Abstract:An expanding evidence base suggests that children experiencing monetary and multidimensional poverty are not the same. This article breaks new ground by providing a unique mixed methods investigation of drivers of child poverty mismatch in Ethiopia and Vietnam, considering the role of measurement error and individualistic and structural factors. The analysis capitalises on large-scale secondary quantitative panel data and combines this with purposively collected primary qualitative data in both countries. It f… Show more
“…Even though poverty has traditionally been associated with the lack of a certain income, there is a growing literature discussing the theoretical and methodological shortcomings of monetary vis-àvis nonmonetary approaches (Bourguignon and Chakravarty 2003;Roelen and Gassmann 2008;Roelen 2018). If we were to draw the different approaches to poverty on one "welfare measurement continuum," we would have something similar to Fig.…”
Section: Approaches To the Measurement Of Multidimensional Povertymentioning
Multidimensional child poverty defines children who experience a state of poverty that is more complex than that defined by a unidimensional measure of poverty, but encompasses child material needs and human rights, in a holistic way. The definition of child poverty agreed by the UN General Assembly was used by Gordon, Townsend, and their colleagues from the University of Bristol for their study on child poverty in the developing world (Gordon et al. 2003). It gives full weight to material deprivation as the main element of child poverty, stating that children living in poverty are deprived in multiple domains of their lives (i.e., nutrition, water and sanitation, education, shelter, and protection among others) and that the lack of goods and access to services can represent a severe threat for their growth and development (United Nations General Assembly 2007). Multidimensional child poverty encompasses the various deprivations experienced by children in their daily lives. Standard, monetary, measures of poverty don't account for lack of access to services, immaterial needs and goods that do not have functioning markets, such as education, health, access to clean water, safety, and so on. They also don't account for intrahousehold distribution and inequalities. Children lack equal decision power within the household, and many of the goods and services they need to flourish cannot be translated into monetary equivalent. The aim of measuring multidimensional poverty is to assess children's welfare in a way that goes beyond income.
“…Even though poverty has traditionally been associated with the lack of a certain income, there is a growing literature discussing the theoretical and methodological shortcomings of monetary vis-àvis nonmonetary approaches (Bourguignon and Chakravarty 2003;Roelen and Gassmann 2008;Roelen 2018). If we were to draw the different approaches to poverty on one "welfare measurement continuum," we would have something similar to Fig.…”
Section: Approaches To the Measurement Of Multidimensional Povertymentioning
Multidimensional child poverty defines children who experience a state of poverty that is more complex than that defined by a unidimensional measure of poverty, but encompasses child material needs and human rights, in a holistic way. The definition of child poverty agreed by the UN General Assembly was used by Gordon, Townsend, and their colleagues from the University of Bristol for their study on child poverty in the developing world (Gordon et al. 2003). It gives full weight to material deprivation as the main element of child poverty, stating that children living in poverty are deprived in multiple domains of their lives (i.e., nutrition, water and sanitation, education, shelter, and protection among others) and that the lack of goods and access to services can represent a severe threat for their growth and development (United Nations General Assembly 2007). Multidimensional child poverty encompasses the various deprivations experienced by children in their daily lives. Standard, monetary, measures of poverty don't account for lack of access to services, immaterial needs and goods that do not have functioning markets, such as education, health, access to clean water, safety, and so on. They also don't account for intrahousehold distribution and inequalities. Children lack equal decision power within the household, and many of the goods and services they need to flourish cannot be translated into monetary equivalent. The aim of measuring multidimensional poverty is to assess children's welfare in a way that goes beyond income.
“…We analyse the impact of the Lesotho Child Grant (CGP) on a multidimensional index of deprivation for school-aged children, and we operationalize the concept of child poverty using a rights-based approach (Gordon et al, 2003;de Neubourg et al, 2012). We use a measure of multidimensional deprivation to assess children's wellbeing, as it is increasingly recognized that household-based measures of monetary poverty do not necessarily capture children's experiences of deprivation in areas key to their development and well-being (Roelen and Gassmann 2008;Roelen 2018). Furthermore, evidence shows how children in rural areas are consistently more deprived than children in urban areas, even when their families are not monetarily poor (UNICEF Malawi, 2016, UNICEF Tanzania, 2016 The CGP is a large-scale national unconditional CT programme targeted to reach the poorest households with children.…”
“…Roelen (2017) found that overlap between monetary and multidimensional child poverty is least, which suggests both the measure capture types of poverty. In another study, Rolen (2018) found that individual-level factors are important determinates for the gap between monetary and multidimensional child poverty measures. In this background, the paper measures the extent of child poverty in Indian states by following the modified Bristol method and the multidimensional poverty approach and compares the result with monetary poverty.…”
Multidimensional deprivation among children is a critical issue. The present study explores the multidimensional deprivation of children based on India Human Development Survey data, 2011–2012. A modified Bristol method and multidimensional deprivation approach have been used to measure the extent of deprivation. The study compares the results of multidimensional deprivation based on non-monetary indicators with the monetary measure of poverty. Further, a logistic regression model is used to examine the determinants of multidimensional deprivation among children. Findings suggest that the multidimensional poverty among children was much higher in states such as Madhya Pradesh, Uttar Pradesh, Bihar and Rajasthan and was also much higher compared to monetary-based poverty measures. Logistic regression results indicate that if a child belongs to an educated mother, then the chances of multidimensional deprivation are lower. On the contrary, if a child belongs to a marginalised community, like the scheduled tribes or scheduled castes and/or rural areas and poorest consumption class, the chances of child deprivation increase. A major policy implication of the study is that dimension-specific social policy for children in the targeted regions needs to be developed.
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