Back to browse results
Child Hunger in the Developing World: An Analysis of Environmental and Social Correlates
Authors: Deborah Balk, Adam Storeygard, Marc Levy, Joanne Gaskell, Manohar P. Sharma, and Rafael Flor
Source: Food Policy, vol. 30, issue 5-6, pages 584-611, doi:10.1016/j.foodpol.2005.10.007
Topic(s): Child health
Environment and natural resources
Food insecurity
GIS/GPS
Spatial analysis
Country: Africa
   Multiple African Countries
Published: DEC 2005
Abstract: Using two complementary methods in a framework that allows incorporating both environmental and household-level factors, we explore the correlates of underweight status among children. We use individual children as the units of analysis in 19 African countries, and subnational survey strata in 43 African, Asian and Latin American countries. We consider the relationship between householdlevel demographic and health survey data, environmental factors from external geospatial data sets and two indicators of malnutrition among children aged 1–3, deviations from the international standards of weight-for-age and height-for-age. We discuss methods for data integration. In general, household determinants explain more variation than environmental factors, perhaps partly due to more error-prone measurement at the community level. Among individual children, some measures of agricultural capacity are related to lower incidence of child hunger, while among regions, mea-Using two complementary methods in a framework that allows incorporating both environmental and household-level factors, we explore the correlates of underweight status among children. We use individual children as the units of analysis in 19 African countries, and subnational survey strata in 43 African, Asian and Latin American countries. We consider the relationship between householdlevel demographic and health survey data, environmental factors from external geospatial data sets and two indicators of malnutrition among children aged 1–3, deviations from the international standards of weight-for-age and height-for-age. We discuss methods for data integration. In general, household determinants explain more variation than environmental factors, perhaps partly due to more error-prone measurement at the community level. Among individual children, some measures of agricultural capacity are related to lower incidence of child hunger, while among regions, mea-sures relating to urbanness and population density show a stronger relationship. We give recommendations for further study, data collection and policy making.  Keywords: Child hunger; Underweight; Household; Environmental factors; Spatial analysis
Web: http://sedac.ciesin.columbia.edu/povmap/downloads/analysis/food_policy_2005.pdf