TY - JOUR
T1 - Decomposing multidimensional child poverty and its drivers in the Mouhoun region of Burkina Faso, West Africa
AU - Fonta, Cynthia L.
AU - Yameogo, Thomas B.
AU - Tinto, Halidou
AU - Van Huysen, Tiff
AU - Natama, Hamtandi Magloire
AU - Compaore, Adelaide
AU - Fonta, William M.
PY - 2020/1/31
Y1 - 2020/1/31
N2 - Background: The global poverty profile shows that Africa and Asia bear the highest burden of multidimensional child poverty. Child survival and development therefore depend on socioeconomic and environmental factors that surround a child.The aim of this paper is to measure multidimensional child poverty and underpin what drives it among children aged 5 to 18 years in a resource poor region of Burkina Faso. Methods: Using primary data collected from a cross sectional study of 722 households in the Mouhoun region of Burkina Faso, the Alkire-Foster methodology was applied to estimate and decompose child poverty among children aged 5-18 years. Seven broad dimensions guided by the child poverty literature, data availability and the country's SDGs were used. A binary logistic regression model was applied to identify drivers of multidimensional child poverty in the region. Results: The highest prevalence of deprivations were recorded in water and sanitation (91%), information and leisure (89%) followed by education (83%). Interestingly, at k = 3 (the sum of weighted indicators that a child must be deprived to be considered multidimensionally poor), about 97% of children are deprived in at least three of the seven dimensions. At k = 4 to k = 6, between 88.7 and 30.9% of children were equally classified as suffering from multidimensional poverty. The odds of multidimensional poverty were reduced in children who belonged to households with a formally educated mother (OR = 0.49) or stable sources of income (OR = 0.31, OR = 0.33). The results equally revealed that being an adolescent (OR = 0.67), residing in the urban area of Boromo (OR = 0.13) and rural area of Safané (OR = 0.61) reduced the odds of child poverty. On the other hand, child poverty was highest among children from the rural area of Yé (OR = 2.74), polygamous households (OR = 1.47, OR = 5.57 and OR = 1.96), households with an adult head suffering from a longstanding illness (OR = 1.61), households with debts (OR = 1.01) and households with above five number of children/woman (OR = 1.49). Conclusion: Child poverty is best determined by using a multidimensional approach that involves an interplay of indicators and dimensions, bearing in mind its causation.
AB - Background: The global poverty profile shows that Africa and Asia bear the highest burden of multidimensional child poverty. Child survival and development therefore depend on socioeconomic and environmental factors that surround a child.The aim of this paper is to measure multidimensional child poverty and underpin what drives it among children aged 5 to 18 years in a resource poor region of Burkina Faso. Methods: Using primary data collected from a cross sectional study of 722 households in the Mouhoun region of Burkina Faso, the Alkire-Foster methodology was applied to estimate and decompose child poverty among children aged 5-18 years. Seven broad dimensions guided by the child poverty literature, data availability and the country's SDGs were used. A binary logistic regression model was applied to identify drivers of multidimensional child poverty in the region. Results: The highest prevalence of deprivations were recorded in water and sanitation (91%), information and leisure (89%) followed by education (83%). Interestingly, at k = 3 (the sum of weighted indicators that a child must be deprived to be considered multidimensionally poor), about 97% of children are deprived in at least three of the seven dimensions. At k = 4 to k = 6, between 88.7 and 30.9% of children were equally classified as suffering from multidimensional poverty. The odds of multidimensional poverty were reduced in children who belonged to households with a formally educated mother (OR = 0.49) or stable sources of income (OR = 0.31, OR = 0.33). The results equally revealed that being an adolescent (OR = 0.67), residing in the urban area of Boromo (OR = 0.13) and rural area of Safané (OR = 0.61) reduced the odds of child poverty. On the other hand, child poverty was highest among children from the rural area of Yé (OR = 2.74), polygamous households (OR = 1.47, OR = 5.57 and OR = 1.96), households with an adult head suffering from a longstanding illness (OR = 1.61), households with debts (OR = 1.01) and households with above five number of children/woman (OR = 1.49). Conclusion: Child poverty is best determined by using a multidimensional approach that involves an interplay of indicators and dimensions, bearing in mind its causation.
KW - Alkire and Foster methodology
KW - Burkina Faso
KW - Deprivations
KW - Multidimensional child poverty
KW - Poverty decomposition
UR - http://www.scopus.com/inward/record.url?scp=85078823956&partnerID=8YFLogxK
U2 - 10.1186/s12889-020-8254-3
DO - 10.1186/s12889-020-8254-3
M3 - Article (Academic Journal)
C2 - 32005220
AN - SCOPUS:85078823956
VL - 20
JO - BMC Public Health
JF - BMC Public Health
SN - 1471-2458
IS - 1
M1 - 149
ER -