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Assessing the Impact of U.S. Food Assistance Delivery Policies on Child Mortality in Northern Kenya

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  • Alex Nikulkov
  • Christopher B Barrett
  • Andrew G Mude
  • Lawrence M Wein

Abstract

The U.S. is the main country in the world that delivers its food assistance primarily via transoceanic shipments of commodity-based in-kind food. This approach is costlier and less timely than cash-based assistance, which includes cash transfers, food vouchers, and local and regional procurement, where food is bought in or nearby the recipient country. The U.S.’s approach is exacerbated by a requirement that half of its transoceanic food shipments need to be sent on U.S.-flag vessels. We estimate the effect of these U.S. food assistance distribution policies on child mortality in northern Kenya by formulating and optimizing a supply chain model. In our model, monthly orders of transoceanic shipments and cash-based interventions are chosen to minimize child mortality subject to an annual budget constraint and to policy constraints on the allowable proportions of cash-based interventions and non-US-flag shipments. By varying the restrictiveness of these policy constraints, we assess the impact of possible changes in U.S. food aid policies on child mortality. The model includes an existing regression model that uses household survey data and geospatial data to forecast the mean mid-upper-arm circumference Z scores among children in a community, and allows food assistance to increase Z scores, and Z scores to influence mortality rates. We find that cash-based interventions are a much more powerful policy lever than the U.S.-flag vessel requirement: switching to cash-based interventions reduces child mortality from 4.4% to 3.7% (a 16.2% relative reduction) in our model, whereas eliminating the U.S.-flag vessel restriction without increasing the use of cash-based interventions generates a relative reduction in child mortality of only 1.1%. The great majority of the gains achieved by cash-based interventions are due to their reduced cost, not their reduced delivery lead times; i.e., the reduction of shipping expenses allows for more food to be delivered, which reduces child mortality.

Suggested Citation

  • Alex Nikulkov & Christopher B Barrett & Andrew G Mude & Lawrence M Wein, 2016. "Assessing the Impact of U.S. Food Assistance Delivery Policies on Child Mortality in Northern Kenya," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0168432
    DOI: 10.1371/journal.pone.0168432
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    References listed on IDEAS

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    1. Lentz, Erin C. & Passarelli, Simone & Barrett, Christopher B., 2013. "The Timeliness and Cost-Effectiveness of the Local and Regional Procurement of Food Aid," World Development, Elsevier, vol. 49(C), pages 9-18.
    2. Tadesse, Getaw & Shively, Gerald, 2009. "AJAE appendix for Food aid, food prices and producer disincentives in Ethiopia," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(4), pages 1-47, April.
    3. Violette, William J. & Harou, Aurélie P. & Upton, Joanna B. & Bell, Samuel D. & Barrett, Christopher B. & Gómez, Miguel I. & Lentz, Erin C., 2013. "Recipients’ Satisfaction with Locally Procured Food Aid Rations: Comparative Evidence from a Three Country Matched Survey," World Development, Elsevier, vol. 49(C), pages 30-43.
    4. Getaw Tadesse & Gerald Shively, 2009. "Food Aid, Food Prices, and Producer Disincentives in Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 942-955.
    5. Abdulai, Awudu & Barrett, Christopher B. & Hoddinott, John, 2005. "Does food aid Really have disincentive effects? New evidence from sub-Saharan Africa," World Development, Elsevier, vol. 33(10), pages 1689-1704, October.
    6. Bageant, Elizabeth R. & Barrett, Christopher B. & Lentz, Erin C., 2010. "U.S. Food Aid and Agricultural Cargo Preference Policy," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61250, Agricultural and Applied Economics Association.
    7. Mude, Andrew G. & Barrett, Christopher B. & McPeak, John G. & Kaitho, Robert & Kristjanson, Patti, 2009. "Empirical forecasting of slow-onset disasters for improved emergency response: An application to Kenya's arid north," Food Policy, Elsevier, vol. 34(4), pages 329-339, August.
    8. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    9. Elizabeth R. Bageant & Christopher B. Barrett & Erin C. Lentz, 2010. "Food Aid and Agricultural Cargo Preference," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(4), pages 624-641.
    10. Lentz, Erin C. & Barrett, Christopher B., 2014. "The Negligible Welfare Effects of the International Food Aid Provisions in the 2014 Farm Bill," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 29(3), pages 1-5.
    11. Lentz, Erin C. & Barrett, Christopher B., 2008. "Improving Food Aid: What Reforms Would Yield the Highest Payoff?," World Development, Elsevier, vol. 36(7), pages 1152-1172, July.
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    Cited by:

    1. Vu, Khoa & Vuong, Nguyen Dinh Tuan & Vu-Thanh, Tu-Anh & Nguyen, Anh Ngoc, 2022. "Income shock and food insecurity prediction Vietnam under the pandemic," World Development, Elsevier, vol. 153(C).
    2. Christopher B. Barrett, 2020. "Comment on “The Effects of Untying International Food Assistance: The Case of Canada”," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1079-1080, August.
    3. Lentz, E.C. & Michelson, H. & Baylis, K. & Zhou, Y., 2019. "A data-driven approach improves food insecurity crisis prediction," World Development, Elsevier, vol. 122(C), pages 399-409.

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