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Child Malnutrition, Agricultural Diversification and Commercialization among Smallholder Farmers in Eastern Zambia

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  • Mofya-Mukuka, Rhoda
  • Kulhgatz, Christian H.

Abstract

With only a few months remaining, Zambia still has a long way to achieving the millennium development goal of halving the number of stunted children by the end of 2015. Almost half of the children in Zambia remain undernourished and 40% of them have stunted growth, a long term malnutrition effect. This makes Zambia one of the countries with the highest levels of malnutrition in the world. The most vulnerable are the children from rural households which depend entirely on rainfed seasonal agricultural production and income, and survive on diets that are deficient in proteins and other important nutrients.

Suggested Citation

  • Mofya-Mukuka, Rhoda & Kulhgatz, Christian H., "undated". "Child Malnutrition, Agricultural Diversification and Commercialization among Smallholder Farmers in Eastern Zambia," Food Security Collaborative Working Papers 198189, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    • Handle: RePEc:ags:midcwp:198189
    DOI: 10.22004/ag.econ.198189
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    References listed on IDEAS

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    1. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    2. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    3. Flores, Carlos A. & Flores-Lagunes, Alfonso, 2009. "Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment under Unconfoundedness," IZA Discussion Papers 4237, Institute of Labor Economics (IZA).
    4. Alderman, Harold & Hoogeveen, Hans & Rossi, Mariacristina, 2006. "Reducing child malnutrition in Tanzania: Combined effects of income growth and program interventions," Economics & Human Biology, Elsevier, vol. 4(1), pages 1-23, January.
    5. Shahidur R. Khandker & Wahiduddin Mahmud, 2012. "Seasonal Hunger and Public Policies : Evidence from Northwest Bangladesh," World Bank Publications - Books, The World Bank Group, number 9373.
    6. Gillespie, Stuart & Harris, Jody & Kadiyala, Suneetha, 2012. "The Agriculture-Nutrition Disconnect in India: What Do We Know?:," IFPRI discussion papers 1187, International Food Policy Research Institute (IFPRI).
    7. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    8. Tembo, Solomon & Sitko, Nicholas, 2013. "Technical Compendium: Descriptive Agricultural Statistics and Analysis for Zambia," Food Security Collaborative Working Papers 155988, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    9. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    10. Headey, Derek & Chiu, Alice & Kadiyala, Suneetha, 2011. "Agriculture's role in the Indian enigma: Help or hindrance to the undernutrition crisis?," IFPRI discussion papers 1085, International Food Policy Research Institute (IFPRI).
    11. Hendriks, Sheryl L. & Msaki, Mark M., 2009. "The impact of smallholder commercialisation of organic crops on food consumption patterns, dietary diversity and consumption elasticities," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 48(2), pages 200-200, June.
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    Cited by:

    1. Anuja, A.R. & Shivaswamy, G.P. & Ray, Mrinmoy & Singh, K.N., 2021. "The Pattern of Crop Diversification and Its Implications on Undernutrition in India," 2021 Conference, August 17-31, 2021, Virtual 315379, International Association of Agricultural Economists.
    2. Kuhlgatz, Christian & Mofya-Mukuka, Rhoda, 2015. "Agricultural Commercialization and Child Nutrition: Lessons from the Eastern Province of Zambia," Food Security Collaborative Policy Briefs 208578, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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    Keywords

    Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety;

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