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Peru. Selecting beneficiaries for assistance programmes.

J Arnauld, F Sizaret, J Muñoz-Porras

    Food and Nutrition
    |January 1, 1983
    PubMed
    Summary
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    A statistical method helps food aid programs identify and reach the most vulnerable populations. This approach improves beneficiary selection and project evaluation for food assistance initiatives.

    Area of Science:

    • Food security and public health interventions.
    • Socioeconomic analysis of aid distribution.
    • Statistical modeling for social programs.

    Background:

    • Food aid programs frequently face criticism for failing to reach intended recipients.
    • Identifying and selecting beneficiaries based on need presents significant challenges.
    • Effective targeting is crucial for the success of food assistance initiatives.

    Purpose of the Study:

    • To address the challenge of beneficiary selection in food aid programs.
    • To introduce a statistical approach for improving aid distribution.
    • To provide a framework for evaluating food aid project effectiveness.

    Main Methods:

    • Development of a novel statistical methodology.
    • Application of the statistical approach in Peru.

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  • Objective criteria-based beneficiary selection and project evaluation.

    • Main Results:

    • The statistical approach offers a quantifiable method for beneficiary selection.
    • The methodology facilitates objective evaluation of food aid projects.
    • Successful implementation demonstrated in the Peruvian context.

    Conclusions:

    • The developed statistical approach can enhance the efficiency of food aid programs.
    • Objective criteria improve the targeting of food assistance.
    • This method provides a robust tool for both selection and evaluation.