关于增长发生率曲线的社会福利解释

Yonatan Berman, François Bourguignon
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摘要

增长发生率曲线(Growth Incidence Curve, GIC)由Ravallion和Chen (Econ)在贫困测量文献中引入。《经济学快报》78(1),93-99,2003年)被证明是一个有价值的、广泛使用的工具,用于分析增长对贫困的影响及其“亲贫困”。然而,除了有利于贫困之外,gic的形态与社会福利之间的关系是模糊的。如果不断下降的GIC加上正的总体增长率,与社会福利的增加毫无疑问地联系在一起,那么这种形状就不是最常见的,相互作用也不一定是正确的。本文分析了GICs的社会福利属性,以及它们的非匿名对应物(NAGICs),它描述了收入增长如何依赖于初始收入分配中个人的初始等级。因此,NAGICs不仅考虑了收入分配的变化,还考虑了收入流动性,在概念上与匿名的对应产品不同。然而,他们对社会福利的解释却非常相似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the social welfare interpretation of growth incidence curves
Abstract The Growth Incidence Curve (GIC), introduced in the poverty measurement literature by Ravallion and Chen (Econ. Lett. 78 (1), 93–99, 2003), proved to be a valuable and widely used tool to analyze the impact of growth on poverty and its ‘pro-poorness’. Beyond pro-poorness, however, the relationship between the shape of GICs and social welfare is ambiguous. If a declining GIC, together with a positive overall rate of growth, is unambiguously associated with a social welfare gain, such a shape is not the most common and the reciprocal is not necessarily true. This paper analyzes the social welfare properties of GICs, as well as their non-anonymous counterpart (NAGICs), which describe how income growth depends on the initial rank of individuals in the initial income distribution. NAGICs thus account not only for the change in the distribution of income but also for income mobility, and differ conceptually from their anonymous counterpart. However, their social welfare interpretation proves to be very similar.
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