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The yield and income effects of adoption of improved soybean varieties and agronomic practices in Malawi

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Listed:
  • Tufa, A.H.
  • Alene, A.D.
  • Manda, J.
  • Akinwale, G.

Abstract

This study assesses the impacts of adoption of improved soybean varieties and agronomic practices on soybean yields and net crop incomes in Malawi using data collected from over 1200 soybean growing households. The yield and crop income effects were analyzed using stochastic dominance analysis (SDA), propensity score matching (PSM) and inverse-probability-weighted regression adjustment (IPWRA). The results from the SDA show that the cumulative distribution functions for soybean yield and net crop income for the adopters of improved soybean varieties and agronomic practices significantly dominate those of the non-adopters. This indicates if randomly chosen, there is a higher probability that the adopters will on average have higher soybean yield and net crop income than the non-adopters. The results from the PSM and IPWRA show that adoption of improved soybean varieties and agronomic practices increase soybean yields by 193-198 kg/ha and net crop income by 24 USD/ha. This implies that adoption of improved soybean varieties and agronomic practices increases soybean yields by 20% and net crop income by 19%. The results point to the need for further scaling up of seeds of improved soybean varieties and complementary agronomic practices for greater adoption and impact on the livelihoods of smallholder farmers in Malawi. Acknowledgement : The authors are grateful to USAID and IITA for the financial support.

Suggested Citation

  • Tufa, A.H. & Alene, A.D. & Manda, J. & Akinwale, G., 2018. "The yield and income effects of adoption of improved soybean varieties and agronomic practices in Malawi," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277239, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277239
    DOI: 10.22004/ag.econ.277239
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    as
    1. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    2. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    3. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    4. 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.
    5. Mohamed Porgo & John K.M. Kuwornu & Pam Zahonogo & John Baptist D. Jatoe & Irene S. Egyir, 2017. "Credit constraints and labour allocation decisions in rural Burkina Faso," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 77(2), pages 257-274, July.
    6. Wossen, Tesfamicheal & Abdoulaye, Tahirou & Alene, Arega & Feleke, Shiferaw & Ricker-Gilbert, Jacob & Manyong, Victor & Awotide, Bola Amoke, 2017. "Productivity and Welfare Effects of Nigeria's e-Voucher-Based Input Subsidy Program," World Development, Elsevier, vol. 97(C), pages 251-265.
    7. 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.
    8. Di Zeng & Jeffrey Alwang & George W. Norton & Bekele Shiferaw & Moti Jaleta & Chilot Yirga, 2017. "Agricultural technology adoption and child nutrition enhancement: improved maize varieties in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 573-586, September.
    9. Shiferaw, Bekele & Kassie, Menale & Jaleta, Moti & Yirga, Chilot, 2014. "Adoption of improved wheat varieties and impacts on household food security in Ethiopia," Food Policy, Elsevier, vol. 44(C), pages 272-284.
    10. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    11. 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.
    12. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
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