Multdimensional Poverty in Kenya: Analysis of Maternal and Child Wellbeing

Kabubo-Mariara, Jane; Wambugu, Anthony; Musau, Susan

doi:10.2139/ssrn.1935594

Cited by 5 publications

(5 citation statements)

References 35 publications

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“…Our results show that a child who lives in an urban environment, has an educated mother, lives in a nonpoor household, and lives in a household with fewer children under five will have a strongly reduced likelihood of being multidimensionally poor. These results corroborate those obtained by Adetola and Olufemi (2012), Kabubo-Mariara et al (2011), Ataguba et al (2011), Rutaremwa (2013, and Bastos and Machado (2009).…”

Section: Explanatory Factors For Multidimensional Poverty Among Children Under Fivesupporting

confidence: 92%

“…First, the specific consumption needs of young children are likely to weigh on household consumption habits. Second, having a larger number of children would divert work (especially women's time) from productive economic activities and lower-income and consumption (Kabubo et al, 2011).…”

Section: Explanatory Factors For Multidimensional Poverty Among Children Under Fivementioning

confidence: 99%

See 1 more Smart Citation

Determinants of Multidimensional Poverty among the Under-Five: Illustration Based on Data from the Congo Multiple Indicator Cluster Survey

Ibara¹,

Ossouna²

2021

TEL

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Section: Explanatory Factors For Multidimensional Poverty Among Children Under Fivesupporting

confidence: 92%

Section: Explanatory Factors For Multidimensional Poverty Among Children Under Fivementioning

confidence: 99%

Determinants of Multidimensional Poverty among the Under-Five: Illustration Based on Data from the Congo Multiple Indicator Cluster Survey

Ibara¹,

Ossouna²

2021

TEL

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“…The average deprivation for households experiencing at least one deprivation (A*n, where n is the number of dimensions) also increases as K increases, indicating that households with higher levels of MP experience a greater number of deprivations. These findings are consistent with previous research conducted in Nigeria and Kenya (Adetola & Popoola, 2012;Kabubo-Mariara et al, 2012).…”

Section: Multidimensional Poverty Estimatessupporting

confidence: 93%

Multidimensional poverty in South‐West Nigeria: Empirical insights from a household survey in Osun State

Oyebamiji

Khan

2023

Poverty & Public Policy

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By employing Alkire and Foster's MultidimensionalPoverty Index (MPI) and the Foster-Greer-Thorbecke methods of measuring poverty, this paper ascertained both monetary and multidimensional poverty among rural households in South-West Nigeria. Overall, 50.3% and 40.1% of households were found to be unidimensionally and multidimensionally poor, respectively. The results also revealed that living standards are the highest contributor towards the MPI, followed by access to the internet and education. A probit analysis shows that female-headed households and those headed by Muslims and particularly the Yoruba tribe are highly affected by poverty. Also, a household head's education, age, and income as well as a household's size significantly contribute to MPI, calling policymakers to prioritize the equal provision of health, education, and internet facilities in rural areas.

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“…The study makes use of the Multiple Correspondence Analysis (MCA) (for detailed MCA procedures, see Asselin [34]) which is more suitable for qualitative variables/indicators (as in the present case) than the principal component analysis to derive these deprivation indices. This method has been used by Kabubo-Mariara et al [35], Booysen et al [36], and Ezzrari and Verme [37] in multidimensional poverty studies. Weights assigned to dimensions in this study are presented in Table 2.…”

Section: Analyticalmentioning

confidence: 99%

Child Welfare Deprivation in Rural Nigeria: A Counting Approach

Popoola

Adeoti

2016

Child Development Research

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The study applies the counting approach to explain the deprivation concept among children under 5 years of age using the 2008 DHS data. Five dimensions of deprivation were used: safe drinking water, sanitation, housing, health, and nutrition largely recognized in the SDGs. In all, a total of 13561 children were sampled. About half of the children were males with a mean age of 28.27 months old. The assessment of dimensional deprivation showed that children are most deprived in sanitation, health, and access to safe drinking water while they were least deprived in nutrition. The situation is also marked with regional disparities with northern regions reporting higher deprivation rates than the southern regions but this rate was significantly higher in the sanitation dimension across regions. Considering deprivation counts, 33.9% of children suffer from more than three deprivations and approximately 85.2% from at least two deprivations. Child deprivation should be tackled using a holistic approach through social protection programmes to resolve children’s problems in an integrated manner which would in this case be more efficient and effective in safeguarding children’s rights to survival and development. Identifying the children suffering from single and multiple deprivations can help to target the interventions.

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Multdimensional Poverty in Kenya: Analysis of Maternal and Child Wellbeing

Cited by 5 publications

References 35 publications

Determinants of Multidimensional Poverty among the Under-Five: Illustration Based on Data from the Congo Multiple Indicator Cluster Survey

Determinants of Multidimensional Poverty among the Under-Five: Illustration Based on Data from the Congo Multiple Indicator Cluster Survey

Multidimensional poverty in South‐West Nigeria: Empirical insights from a household survey in Osun State

Child Welfare Deprivation in Rural Nigeria: A Counting Approach

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