2017年-世界发展银行全球_Cities_Slums_and_Early_Child_Growth___Empirical_Evidence_from_Bangladesh_69页_1mb

Summary of "Cities, Slums, and Early Child Growth: Empirical Evidence from Bangladesh"

Core Content

This study investigates the effects of demographic and socioeconomic factors on early child growth in Bangladesh's large cities, with a focus on differences between slum and nonslum areas. It uses data from the Bangladesh Urban Health Survey (BUHS) conducted in 2006 and 2013 to analyze both cross-sectional differences and intertemporal changes in child growth outcomes.

Main Findings

• Child Growth Disparities: In 2013, slum children had lower mean height-for-age z-scores (HAZ) compared to nonslum children, with slum children being 0.58 SD shorter on average. Slum children also had poorer growth outcomes than rural children.
• Key Determinants: Mother's education attainment and household wealth are the most significant factors explaining the difference in child growth between slum and nonslum areas. These factors also drive the improvement in child growth from 2006 to 2013.
• Health Services: The use of maternal and child health services has a positive effect on child growth, but access to these services is lower in slum areas. Slum households are more likely to use NGO facilities and less likely to use public or private facilities.
• Household Amenities: Access to health-protective amenities is worse in slum areas. For instance, shared toilets negatively affect slum child growth, while handwashing sites with soap and water positively influence nonslum child growth.
• Migration: Rural-to-urban migration does not appear to have a negative effect on child growth. However, the reasons for migration and the length of time in the city may influence child growth outcomes.
• Policy Implications: The findings support the need for nutrition-sensitive programs targeting slum and urban poor populations. They also highlight the importance of improving access to and quality of maternal and child health services and community environmental health infrastructure.

Key Information

• Data Sources: The study uses data from the Bangladesh Urban Health Survey (BUHS) in 2006 and 2013, which are representative of urban areas, including slum and nonslum settlements.
• Methodology: The study employs reduced-form estimations with administrative-division and neighborhood-area fixed effects to account for unobserved heterogeneity.
• Child Growth Measurement: Child growth is measured using height-for-age z-scores (HAZ), with stunting defined as being more than two standard deviations below the international reference median.
• Demographics: Bangladesh's urban population increased from 13 million in 1981 to 42 million in 2011, and is projected to reach 56% of the total population by 2050. Slum settlements are a prevalent feature of urban areas, with 14,000 settlements identified in 2014.
• Socioeconomic Context: Slum areas are characterized by poor access to basic services and infrastructure, which may contribute to worse health and nutrition outcomes for children.

Policy Relevance

• The study underscores the importance of addressing the unique challenges faced by slum and urban poor populations to improve child growth outcomes.
• It suggests that nutrition-sensitive programs should be prioritized in slum areas, while also emphasizing the need to enhance the effectiveness and accessibility of maternal and child health services.
• The results highlight the role of household wealth and maternal education in shaping child growth, indicating that targeted interventions in these areas can yield significant improvements.

Conclusion

The study provides empirical evidence that slum children in Bangladesh face significant challenges in terms of early child growth compared to nonslum and rural children. It calls for a focus on improving socioeconomic conditions, health services, and environmental infrastructure in slum areas to address these disparities. The findings are consistent with global evidence on the long-term impacts of child undernutrition and support the development of inclusive policies for urban poor populations.