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Mapas de ayuda para América Latina y el Caribe

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  • Sergio Tezanos Vázquez

    (Departamento de Economía - Universidad de Cantabria)

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    Abstract

    ¿Cómo debería trazarse el mapa óptimo de distribución de la ayuda internacional? ¿De manera que contribuya a maximizar la reducción de la pobreza global, o tratando de igualar las oportunidades de todos los países de reducir la pobreza? Esta ponencia profundiza en el debate «normativo» sobre la asignación geográfica de la ayuda y propone escenarios alternativos de distribución para una región concreta del mundo en desarrollo: América Latina y el Caribe. Se especifican dos modelos distributivos contrapuestos, uno basado en el paradigma utilitarista (que maximiza la reducción de la pobreza regional hasta el año 2015) y otro basado en el paradigma de la igualdad de oportunidades (que iguala las oportunidades de los países socios de reducir la pobreza). Finalmente, discutimos las implicaciones de uno y otro mapa, y defendemos la necesidad de definir un mapa estratégico de asignación para América Latina y el Caribe realmente eficiente y equitativo, acorde al escenario regional de dispares ritmos de reducción de la pobreza, oportunidades de desarrollo y esfuerzos políticos.

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    File URL: http://halshs.archives-ouvertes.fr/docs/00/53/27/98/PDF/AT20_Tezanos.pdf
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    Bibliographic Info

    Paper provided by HAL in its series Post-Print with number halshs-00532798.

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    Date of creation: 2010
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    Publication status: Published - Presented, XIV Encuentro de Latinoamericanistas Españoles : congreso internacional, 2010, Santiago de Compostela, Spain
    Handle: RePEc:hal:journl:halshs-00532798

    Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00532798/en/
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    Web page: http://hal.archives-ouvertes.fr/

    Related research

    Keywords: América Latina y Caribe; Cooperación internacional; Ayuda al desarrollo; Modelos distributivos; Distribución geográfica;

    This paper has been announced in the following NEP Reports:

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