From Multidimensional Poverty Measurement to Multisector Public Policy for Poverty Reduction: Lessons from the Colombian Case
From Multidimensional Poverty Measurement to Multisector Public Policy for Poverty Reduction: Lessons from the Colombian Case
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从多维贫困衡量到多部门公共减贫政策：哥伦比亚案例的经验教训
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发表时间：
2016
期刊：
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通讯作者：
R. Angulo
中科院分区：
文献类型：
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作者：
R. Angulo
本文着重分析哥伦比亚多维贫困指数（C-MPI）的概念、规范和体制问题。主要问题如下：哥伦比亚经验背后的决策过程是什么？在执行其指数的体制安排方面，从哥伦比亚案例中吸取了哪些主要教训？虽然《社区-多边贸易协定》对减贫的中长期影响仍有待观察，因此也有待评价，但还是有一些重要的经验教训。首先，多维贫穷指数在公共政策方面的效用不仅取决于阿尔凯尔·福斯特方法所保证的数学和统计稳健性，而且取决于决策者通过其规范性选择体现公共政策优先事项的能力。第二，承认概念、统计和公共政策关切所涉及的内在权衡是准确界定衡量目标的关键。最后，如果多指标指数的目的是激励采取协调一致的减贫行动，仅仅有准确的设计是不够的;还必须提供一个坚实的体制结构，支持从指数设计到应用的整个过程。
This paper focuses on the analysis of conceptual, normative and institutional issues of the Colombian Multidimensional Poverty Index (C-MPI). The principal questions are the following: What is the decision-making process that lies behind the Colombian experience? What are the main lessons from the Colombian case in terms of institutional arrangements for the implementation of its index? Although the medium and longer-term effects of the C-MPI on poverty reduction are still to be seen and thus to be evaluated, there are some important lessons. First, a multidimensional poverty index’s utility in terms of public policy depends not only on the mathematical and statistical robustness guaranteed by the Alkire Foster methodology but also on the ability of the policy maker to represent the public policy priorities through its normative choices. Second, acknowledging the inherent trade-offs involved in conceptual, statistical and public policy concerns is key to accurately defining the purpose of the measure. Finally, if the purpose of the MPI is to stimulate coordinated action to reduce poverty, an accurate design will not be enough; it is also necessary to provide a solid institutional architecture that supports the process from the design of the index to its application.