Evidence map›Paper›PMID 40756321›Full record

ArticleF1000Research2025

Analyzing Multidimensional Poverty and Its Determinants in Ethiopia: A Micro-level Analysis at Debre Tabor City Administration.

Yismaw Ayelign Mengistu, Bantalem Sinishaw Mekonen, Nega Assefa Aynalem

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Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yismaw Ayelign MengistuAssistant Professor, Economics, Debre Tabor University, Debre Tabor, Amhara, 272, Ethiopia.ORCID https://orcid.org/0000-0002-8777-0627
Bantalem Sinishaw MekonenLecturer, Economics, Kabridahar University, Kebri Dahir, Somali, 250, Ethiopia.
Nega Assefa AynalemLecturer, Economics, Debre Tabor University, Debre Tabor, Amhara, 272, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poverty remained pervasive in affecting households particularly in developing countries like Ethiopia. Purpose: The main target of this study was to estimate the multidimensional poverty index of households in Debre Tabor city along with the analysis of determinants of multidimensional poverty. Method: The researchers selected 394 households from six Kebeles using a stratified random sampling technique. The Alkire and Foster dual cut-off method of measuring poverty was employed to estimate the multidimensional poverty index and ordered logistic regression was used to analyze the effects of determinants of multidimensional poverty. Five dimensions of poverty namely, income, education, health, living standards, and energy use were incorporated in measuring it. Results and conclusion: The result revealed that 59% of households were multidimensional poor with a poverty cut-off of 33%. The multidimensional poor households were underprivileged in 54% of weighted indicators. The energy use dimension was a serious contributor to the incidence and severity of multidimensional poverty. In addition, poverty incidence by illiterate-headed household heads, with single marital status, and casual wage worker-headed households was higher relative to their counterparts. Policy recommendation: We strongly recommended that education must be extensively provided not only to children but also to adults; females must be promoted to participate in business activities, credit must be expanded with an excellent follow-up, and households should participate in existing cooperatives.

Indexed as

PovertyAdultCitiesEthiopiaFamily CharacteristicsFemaleHumansIncomeMaleSocioeconomic FactorsAlkire and Foster; MPI; MPI decomposition; multidimensional poverty; ordered logistic regression

Identifiers

PMID40756321
PMCPMC12317311

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