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Improved dairy cows in Uganda: Pathways to poverty alleviation and improved child nutrition:

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  • Kabunga, Nassul S.

Abstract

The introduction and dissemination of improved dairy cow breeds in Uganda is arguably the most significant step taken to develop a modern and commercial dairy industry in the country over the last two decades. This study uses a nationally representative sample of Ugandan households to rigorously examine the impact of adoption of improved dairy cow breeds on enterprise-, household-, and individual child-level nutrition outcomes. We find that adopting improved dairy cows significantly increases milk productivity, milk commercialization, and food expenditure.

Suggested Citation

  • Kabunga, Nassul S., 2014. "Improved dairy cows in Uganda: Pathways to poverty alleviation and improved child nutrition:," IFPRI discussion papers 1328, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1328
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    1. Wambugu, Stella & Kirimi, Lilian & Opiyo, Joseph, 2011. "Productivity Trends and Performance of Dairy Farming in Kenya," Working Papers 202598, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
    2. Simon Appleton & Tom Emwanu & Johnson Kagugube & James Muwonge, 1999. "Changes in poverty in Uganda, 1992-1997," CSAE Working Paper Series 1999-22, Centre for the Study of African Economies, University of Oxford.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. 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).
    5. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    6. Ira Matuschke & Matin Qaim, 2009. "The impact of social networks on hybrid seed adoption in India," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 493-505, September.
    7. Jef Leroy, 2011. "ZSCORE06: Stata module to calculate anthropometric z-scores using the 2006 WHO child growth standards," Statistical Software Components S457279, Boston College Department of Economics, revised 04 Oct 2011.
    8. Gerosa, Stefano & Skoet, Jakob, 2012. "Milk availability: trends in production and demand and medium-term outlook," ESA Working Papers 289000, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    9. Sebastian Levine, 2012. "Exploring Differences in National and International Poverty Estimates: Is Uganda on Track to Halve Poverty by 2015?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 107(2), pages 331-349, June.
    10. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    11. von Braun, Joachim, 1995. "Agricultural commercialization: impacts on income and nutrition and implications for policy," Food Policy, Elsevier, vol. 20(3), pages 187-202, June.
    12. Ssewanyana, Sarah & Kasirye, Ibrahim, 2012. "Poverty and inequality dynamics in Uganda: Insights from the Uganda national Panel Surveys 2005/6 and 2009/10," Research Series 148953, Economic Policy Research Centre (EPRC).
    13. Ssewanyana, Sarah N. & Okidi, John A., 2007. "Poverty estimates from Uganda National Household Survey III, 2005/2006," Occasional Papers 54710, Economic Policy Research Centre (EPRC).
    14. Dean Spears, 2012. "How much international variation in child height can sanitation explain?," Working Papers 1436, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    15. Mbowa, Swaibu & Shinyekwa, Isaac & Lwanga, Musa, 2012. "Dairy sector reforms and transformation in Uganda since the 1990s," Research Reports 148954, Economic Policy Research Centre (EPRC).
    16. Aslam, Monazza & Kingdon, Geeta Gandhi, 2012. "Parental Education and Child Health—Understanding the Pathways of Impact in Pakistan," World Development, Elsevier, vol. 40(10), pages 2014-2032.
    17. Staal, Steven & Delgado, Christopher & Nicholson, Charles, 1997. "Smallholder dairying under transactions costs in East Africa," World Development, Elsevier, vol. 25(5), pages 779-794, May.
    18. Ravallion, Martin & Bidani, Benu, 1994. "How Robust Is a Poverty Profile?," The World Bank Economic Review, World Bank, vol. 8(1), pages 75-102, January.
    19. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    20. Nassul Ssentamu Kabunga & Thomas Dubois & Matin Qaim, 2012. "Heterogeneous information exposure and technology adoption: the case of tissue culture bananas in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 43(5), pages 473-486, September.
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    1. Nyang'au, Paul Nyamweya, 2018. "Impact Of Integrated Pest Management Technology On Food Security Among Mango Farmers In Machakos County, Kenya," Research Theses 276453, Collaborative Masters Program in Agricultural and Applied Economics.
    2. Ruel, Marie T. & Quisumbing, Agnes R. & Balagamwala, Mysbah, 2017. "Nutrition-sensitive agriculture: What have we learned and where do we go from here?:," IFPRI discussion papers 1681, International Food Policy Research Institute (IFPRI).
    3. Bajrami, Egzon & Wailes, Eric J. & Dixon, Bruce L. & Musliu, Arben & Durand-Morat, Alvaro, 2019. "Do coupled subsidies increase milk productivity, land use, herd size and income? Evidence from Kosovo," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 121(3), pages 134-143.
    4. Bageant, Elizabeth & Liu, Yanyan & Diao, Xinshen, 2016. "Agriculture-nutrition linkages and child health in the presence of conflict in Nepal:," IFPRI discussion papers 1515, International Food Policy Research Institute (IFPRI).
    5. Todd Benson, 2015. "Association between irrigated farming and improved nutrition in farm households in Malawi," Agrekon, Taylor & Francis Journals, vol. 54(3), pages 62-86, September.
    6. Nyang’au, Paul Nyamweya & Nzuma, Jonathan & Irungu, Patrick & Muriithi, Beatrice, 2018. "A Thesis Submitted In Partial Fulfillment Of The Requirements For The Award Of A Master Of Science Degree In Agricultural And Applied Economics, University Of Nairobi," Dissertations and Theses 276387, University of Nairobi, Department of Agricultural Economics.

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    Keywords

    Technology adoption; productivity; child nutrition; Poverty; Impact assessment; poverty alleviation; propensity score matching;
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