[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1328.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.ifpri.org/sites/default/files/publications/ifpridp01328.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. repec:ags:ijag24:346843 is not listed on IDEAS
    6. Benson, Todd, 2016. "Association between irrigated farming and improved nutrition in farm households in Malawi," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 54(3), January.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kabunga, Nassul, 2014. "Adoption and Impact of Improved Cow Breeds on Household Welfare and Child Nutrition Outcomes: Empirical Evidence from Uganda," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170517, Agricultural Economics Society.
    2. Dan Pan, 2014. "The Impact of Agricultural Extension on Farmer Nutrient Management Behavior in Chinese Rice Production: A Household-Level Analysis," Sustainability, MDPI, vol. 6(10), pages 1-22, September.
    3. Paudel, G. & Krishna, V. & McDonald, A., 2018. "Why some inferior technologies succeed? Examining the diffusion and impacts of rotavator tillage in Nepal Terai," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277149, International Association of Agricultural Economists.
    4. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'souza, Alwin, 2016. "Impact of contracts in high yielding varieties seed production on profits and yield: The case of Nepal," Food Policy, Elsevier, vol. 62(C), pages 110-121.
    5. Duong, Pham Bao & Thanh, Pham Tien, 2019. "Adoption and effects of modern rice varieties in Vietnam: Micro-econometric analysis of household surveys," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 282-292.
    6. Ali, Akhter & Hussain, Imtiaz & Rahut, Dil Bahadur & Erenstein, Olaf, 2018. "Laser-land leveling adoption and its impact on water use, crop yields and household income: Empirical evidence from the rice-wheat system of Pakistan Punjab," Food Policy, Elsevier, vol. 77(C), pages 19-32.
    7. Bjorn Van Campenhout & Haruna Sekabira & Fiona Nattembo, 2015. "Uganda - A new set of utility consistent poverty line," WIDER Working Paper Series 129, World Institute for Development Economic Research (UNU-WIDER).
    8. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    9. Del Prete, Davide & Ghins, Léopold & Magrini, Emiliano & Pauw, Karl, 2019. "Land consolidation, specialization and household diets: Evidence from Rwanda," Food Policy, Elsevier, vol. 83(C), pages 139-149.
    10. Kodjo Adandohoin & Vigninou Gammadigbe, 2022. "The revenue efficiency consequences of the announcement of a tax transition reform: The case of WAEMU countries," African Development Review, African Development Bank, vol. 34(S1), pages 195-218, July.
    11. Démurger, Sylvie & Wang, Xiaoqian, 2016. "Remittances and expenditure patterns of the left behinds in rural China," China Economic Review, Elsevier, vol. 37(C), pages 177-190.
    12. Jerzy Michalek & Pavel Ciaian & Jan Pokrivcak, 2018. "The impact of producer organisations on farm performance: A case study of large farms in Slovakia," JRC Research Reports JRC108059, Joint Research Centre.
    13. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2018. "Are farms in less favored areas less efficient?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 3-12, January.
    14. Ugur, Mehmet & Trushin, Eshref, 2018. "Asymmetric information and heterogeneous effects of R&D subsidies: evidence on R&D investment and employment of R&D personel," Greenwich Papers in Political Economy 21943, University of Greenwich, Greenwich Political Economy Research Centre.
    15. Manuela Deidda & Adriana Di Liberto & Marta Foddi & Giovanni Sulis, 2015. "Employment subsidies, informal economy and women’s transition into work in a depressed area: evidence from a matching approach," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-25, December.
    16. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    17. Heinrich, Carolyn J. & Mueser, Peter R. & Troske, Kenneth & Jeon, Kyung-Seong & Kahvecioglu, Daver C., 2009. "New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program," IZA Discussion Papers 4569, Institute of Labor Economics (IZA).
    18. Bjorn van Campenhout & Haruna Sekabira & Fiona Nattembo, 2015. "Uganda - A new set of utility consistent poverty lines," WIDER Working Paper Series wp-2015-129, World Institute for Development Economic Research (UNU-WIDER).
    19. Simone Bertoli & Francesca Marchetta, 2014. "Migration, Remittances and Poverty in Ecuador," Journal of Development Studies, Taylor & Francis Journals, vol. 50(8), pages 1067-1089, August.
    20. Liane Faltermeier & Awudu Abdulai, 2009. "The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 365-379, May.

    More about this item

    Keywords

    Technology adoption; productivity; child nutrition; Poverty; Impact assessment; poverty alleviation; propensity score matching;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fpr:ifprid:1328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.