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A multidimensional view on poverty in the European Union by partial order theory

机译:基于偏序理论的欧盟贫困多维视角

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Poverty can be seen as a multidimensional phenomenon described by a set of indicators, the poverty components. A one-dimensional measure of poverty serving as a ranking index can be obtained by combining the component indicators via aggregation techniques. Ranking indices are thought of as supporting political decisions. This paper proposes an alternative to aggregation based on simple concepts of partial order theory and illustrates the pros and cons of this approach taking as case study a multidimensional measure of poverty comprising three components - absolute poverty, relative poverty and income - computed for the European Union regions. The analysis enables one to highlight conflicts across the components with some regions detected as controversial, with, for example, low levels of relative poverty and high levels of monetary poverty. The partial order approach enables one to point to the regions with the most severe data conflicts and to the component indicators that cause these conflicts.
机译:贫困可以看作是由一系列指标(即贫困组成部分)描述的多维现象。可以通过汇总技术将构成指标结合起来,获得作为排名指标的一维贫困度量。排名指数被认为是支持政治决策的。本文基于偏序理论的简单概念,提出了一种替代聚集的方法,并以案例研究为依据,对欧盟的贫困进行了多维测量,其中包括三个组成部分:绝对贫困,相对贫困和收入。地区。这种分析使人们能够突出显示各个组成部分之间的冲突,发现某些地区存在争议,例如相对贫困水平较低,而货币贫困水平较高。偏序方法使人们可以指向数据冲突最严重的区域以及导致这些冲突的组件指标。

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