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Une méta-analyse de l’impact des subventions sur le prix mondial du coton

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  • David Guerreiro

Abstract

Malgré le nombre relativement important d'études sur les impacts des subventions sur le prix mondial du coton, il n’existe pas de consensus concernant la quantification de ces effets. L'objectif de cet article est, par le biais de la méta-analyse, d'expliquer la source de l'hétérogénéité de ces résultats, de donner des indications quant aux variables à inclure afin de modéliser la dynamique du prix mondial, mais aussi de présenter le chiffrage des effets des subventions qu'apporte notre méta-analyse. Nous montrons que les principales sources de variations entre les études se trouvent dans les valeurs retenues pour les élasticités de l’offre et la demande, dans le montant retenu pour les subventions, ainsi que dans la prise en compte (ou non) de certains caractères indispensables. Une modélisation appropriée requiert ainsi une estimation précise des élasticités et la prise en compte de certains facteurs constitutifs du prix mondial du coton tels que les niveaux de stocks ou le prix du polyester.

Suggested Citation

  • David Guerreiro, 2009. "Une méta-analyse de l’impact des subventions sur le prix mondial du coton," EconomiX Working Papers 2009-44, University of Paris Nanterre, EconomiX.
  • Handle: RePEc:drm:wpaper:2009-44
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    References listed on IDEAS

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    More about this item

    Keywords

    Meta-regression analysis (MRA); cotton; subsidies; agriculture.;
    All these keywords.

    JEL classification:

    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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