Impact of Education on Poverty Alleviation in Afghanistan: An Empirical Evaluation

Nassir Ul Haq Wani, J. Dhami, Neeru Sidana
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Abstract

Afghanistan has one of the lowest education levels and where 49.6 percent of the population lives under the poverty line. Moreover, poverty in Afghanistan is concentrated in rural areas and four out of five poor people live in poverty. The East, Northeast, and West-Central regions—where almost half of the inhabitants are poor—have the lowest per capita consumption and highest likelihood of poverty. In cognizance of the vitality of Sustainable Development Goals (SDGs) and education is promulgated as the primary weapon against poverty prevalence. Hence it is crucial to seek out the effect of different levels of education on poverty in Afghanistan. This study evaluates the effect of different levels of education, experience, and gender of the employed individuals (employers, self-employed, wage earners, and unpaid family workers) as the determinants of poverty. The data is collected from the Living Conditions Survey for 2008 and 2019. A logistic regression model is estimated based on data, with the probability of an individual being poor as the dependent variable and a set of educational levels, experience, and gender as explanatory variables. Further, the study identifies deficiencies related to basic education in poverty reduction and comes up with some policy conclusions that can be taken into account in the planning of effective basic education for poverty reduction.
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教育对阿富汗扶贫的影响:一项实证评估
阿富汗是教育水平最低的国家之一,49.6%的人口生活在贫困线以下。此外,阿富汗的贫困集中在农村地区,五分之四的穷人生活在贫困之中。东部、东北部和中西部地区——几乎有一半的居民是穷人——人均消费最低,陷入贫困的可能性最高。认识到可持续发展目标(sdg)的活力,教育被视为消除贫困的主要武器。因此,找出不同教育水平对阿富汗贫困的影响是至关重要的。本研究评估了不同程度的教育、经验和就业个体(雇主、自营职业者、工薪阶层和无薪家庭工人)的性别作为贫困决定因素的影响。这些数据来自2008年和2019年的生活条件调查。根据数据估计逻辑回归模型,以个人贫穷的概率作为因变量,以一组教育水平、经验和性别作为解释变量。此外,该研究指出了与基础教育在减贫方面有关的不足之处,并提出了一些政策结论,可在规划有效的基础教育减贫时加以考虑。
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