impact of these conservation on yield, the farming system and on the profitability of capital invested as well as on the erosion constitutes, there fore, the essential objective of this study. The bio-economic approach combining the use of a biophysical simulator and an economic optimization model is proposed as method to judge this efficiency.

Suggested Citation

  • Kamel Louhichi & Guillermo Flichman & Slim Zekri, 1999. "Un modèle bio-économique pour analyser l'impact de la politique de conservation des eaux et du sol. [Le cas d'une exploitation agricole tunisienne]," Économie rurale, Programme National Persée, vol. 252(1), pages 55-64.
  • Handle: RePEc:prs:recoru:ecoru_0013-0559_1999_num_252_1_5101
    DOI: 10.3406/ecoru.1999.5101
    Note: DOI:10.3406/ecoru.1999.5101
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    Cited by:

    1. Guillermo Flichman & Florence Jacquet, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Post-Print hal-01201042, HAL.
    2. Aidam, Patricia Woedem, 2015. "The impact of water-pricing policy on the demand for water resources by farmers in Ghana," Agricultural Water Management, Elsevier, vol. 158(C), pages 10-16.
    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. Veysset, P. & Lherm, M. & Bébin, D., 2010. "Energy consumption, greenhouse gas emissions and economic performance assessments in French Charolais suckler cattle farms: Model-based analysis and forecasts," Agricultural Systems, Elsevier, vol. 103(1), pages 41-50, January.
    5. Semaan, Josephine & Flichman, Guillermo & Scardigno, Alessandra & Steduto, Pasquale, 2007. "Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach," Agricultural Systems, Elsevier, vol. 94(2), pages 357-367, May.
    6. Janssen, Sander J.C. & van Ittersum, Martin K., 2007. "Assessing farmer behaviour as affected by policy and technological innovations: bio-economic farm models," Reports 9293, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    7. Issanchou, Alice, 2016. "Soil resource, at the core of competitiveness and sustainability issues in agriculture: an economic approach," Working Papers 230002, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    8. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    9. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    10. Kamel Louhichi & Guillermo Flichman & Jean Boisson, 2010. "Bio-economic modelling of soil erosion externalities and policy options: a Tunisian case study," Journal of Bioeconomics, Springer, vol. 12(2), pages 145-167, July.
    11. Goetz, Renan-Ulrich & Keusch, Alois, 2002. "The Optimal Intertemporal Management of the Soil and Phosphorus and the Equilibrium in Economic and Biophysical Models," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24783, European Association of Agricultural Economists.
    12. Chebil, A. & Frija, A. & Thabet, C., 2012. "Irrigation water pricing between governmental policies and farmers’ perception: Implications for green-houses horticultural production in Teboulba (Tunisia)," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 11(2), pages 1-11.
    13. Alice Issanchou, 2016. "Soil resource, at the core of competitiveness and sustainability issues in agriculture: an economic approach," Working Papers SMART 16-01, INRAE UMR SMART.
    14. 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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