Purpose

This paper has two purposes. The first is to provide a critical evaluation of current methods of measuring monetary versus non-monetary pro-poor growth. The second is to propose an alternative method based on the fuzzy logic aggregation approach, which allows including both monetary and non-monetary indicators simultaneously for measuring the “global pro-poor growth”.

Design/methodology/approach

The methodology that we propose is based on the fuzzy logic approach to aggregate both monetary and non-monetary indicators simultaneously and thus to calculate the “Global Welfare Index”. This index will be considered as the main global wellbeing indicator based on which a “Global Growth Incidence Curve” is constructed to analyze the pro-poor growth. 10; Also, an application of the main previous procedures for measuring monetary vs non-monetary pro-poor growth is presented to compare their results and to discuss their advantages and limitations.

Findings

Empirical validation using Tunisian data reveals that on one hand, results of the pro-poor growth analysis are very sensitive to the used measurement method and may lead to different conclusions. On the other hand, our alternative procedure may provide a more appropriate analysis of pro-poor growth given that it takes into consideration the multidimensional aspect of poverty while remaining faithful to the fundamental principle of pro-poor growth measurement.

Originality/value

The proposed method for constructing the “Global Growth Incidence Curve” is original given that it presents a new procedure to take into account both monetary and non-monetary indicators simultaneously, which allows having a more global view of the phenomenon. Also, the comparative study of the different proposed methods in the literature of measuring pro-poor growth is useful to identify their limitations and advantages.

中文翻译：

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衡量贫困人口的增长：一项比较研究和一种基于模糊逻辑的方法

目的

本文有两个目的。首先是对当前衡量货币与非货币有利于穷人的增长的方法进行批判性评估。第二个建议是基于模糊逻辑聚合方法的另一种方法，该方法允许同时包括货币和非货币指标，以衡量“全球扶贫增长”。

设计/方法/方法

我们提出的方法基于模糊逻辑方法，以同时汇总货币和非货币指标，从而计算“全球福利指数”。该指数将被视为主要的全球福祉指标，据此可以构建“全球增长发生率曲线”来分析扶贫增长。10; 此外，还介绍了先前用于测量货币对非货币有利于穷人的增长的主要程序的应用，以比较它们的结果并讨论其优点和局限性。

发现

使用突尼斯数据进行的经验验证表明，一方面，贫困人口增长分析的结果对所用的测量方法非常敏感，并可能得出不同的结论。另一方面，考虑到贫困的多面性，同时又忠实于扶贫增长测算的基本原则，我们的替代程序可能会提供对扶贫增长的更恰当的分析。

创意/价值

提出的构建“全球增长关联曲线”的方法是原始的，因为它提出了同时考虑货币和非货币指标的新程序，从而可以更全面地了解这一现象。此外，对衡量贫困人口增长的文献中提出的不同方法的比较研究有助于确定其局限性和优势。