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How Does Multidimensional Rural Poverty Vary across Agro-ecologies in Rural Ethiopia? Evidence from the Three Districts
Journal of Poverty ( IF 0.9 ) Pub Date : 2021-01-15 , DOI: 10.1080/10875549.2020.1869659
Bantayehu Tamrie Alemu 1, 2 , S. P. Singh 1
Affiliation  

ABSTRACT

This article examines the variation of multidimensional poverty in the agro-ecologies by using survey data collected from 450 households in three agro-ecologies of Ethiopia. To come up with the results, the study employed the methodology of the Oxford Poverty and Human Development Initiative approach. The study estimated the prevalence (H), average deprivation (A), and adjusted multidimensional rural poverty (Mo) to be 84.2%, 61%, and 51.3%, respectively, which indicates that it is severe in the study area. The result shows that these indicators are severe in Kolla and Dega agro-ecologies than Woyinadega agro-ecology. Moreover, the results of the logit model found that if the rural household lives in Kolla agro-ecologies, on average, the probability of being multidimensional poor increases by 3.6%.In contrast, in Woyinadega, it goes down by 11.3%, keeping all other factors constant. The study, therefore, suggests that the Ethiopian government and concerned bodies should intensively work to improve the standard of living in Kolla and Dega agro-ecologies. The focus of attention should be given for the Education dimension (adult education) in Dega and the Health dimension (nutrition) in Kolla agro-ecologies.



中文翻译:

埃塞俄比亚农村多维农村贫困如何因农业生态而异?来自三区的证据

摘要

本文利用埃塞俄比亚三个农业生态系统中 450 户家庭的调查数据,研究了农业生态系统中多维贫困的变化。为了得出结果,该研究采用了牛津贫困与人类发展倡议方法的方法论。研究估计发生率(H)、平均剥夺(A)和调整后的多维农村贫困(Mo)分别为 84.2%、61% 和 51.3%,表明研究区的贫困程度严重。结果表明,这些指标在Kolla 和Dega 农业生态中比Woyinadega 农业生态严重。而且,logit 模型的结果发现,如果农村家庭生活在 Kolla 农业生态区,平均而言,多维贫困的概率增加了 3.6%。相比之下,在 Woyinadega,则下降了 11.3%,保持所有其他因素不变。因此,该研究建议埃塞俄比亚政府和有关机构应加紧努力提高科拉和德加农业生态的生活水平。应重点关注 Dega 的教育维度(成人教育)和 Kolla 农业生态学的健康维度(营养)。

更新日期:2021-01-15
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