IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-10-11-efd.html
   My bibliography  Save this paper

Adoption and Impact of Improved Groundnut Varieties on Rural Poverty: Evidence from Rural Uganda

Author

Listed:
  • Kassie, Menale
  • Shiferaw, Bekele
  • Muricho, Geoffrey

Abstract

This paper evaluates the ex-post impact of adopting improved groundnut varieties on crop income and rural poverty in rural Uganda. The study utilizes cross-sectional farm household data collected in 2006 in seven districts of Uganda. We estimated the average adoption premium using propensity score matching (PSM), poverty dominance analysis tests, and a linear regression model to check robustness of results. Poverty dominance analysis tests and linear regression estimates are based on matched observations of adopters and non-adopters obtained from the PSM. This helped us estimate the true welfare effect of technology adoption by controlling for the role of selection problem on production and adoption decisions. Furthermore, we checked covariate balancing with a standardized bias measure and sensitivity of the estimated adoption effect to unobserved selection bias, using the Rosenbaum bounds procedure. The paper computes income-based poverty measures and investigates their sensitivity to the use of different poverty lines. We found that adoption of improved groundnut technologies has a significant positive impact on crop income and poverty reduction. These results are not sensitive to unobserved selection bias; therefore, we can be confident that the estimated adoption effect indicates a pure effect of improved groundnut technology adoption.

Suggested Citation

  • 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.
    • Handle: RePEc:rff:dpaper:dp-10-11-efd
    as

    Download full text from publisher

    File URL: http://www.rff.org/RFF/documents/EfD-DP-10-11.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LLC, vol. 7(1), pages 71-83, February.
    3. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    4. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    5. Kasenge, Valentine & Taylor, Daniel B. & Bonabana-Wabbi, Jackline, 2006. "A Limited Dependent Variable Analysis of Integrated Pest Management Adoption in Uganda," 2006 Annual meeting, July 23-26, Long Beach, CA 21040, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Andreas Drichoutis & Panagiotis Lazaridis & Rodolfo Nayga, 2009. "Can Mediterranean diet really influence obesity? Evidence from propensity score matching," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(4), pages 371-388, October.
    7. Pinstrup-Andersen, Per & Pandya-Lorch, Rajul, 1995. "Agricultural growth is the key to poverty alleviation in low-income developing countries," 2020 vision briefs 15, International Food Policy Research Institute (IFPRI).
    8. 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.
    9. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    10. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    11. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    12. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
    13. repec:bla:revinw:v:40:y:1994:i:4:p:359-76 is not listed on IDEAS
    14. Paul Mosley & Sanzidur Rahman, 1999. "Impact of technological change on income distribution and poverty in Bangladesh agriculture: an empirical analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(7), pages 935-955.
    15. 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.
    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. Santi Sanglestsawai & Roderick M. Rejesus & Jose M. Yorobe Jr., 2015. "Economic impacts of integrated pest management (IPM) farmer field schools (FFS): evidence from onion farmers in the Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 149-162, March.
    2. Nazli, Hina & Orden, David & Sarker, Rakhal & Meilke, Karl D., 2012. "Bt Cotton Adoption and Wellbeing of Farmers in Pakistan," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126172, International Association of Agricultural Economists.
    3. Michael Halewood & Ana Bedmar Villanueva & Jazzy Rasolojaona & Michelle Andriamahazo & Naritiana Rakotoniaina & Bienvenu Bossou & Toussaint Mikpon & Raymond Vodouhe & Lena Fey & Andreas Drews & P. Lav, 2021. "Enhancing farmers’ agency in the global crop commons through use of biocultural community protocols," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(2), pages 579-594, June.
    4. Mausch, Kai & Chiwaula, L. & Irshad, A. & Bantilan, Ma Cynthia S. & Silim, S. & Siambi, M., 2013. "Strategic Breeding Investments for Legume Expansion: Lessons Learned from the Comparison of Groundnut and Pigeonpea," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152168, Australian Agricultural and Resource Economics Society.
    5. Kiiza, Barnabas & Pederson, Glenn, 2012. "ICT-based market information and adoption of agricultural seed technologies: Insights from Uganda," Telecommunications Policy, Elsevier, vol. 36(4), pages 253-259.
    6. Million Sileshi & Reuben Kadigi & Khamaldin Mutabazi & Stefan Sieber, 2019. "Impact of soil and water conservation practices on household vulnerability to food insecurity in eastern Ethiopia: endogenous switching regression and propensity score matching approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(4), pages 797-815, August.
    7. Kumar, K. Nirmal Ravi & Reddy, M. Jagan Mohan & Shafiwu, Adinan Bahahudeen & Reddy, A. Amaraendar, 2023. "Impact of Farmer Producer Organizations on Price and Poverty Alleviation of Smallholder Dry Chillies Farmers in India," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(3), August.
    8. Martey, Edward & Kuwornu, John K.M. & Adjebeng-Danquah, Joseph, 2019. "Estimating the effect of mineral fertilizer use on Land productivity and income: Evidence from Ghana," Land Use Policy, Elsevier, vol. 85(C), pages 463-475.
    9. Hanan Ali Alrteimei & Zulfa Hanan Ash’aari & Farrah Melissa Muharram, 2022. "Last Decade Assessment of the Impacts of Regional Climate Change on Crop Yield Variations in the Mediterranean Region," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    10. Acheampong, Patricia & Owusu, Victor, 2015. "Impact of Improved cassava varieties' adoption on farmers' incomes in Rural Ghana," 2015 Conference, August 9-14, 2015, Milan, Italy 210875, International Association of Agricultural Economists.
    11. Asante, Bright Owusu & Adabah, Richard & Agyeman, Kennedy & Ayeh, Stephen John & Aidoo, Robert & Afona, Daniel, 2021. "Preference for improved varietal attributes of Bambara groundnut among smallholder farmers in Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(2), June.
    12. Adela, F.A. & Aurbacher, J., 2018. "Access to irrigation water-poverty nexus: Application of an Endogenous Switching Regression in Ethiopia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277521, International Association of Agricultural Economists.
    13. Chakraborty, Sanjana & Mukherjee, Vivekananda, 2020. "Revisiting the Economic Costs of Arsenicosis: A PSM Approach," Ecology, Economy and Society - the INSEE Journal, Indian Society of Ecological Economics (INSEE), vol. 3(02), July.
    14. Bortamuly, Alin Borah & Goswami, Kishor, 2015. "Determinants of the adoption of modern technology in the handloom industry in Assam," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 400-409.
    15. Harris, David & Orr, Alastair, 2014. "Is rainfed agriculture really a pathway from poverty?," Agricultural Systems, Elsevier, vol. 123(C), pages 84-96.
    16. Dambala Gelo & Steven F. Koch, 2011. "The Welfare Effect of Common Property Forestry Rights:Evidence from Ethiopian Villages," Working Papers 201123, University of Pretoria, Department of Economics.
    17. Akua S. Akuffo & Kwamena K. Quagrainie, 2019. "Assessment of Household Food Security in Fish Farming Communities in Ghana," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    18. 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.

    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. 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.
    2. 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.
    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. Duvendack, Maren, 2010. "Smoke and Mirrors: Evidence of Microfinance Impact from an Evaluation of SEWA Bank in India," MPRA Paper 24511, University Library of Munich, Germany.
    5. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Bola Awotide & Arega Alene & Tahirou Abdoulaye & Victor Manyong, 2015. "Impact of agricultural technology adoption on asset ownership: the case of improved cassava varieties in Nigeria," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(6), pages 1239-1258, December.
    7. Marco Caliendo & Reinhard Hujer & Stephan L. Thomsen, 2008. "The employment effects of job-creation schemes in Germany: A microeconometric evaluation," Advances in Econometrics, in: Modelling and Evaluating Treatment Effects in Econometrics, pages 381-428, Emerald Group Publishing Limited.
    8. Bagnoli, Lisa, 2019. "Does health insurance improve health for all? Heterogeneous effects on children in Ghana," World Development, Elsevier, vol. 124(C), pages 1-1.
    9. repec:ags:bdbjaf:279932 is not listed on IDEAS
    10. 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.
    11. Ainembabazi, John Herbert & Abdoulaye, Tahirou & Feleke, Shiferaw & Alene, Arega & Dontsop-Nguezet, Paul M. & Ndayisaba, Pierre Celestin & Hicintuka, Cyrille & Mapatano, Sylvain & Manyong, Victor, 2018. "Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa," World Development, Elsevier, vol. 108(C), pages 28-46.
    12. Riccardo Turati, 2025. "Networks abroad and culture: global individual-level evidence," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-42, March.
    13. Gao, Qin & Zhai, Fuhua & Garfinkel, Irwin, 2010. "How Does Public Assistance Affect Family Expenditures? The Case of Urban China," World Development, Elsevier, vol. 38(7), pages 989-1000, July.
    14. Mason, Nicole M. & Wineman, Ayala & Kirimi, Lilian & Mather, David, 2016. "The Effects of Kenya’s ‘Smarter’ Input Subsidy Program on Smallholder Behavior and Incomes: Do Different Quasi-Experimental Approaches Lead to the Same Conclusions?," Food Security Collaborative Working Papers 232090, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    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. Duvendack, Maren & Palmer-Jones, Richard, 2011. "The microfinance of reproduction and the reproduction of microfinance: understanding the connections between microfinance, empowerment, contraception and fertility in Bangladesh in the 1990s," MPRA Paper 32384, University Library of Munich, Germany.
    17. Feddersen, Arne & Maennig, Wolfgang, 2012. "Sectoral labour market effects of the 2006 FIFA World Cup," Labour Economics, Elsevier, vol. 19(6), pages 860-869.
    18. Maren Duvendack & Richard Palmer-Jones, 2012. "High Noon for Microfinance Impact Evaluations: Re-investigating the Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 48(12), pages 1864-1880, December.
    19. Gashaw Tadesse Abate & Gian Nicola Francesconi & Gian Nicola Francesconi, 2013. "Impact of agricultural cooperatives on smallholders' technical efficiency: evidence from Ethiopia," Euricse Working Papers 1350, Euricse (European Research Institute on Cooperative and Social Enterprises).
    20. Ruifeng Liu & Zhifeng Gao & Rodolfo M. Nayga & Lijia Shi & Les Oxley & Hengyun Ma, 2020. "Can “green food” certification achieve both sustainable practices and economic benefits in a transitional economy? The case of kiwifruit growers in Henan Province, China," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 675-692, October.
    21. Emiliano Magrini & Mauro Vigani, 2016. "Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(4), pages 707-726, August.

    More about this item

    Keywords

    groundnut technology adoption; crop income; poverty alleviation; propensity score matching; switching regression; stochastic dominance; Rosenbaum bounds; Uganda;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

    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:rff:dpaper:dp-10-11-efd. 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: Resources for the Future (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.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.