IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v89y2007i2p448-460.html
   My bibliography  Save this article

Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda

Author

Listed:
  • Ingrid Rhinehart
  • C. Michael Deom

Abstract

A procedure is developed and applied for predicting ex ante impacts of agricultural research on aggregate poverty, using as an example the poverty-reducing impact of peanut research in Uganda. Market-level information on economic surplus changes is combined with a procedure for allocating income changes to individual households. Characteristics of farmers that affect their likelihood of technology adoption are used to create a technology adoption profile. Associated changes in poverty resulting from adoption are computed using poverty indices. Predicted income changes at the household level are aggregated to the market level and reconciled with calculations of economic surplus changes. Copyright 2007, Oxford University Press.

Suggested Citation

  • Ingrid Rhinehart & C. Michael Deom, 2007. "Peanut Research and Poverty Reduction: Impacts of Variety Improvement to Control Peanut Viruses in Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 448-460.
  • Handle: RePEc:oup:ajagec:v:89:y:2007:i:2:p:448-460
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2007.00991.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    2. Seojin Cho & John M. Antle, 2024. "Price‐endogenous technology, producer welfare, and ex ante impact assessment: The case of industrial hemp," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 883-903, March.
    3. Santosh K. Sahu & Sukanya Das, 2016. "Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India," India Studies in Business and Economics, in: N.S. Siddharthan & K. Narayanan (ed.), Technology, pages 141-156, Springer.
    4. Jorge Leonardo Rueda Gil, 2017. "Cambio tecnológico y mejoras en el bienestar de los caficultores en Colombia: el caso de las variedades resistentes a la roya," Documentos CEDE 15665, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Maren Radeny & Elizaphan J. O. Rao & Maurice Juma Ogada & John W. Recha & Dawit Solomon, 2022. "Impacts of climate-smart crop varieties and livestock breeds on the food security of smallholder farmers in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1511-1535, December.
    6. Mathew Paul Ojo & Adeolu Babatunde Ayanwale, 2019. "Value chain financing and plantain production in Nigeria: an ex-ante approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-15, December.
    7. Jelliffe, Jeremy L. & Bravo-Ureta, Boris E. & Deom, C. Michael & Okello, David Kalule, 2016. "The Sustainability Of Project Outcomes From Farmer-Led Dissemination Of High-Yielding Groundnut Rosette Disease Resistant Groundnut Varieties," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246450, African Association of Agricultural Economists (AAAE).
    8. Komarek, Adam M. & Koo, Jawoo & Wood-Sichra, Ulrike & You, Liangzhi, 2018. "Spatially-explicit effects of seed and fertilizer intensification for maize in Tanzania," Land Use Policy, Elsevier, vol. 78(C), pages 158-165.
    9. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2010. "Adoption and Impact of Improved Groundnut Varieties on Rural Poverty: Evidence from Rural Uganda," RFF Working Paper Series dp-10-11-efd, Resources for the Future.
    10. Kruseman, Gideon & Dermawan, Ahmad & Diagne, Mandiaye & Enahoro, Dolapo & Frija, Aymen & Gatto, Marcel & Gbegbelegbe, Sika & Komarek, Adam M. & Mausch, Kai & Mottaleb, Khondoker, 2021. "Foresight for income and employment: What can we learn for agricultural research for development," SocArXiv 783rw, Center for Open Science.
    11. Jeremy Jelliffe & Boris E. Bravo-Ureta & C. Michael Deom & David Kalule Okello, 2016. "The Sustainability Of Farmer-Led Multiplication And Dissemination Of High-Yield And Disease Resistant Groundnut Varieties," Zwick Center Research Reports 04, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    12. George W. Norton, 2020. "Lessons from a Career in Agricultural Development and Research Evaluation," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 151-167, June.
    13. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    14. 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.
    15. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    16. Yasir A. Nasereldin & Abbas Ali Chandio & Maurice Osewe & Muhammad Abdullah & Yueqing Ji, 2023. "The Credit Accessibility and Adoption of New Agricultural Inputs Nexus: Assessing the Role of Financial Institutions in Sudan," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    17. Manda, Julius & Alene, Arega D. & Tufa, Adane H. & Abdoulaye, Tahirou & Wossen, Tesfamicheal & Chikoye, David & Manyong, Victor, 2019. "The poverty impacts of improved cowpea varieties in Nigeria: A counterfactual analysis," World Development, Elsevier, vol. 122(C), pages 261-271.
    18. Embaye, Weldensie & Hendricks, Nathan & Lilja, Nina, 2017. "Sorghum research and poverty reduction in the presence of trade distortions in Ethiopia," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(2), June.
    19. Aminata Diagne & Lota Tamini & Patrick Mundler, 2019. "Factors Explaining the Dynamics of Agricultural Technology Adoption: Evidence from Senegal's Rain Maize Farmers," CIRANO Working Papers 2019s-08, CIRANO.
    20. Minot, Nicholas & Balie, Jean & Valera, Harold Glenn A., 2021. "Prioritizing yield-increasing crop research for poverty impact: An application of microsimulation in the Philippines," 2021 Annual Meeting, August 1-3, Austin, Texas 313976, Agricultural and Applied Economics Association.
    21. Kassie, Menale & Stage, Jesper & Diiro, Gracious & Muriithi, Beatrice & Muricho, Geoffrey & Ledermann, Samuel T. & Pittchar, Jimmy & Midega, Charles & Khan, Zeyaur, 2018. "Push–pull farming system in Kenya: Implications for economic and social welfare," Land Use Policy, Elsevier, vol. 77(C), pages 186-198.
    22. Ogada, Maurice Juma & Rao, Elizaphan J.O. & Radeny, Maren & Recha, John W. & Solomon, Dawit, 2020. "Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya," World Development Perspectives, Elsevier, vol. 18(C).
    23. Jeremy L. Jelliffe & Boris E. Bravo-Ureta & C. Michael Deom & David K. Okello, 2018. "Adoption of High-Yielding Groundnut Varieties: The Sustainability of a Farmer-Led Multiplication-Dissemination Program in Eastern Uganda," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    24. Ibrahim, Mohammed & Florkowski, Wojciech, 2015. "Analysis of Farmers’ Willingness to Adopt Improved Peanut Varieties in Northern Ghana with the use of Baseline Survey Data," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 197049, Southern Agricultural Economics Association.
    25. Ibrahim, Mohammed & Florkowski, Wojciech J. & Kolavalli, Shashidhara, 2012. "Determinants of Farmer Adoption of Improved Peanut Varieties and their Impact on Farm Income: Evidence from Northern Ghana," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125000, Agricultural and Applied Economics Association.

    More about this item

    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:oup:ajagec:v:89:y:2007:i:2:p:448-460. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.