Blinder–Oaxaca decomposition analysis of the urban-rural gap in child nutrition in Bangladesh

Child undernutrition is a leading cause of death among young children worldwide. In Bangladesh, severe undernutrition is prevalent among nearly 25% of the under five children. Additionally, the prevalence of child undernutrition varies significantly between urban and rural areas in the country. This widespread prevalence of undernutrition and regional disparity raises concerns among Bangladeshi policymakers because childhood undernutrition can lead to irreversible consequences. Using the latest data from Bangladesh's Multiple Indicator Cluster Survey (MICS), this study examines factors contributing to the urban-rural gap in child nutrition. The Blinder-Oaxaca decomposition results suggest that nearly 78% of the observed difference in weight-for-age Z score (WAZ) between urban and rural children can be attributed to disparities in the factors determining child nutrition (endowment effect) across urban and rural households. The analysis also reveals that disparities among households in socioeconomic and maternal education play a significant role in the observed urban-rural difference in WAZ. In conclusion, this study suggests that the government should emphasize reducing socioeconomic inequalities amongst households to reduce regional disparities in child nutrition in Bangladesh.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-28
DOI
https://doi.org/10.1038/s41598-025-26857-6
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blinder–Oaxaca decomposition analysis of the urban-rural gap in child nutrition in Bangladesh

Ismat Ara Begum, Huichun Sun, Md. Mahbub Hossain, Mohammad Jahangir Alam et al.
Scientific Reports
Child Nutrition and Water Access
article

Blinder–Oaxaca decomposition analysis of the urban-rural gap in child nutrition in Bangladesh

Ismat Ara Begum, Huichun Sun, Md. Mahbub Hossain, Mohammad Jahangir Alam, Andrew Mckenzie
article en

Abstract

Child undernutrition is a leading cause of death among young children worldwide. In Bangladesh, severe undernutrition is prevalent among nearly 25% of the under five children. Additionally, the prevalence of child undernutrition varies significantly between urban and rural areas in the country. This widespread prevalence of undernutrition and regional disparity raises concerns among Bangladeshi policymakers because childhood undernutrition can lead to irreversible consequences. Using the latest data from Bangladesh's Multiple Indicator Cluster Survey (MICS), this study examines factors contributing to the urban-rural gap in child nutrition. The Blinder-Oaxaca decomposition results suggest that nearly 78% of the observed difference in weight-for-age Z score (WAZ) between urban and rural children can be attributed to disparities in the factors determining child nutrition (endowment effect) across urban and rural households. The analysis also reveals that disparities among households in socioeconomic and maternal education play a significant role in the observed urban-rural difference in WAZ. In conclusion, this study suggests that the government should emphasize reducing socioeconomic inequalities amongst households to reduce regional disparities in child nutrition in Bangladesh.

Scientific ReportsVol. 15(1)
Zhongnan University of Economics and Law (CN), Bangladesh Agricultural University (BD), University of Arkansas at Fayetteville (US)
Openalex Percentile: Top 56%
Child Nutrition and Water Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.