Investigating Influential Factors on Improving Poverty Conditions in Latin America

K. Mitsumoto, Koichi Yamaura
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Abstract

The objective of this study is to determine the spillover effects of various international supports for poverty in Paraguay. A vector autoregressive model is used to investigate a dynamic linkage among five components: prevalence of undernourishment, food intake, gross domestic products (GDP) per capita, primary school completion rate, and unemployment rate. We found that the primary school completion rate has the largest spillover effects for reducing poverty except GDP per capita. Supporting international agencies such as the Inter-American Development Bank can keep or invest more money in early education sectors, and Paraguay can obtain not only direct supports but also larger indirect effects.
调查改善拉丁美洲贫困状况的影响因素
这项研究的目的是确定各种国际援助对巴拉圭贫困的溢出效应。矢量自回归模型用于调查五个组成部分之间的动态联系:营养不良发生率、食物摄入量、人均国内生产总值(GDP)、小学完成率和失业率。我们发现,除人均GDP外,小学完成率对减贫的溢出效应最大。支持国际机构,如美洲开发银行,可以保留或投资更多的资金在早期教育部门,巴拉圭不仅可以获得直接支持,还可以获得更大的间接影响。
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