Evidence map›Paper›PMID 37848873›Full record

ArticleBMC public health2023

Assessing reduction in multidimensional childhood poverty in India: a decomposition analysis.

Itishree Pradhan, Jalandhar Pradhan

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Itishree PradhanDepartment of Humanities and Social Sciences, National Institute of Technology (NIT), Rourkela, Odisha, 769008, India.ORCID http://orcid.org/0000-0002-7886-7638
Jalandhar PradhanDepartment of Humanities and Social Sciences, National Institute of Technology (NIT), Rourkela, Odisha, 769008, India. jpp_pradhan@yahoo.co.uk.ORCID http://orcid.org/0000-0001-5998-0363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmpirically, the official measurement of multidimensional poverty often shows children as the poorest age group. According to Global Multidimensional Poverty Index report, Africa and South Asia bear the highest burden multidimensional child poverty (MCP). Around one-third of children aged 0-4 are multidimensionally poor in India. Policymakers in India must have appropriate information on child poverty to alleviate poverty. The purpose of this paper is to examine MCP trends and track efforts to reduce child poverty at the national level across geographic regions, castes, and religious groups.

methodsWe used the Alkire-Foster method to calculate the MCP index (MCPI) among children aged 0-4 using the latest two rounds of National Family Health Survey data (2015-16 and 2019-21). We applied the Shapley decomposition method to analyse the marginal contribution of incidence and intensity that lead to changes in MCPI.

resultsIn India, the incidence of child poverty reduced by more than 40% between 2015-16 and 2019-21 (46.6-27.4%) and the MCPI reduced by half (24.2-12.6%). The relative decline in MCPI has been largest for urban areas, northern regions, Other Backward Classes (OBCs) and Hindus. Children from rural areas, Scheduled Castes (SCs), Scheduled Tribes (STs), and Muslim households are the poor performers. When focusing exclusively on the poor child, we found all the population subgroups and geographic locations reduced the censored headcount ratios in all 14 indicators. Across places of residence, castes, religions, and regions the, indicators like electricity, birth registration, drinking water, assisted delivery, sanitation and cooking fuel made significant improvements between 2015-16 to 2019-21.

conclusionThe study indicates that by studying the MCPI over time, one can identify the priorities in policy development to achieve the Sustainable Development Goals.

Indexed as

Child PovertyPovertyChildFamily CharacteristicsHumansIndiaSocial ClassSocioeconomic FactorsAlkire-Foster methodIndiaMultidimensional Child povertyShapley decomposition

Identifiers

PMID37848873
PMCPMC10583318

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.