运用层次分析法,为食品获取计划-牛奶模式制定了两个效率指标

IF 1.9 Q3 MANAGEMENT
Josemir Araújo Neves, Adriano Henrique do Nascimento Rangel, Manoel Pereira Neto, Marta Maria Souza Matos, Rita de Cássia de Andrade Silva, Luciano Patto Novaes, Stela Antas Urbano, Hideljundes Macedo Paulino
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引用次数: 1

摘要

本工作描述了建立两个指标的过程,以衡量食品获取计划-牛奶模式(PAA-Milk)在实施该计划的国家的效率。采用层次分析法(AHP)开发第一个指标,采用主成分分析法对第一个指标进行结构切割和简化,得到第二个指标。结果表明,AHP工具与统计工具在制定诊断和监测巴西公共政策的指标方面具有巨大潜力。阿拉戈阿斯州、Paraíba和ceearo州在该计划的执行中表现出最佳效率,而巴伊亚州和伯南布哥州表现出最差的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using the Analytic Hierarchy Process method to develop two efficiency indicators for the Food Acquisition Program – Milk modality

Using the Analytic Hierarchy Process method to develop two efficiency indicators for the Food Acquisition Program – Milk modality

This work describes the process of building two indicators in order to measure the efficiency of the Food Acquisition Program – Milk modality (PAA-Milk) in the States which implement it. The Analytic Hierarchy Process (AHP) methodology was used to develop the first indicator, while the Principal Component Analysis was used as a tool for cutting and simplifying the structure of the first indicator to obtain the second indicator. The results demonstrate the great potential of the AHP tool together with the statistical tools to develop indicators to diagnose and monitor public policies in Brazil. The states of Alagoas, Paraíba, and Ceará presented the best efficiency in the performance of the Program, while Bahia and Pernambuco presented the worst results.

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来源期刊
CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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