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Impact of Improved Farm Technologies on Yields: The Case of Improved Maize Varieties and Inorganic Fertilizer in Kenya

Author

Listed:
  • Nyangena, Wilfred
  • Juma, Ogada Maurice
Abstract
This study investigates the impact of package adoption of inorganic fertilizers and improved maize seed varieties on yield among smallholder households in Kenya. We used a quasi-experimental difference-in-differences approach combined with propensity score matching to control for both time-invariant and unobservable household heterogeneity. Our findings show that inorganic fertilizers and improved maize varieties significantly increase maize yields when adopted as a package, rather than as individual elements. The impact is greater at the lower end of the yield distribution than at the upper end. A positive effect of partial adoption is experienced only in the lower quartile of yield distribution. The policy implication is that complementary agricultural technologies should be promoted as a package, and should target households and areas experiencing low yields.

Suggested Citation

  • Nyangena, Wilfred & Juma, Ogada Maurice, 2014. "Impact of Improved Farm Technologies on Yields: The Case of Improved Maize Varieties and Inorganic Fertilizer in Kenya," RFF Working Paper Series dp-14-02-efd, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-14-02-efd
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    File URL: http://www.rff.org/RFF/documents/EfD-DP-14-02.pdf
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    References listed on IDEAS

    as
    1. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    2. Esther Duflo & Michael Kremer & Jonathan Robinson, 2008. "How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya," American Economic Review, American Economic Association, vol. 98(2), pages 482-488, May.
    3. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    4. Wekesa, E. & Mwangi, Wilfred & Verkuijl, Hugo & Danda, Milton Kengo & De Groote, Hugo, 2003. "Adoption of Maize Production Technologies in the Coastal Lowlands of Kenya," Miscellaneous Reports 56109, CIMMYT: International Maize and Wheat Improvement Center.
    5. Dercon, Stefan & Christiaensen, Luc, 2011. "Consumption risk, technology adoption and poverty traps: Evidence from Ethiopia," Journal of Development Economics, Elsevier, vol. 96(2), pages 159-173, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Barrett,Christopher B. & Sheahan,Megan Britney & Barrett,Christopher B. & Sheahan,Megan Britney, 2014. "Understanding the agricultural input landscape in Sub-Saharan Africa : recent plot, household, and community-level evidence," Policy Research Working Paper Series 7014, The World Bank.
    2. Sheahan, Megan & Barrett, Christopher B., 2017. "Ten striking facts about agricultural input use in Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 12-25.
    3. 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.
    4. Gashaw Tadesse Abate & Tanguy Bernard & Alan de Brauw & Nicholas Minot, 2018. "The impact of the use of new technologies on farmers’ wheat yield in Ethiopia: evidence from a randomized control trial," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 409-421, July.
    5. Naseem, A. & Nagarajan, L. & Pray, C., 2018. "The role of maize varietal development on yields in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277321, International Association of Agricultural Economists.
    6. Dominik Naeher, 2022. "Technology Adoption Under Costly Information Processing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(2), pages 699-753, May.
    7. Didier Yélognissè Alia & Aliou Diagne & Patrice Adegbola & Florent Kinkingninhoun, 2018. "Distributional Impact of Agricultural Technology Adoption on Rice Farmers’ Expenditure: The Case of Nigeria in Benin," Journal of African Development, African Finance and Economic Association (AFEA), vol. 20(2), pages 91-103.
    8. Abay, Kibrom A. & Berhane, Guush & Taffesse, Alemayehu Seyoum & Koru, Bethlehem & Abay, Kibrewossen, 2016. "Understanding farmers’ technology adoption decisions: Input complementarity and heterogeneity:," ESSP working papers 82, International Food Policy Research Institute (IFPRI).

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    Keywords

    technology adoption; yield; difference-in-differences; Kenya;
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