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La culture attelée dans le bassin cotonnier en Côte d'Ivoire : Analyse et modélisation des impacts d'un programme de relance de la culture attelée

Author

Listed:
  • Pascal Tillie

    (IPTS - JRC Institute for Prospective Technological Studies - JRC - European Commission - Joint Research Centre [Seville])

  • Kamel Louhichi

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech, IPTS - JRC Institute for Prospective Technological Studies - JRC - European Commission - Joint Research Centre [Seville])

  • Sergio Gómez y Paloma

    (IPTS - JRC Institute for Prospective Technological Studies - JRC - European Commission - Joint Research Centre [Seville])

Abstract

En Côte d'Ivoire, le secteur cotonnier a particulièrement souffert au cours des années 2000, en raison de la crise militaro-politique ouverte en Septembre 2002, d'un contexte socio-économique dégradé et d'une importante chute du cours international du coton. De nombreux producteurs ont alors abandonné la culture du coton et la production nationale a été divisée par trois au plus fort de la crise. Cette situation a incité l'Union Européenne, à travers sa Délégation en Côte d'Ivoire, à soutenir la recapitalisation des producteurs via divers projets d'appui à la filière, notamment le "Projet de Relance de la Culture Attelée" (PRCA). Grâce également à un contexte international bien plus favorable, la situation de la filière coton est redevenue bien meilleure. L'objectif de ce rapport est double : (1) apporter des éléments objectifs sur la situation actuelle du bassin cotonnier ivoirien, en se fondant sur les résultats d'une enquête réalisée en 2016 auprès de 1400 producteurs, et (2) réaliser une évaluation des impacts de ce programme sur la superficie et la production de coton ainsi que sur la viabilité des exploitations cotonnières, à l'aide d'un outil de modélisation micro-économique du comportement des producteurs de coton.

Suggested Citation

  • Pascal Tillie & Kamel Louhichi & Sergio Gómez y Paloma, 2018. "La culture attelée dans le bassin cotonnier en Côte d'Ivoire : Analyse et modélisation des impacts d'un programme de relance de la culture attelée," Working Papers hal-02790377, HAL.
    • Handle: RePEc:hal:wpaper:hal-02790377
    DOI: 10.2760/505527
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    1. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    2. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    3. Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
    4. Pierre Mérel & Santiago Bucaram, 2010. "Exact calibration of programming models of agricultural supply against exogenous supply elasticities," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(3), pages 395-418, September.
    5. Pierre Mérel & Leo K. Simon & Fujin Yi, 2011. "A Fully Calibrated Generalized Constant-Elasticity-of-Substitution Programming Model of Agricultural Supply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 936-948.
    6. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    7. Bruno Henry Frahan & Jeroen Buysse & Philippe Polomé & Bruno Fernagut & Olivier Harmignie & Ludwig Lauwers & Guido Huylenbroeck & Jef Meensel, 2007. "Positive Mathematical Programming for Agricultural and Environmental Policy Analysis: Review and Practice," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 129-154, Springer.
    8. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    9. David Tschirley & Colin Poulton & Patrick Labaste, 2009. "Organization and Performance of Cotton Sectors in Africa : Learning from Reform Experience," World Bank Publications - Books, The World Bank Group, number 2604, December.
    10. Louhichi, Kamel & Kanellopoulos, Argyris & Janssen, Sander & Flichman, Guillermo & Blanco, Maria & Hengsdijk, Huib & Heckelei, Thomas & Berentsen, Paul & Lansink, Alfons Oude & Ittersum, Martin Van, 2010. "FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies," Agricultural Systems, Elsevier, vol. 103(8), pages 585-597, October.
    11. Louhichi, Kamel & Gomez y Paloma, Sergio, 2014. "A farm household model for agri-food policy analysis in developing countries: Application to smallholder farmers in Sierra Leone," Food Policy, Elsevier, vol. 45(C), pages 1-13.
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    Cited by:

    1. Kamel Louhichi & Umed Temursho & Liesbeth Colen & Sergio Gomez y Paloma, 2019. "Upscaling the productivity performance of the Agricultural Commercialization Cluster Initiative in Ethiopia [Élargissement des performance de productivité de l'Initiative des grappes de Commerciali," Working Papers hal-02790390, HAL.
    2. Aymeric Ricome & Kamel Louhichi & Sergio Gomez y Paloma, 2020. "Impacts of agricultural produce cess (tax) reform options in Tanzania [Impacts des options de réforme des taxes sur les produits agricoles en Tanzanie]," Working Papers hal-02535711, HAL.

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    More about this item

    Keywords

    secteur coton; culture attelée; modélisation économique; Côte d'Ivoire;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • N57 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Africa; Oceania
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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