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Single Versus Multiple Deprivations Among Children in India

Bibliographic Data

ID14954979
AuthorsSunil Kumar Mishra (0000-0002-7422-3077, Institute for Human Development, Okhla Industrial Estate, New Delhi, India, corresponding author), Swati Dutta (0000-0002-4740-0904, Institute for Human Development, Okhla Industrial Estate, New Delhi, India)
Year2022
Volume16
Issue1
Pages97-118
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueIndian Journal of Human Development (JOURNAL)
Journal identifiersISSN: 0973-7030 • E-ISSN: 2456-480X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/09737030221092869
OpenAlexW4225291697
LanguageEN
Citations received1
References cited28

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

Consumption (sociology · Economic growth · Economics · Geography · Logistic regression · Poverty · Social class · Social deprivation · Social science · Socioeconomics · Sociology · Statistics · Uttar pradesh · Demography · Income, Poverty, and Inequality · Mathematics · Poverty, Education, and Child Welfare · Psychology

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo
Open DOI
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