Child malnutrition in Africa: statistical analysis and modeling of factors

  • Лилия Родионова National Research University Higher School of Economics
  • Анна Лубнина National Research University Higher School of Economics
Keywords: child malnutrition, African countries, hidden hunger, statistical analysis, long-term relationships, panel cointegration models

Abstract

Sustainable development of society is one of the goals of the millennium, which is impossible without progress in the field of eradicating hunger. According to estimates of the Food and Agriculture Organization of the United Nations, in 2015 about 792.5 million people suffered from chronic hunger. The vast majority of the hungry lived in developing countries, where 60% of child deaths were due to reduced body weight. The level of child malnutrition continues to grow in many African countries.

The work explores the problems of child malnutrition in Africa, modeling its contributing factors according to data of the Food and Agriculture Organization of the United Nations for the period 1991-2014 Panel cointegration models made it possible to obtain estimates of long-term relationships. This is particularly important in the analysis and monitoring of long-term investment programs in Africa.

Initially, all countries were divided into three clusters, differing in socio-economic development. The most unfavorable situation was in the countries of the first cluster, with low per capita GDP and a prevalence of childhood anemia (as a measure of hidden hunger) at 68.9%.

Further modeling of long-term trends was carried out for the first cluster countries. The analysis showed that a long-term relationship exists between the prevalence of anemia among children (as a measure of hidden hunger), access to improved sources of drinking water, the seriousness of the food deficit, the population and the cost of food imports in total exports of goods.

Downloads

Download data is not yet available.

References

Alderman H., J. Hoddinott, B. Kinsey (2006). Long term consequences of early childhood malnutrition // Oxford economic papers. 58(3): 450–474.

Baro M., T.F. Deubel (2006). Persistent hunger: perspectives on vulnerability, famine, and food security in sub-Saharan Africa // Annual review of anthropology. 35: 521–538.

Barrett C.B. (2010). Measuring food insecurity // Science. 327(5967): 825–828.

Breitung J. (2000). The local power of some unit root tests for panel data // Advances in econometrics. Amsterdam: JAI Press: 161–178.

Breitung J., M.H. Pesaran (2008). Unit roots and cointegration in panels // The econometrics of panel data. Springer Berlin heidelberg: 279-322.

Choi I. (2001). Unit root tests for panel data // Journal of international money and finance. 20: 249–272.

Christiaensen L., H. Alderman (2004). Child malnutrition in Ethiopia: can maternal knowledge augment the role of income? // Economic development and cultural change. 52(2): 287–312.

FAO Hunger Report (2015). The state of food insecurity in the world 2015. FAO: 8-40.

FAO Statistical yearbook 2012 (2012). World food and agriculture. FAO. Rome: 96-109.

Fotso J.C., B. Kuate-Defo (2006). Household and community socioeconomic influences on early childhood malnutrition in Africa // Journal of biosocial science. 38(3): 289–313.

Gorstein, J., K. Sullivan, R. Yip, M. de Onis, F. Trowbridge, P. Fajans (1994). Issues in the assessment of nutritional status using anthropometry // Bulletin of the World Health Organization. 72(2): 273.

Haddad L., H. Alderman, S. Appleton, L. Song, Y. Yohannes (2003). Reducing child malnutrition: how far does income growth take us? // The World Bank economic review. 17(1): 107–131.

Hadri K. (2000). Testing for stationarity in heterogeneous panel data // Econometrics journal. 3: 148–161.

Hamilton J.D. (1994). Time series analysis. Princeton university press: 475-630.

Harttgen K., S. Klasen, S. Vollmer (2013). Economic growth and child undernutrition in sub-Saharan Africa // Population and development review. 39(3): 397–412.

Im K.S., M.H. Pesaran, Y. Shin (2003). Testing for unit roots in heterogeneous panels // Journal of econometrics. 115: 53–74.

Jenkins J.C., S.J. Scanlan (2001). Food security in less developed countries, 1970 to 1990 // American sociological review. 66: 718–744.

Levin A., C.-F. Lin, C.-S.J. Chu (2002). Unit root tests in panel data: asymptotic and finite-sample properties// Journal of econometrics. 108: 1–24.

Maddala G.S., S. Wu (1999). A comparative study of unit root tests with panel data and a new simple test // Oxford bulletin of economics and statistics. 61: 631–652.

Magadi M.A. (2011). Household and community HIV/AIDS status and child malnutrition in sub-Saharan Africa: evidence from the demographic and health surveys // Social science & medicine. 73(3): 436–446.

Onis M., M. Blössner (2003). The World Health Organization global database on child growth and malnutrition: methodology and applications // International journal of epidemiology. 32(4): 518–526.

Pedroni P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an applicaton to the PPP hypothesis // Econometric theory. 20: 597–625.

Phillips P.C.B., H.R. Moon (2000). Nonstationary panel data analysis: an overview of some recent developments // Econometric reviews. 19: 263–286.

Sen A. (1981). Poverty and famines: an essay on entitlement and deprivation. Oxford university press: 9-45.

Smith L.C., L.J. Haddad (2000). Explaining child malnutrition in developing countries: A cross-country analysis. International food policy research institute: 15-23.

Walker P. (2013). Famine early warning systems: victims and destitution. Routledge: 15-43.

WHO (2006). WHO child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for height and body mass index-for-age: methods and development. Geneva, Switzerland: WHO Multicentre Growth Reference Study Group: 13-275.

Published
2017-12-22
How to Cite
РодионоваЛ., & ЛубнинаА. (2017). Child malnutrition in Africa: statistical analysis and modeling of factors. Demographic Review, 4(3), 88-114. https://doi.org/10.17323/demreview.v4i3.7318
Section
Analytics