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Distributional Impact of Agricultural Technology Adoption on Rice Farmers’ Expenditure: The Case of Nigeria in Benin

Author

Listed:
  • Didier Yélognissè Alia

    (University of Kentucky,)

  • Aliou Diagne

    (Université Gaston Berger)

  • Patrice Adegbola

    (Institut National de la Recherche Agricole du Benin)

  • Florent Kinkingninhoun

    (Africa Rice Center)

Abstract

In this paper, we assess the impact of Nerica, a family of high-yielding hybrid rice varieties, on welfare in Benin. Our empirical analysis utilizes instrumental variable and quantile treatment effects methods to estimate the impacts of cultivating Nerica on welfare along the income distribution. We find that Nerica adoption increases households’ expenditure across the entire distribution of income. The quantile treatment effects are statistically different from the average treatment effects, suggesting substantial heterogeneity in the impacts of the adoption of Nerica on welfare. We also find that, in absolute terms, the impact for farmers located in the upper half of the income distribution is the largest. However, farmers at the bottom of the income distribution also experienced large proportional increase in welfare. Altogether, our results suggest that the adoption of improved rice seeds reduces poverty and has the potential to contribute to the reduction of income inequality among farmers.

Suggested Citation

  • 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.
    • Handle: RePEc:afe:journl:v:20:y:2018:i:2:p:91-103
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    References listed on IDEAS

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    1. Hossain, Mahabub & Lewis, David & Bose, Manik L. & Chowdhury, Alamgir, 2003. "Rice research, technological progress, and impacts on the poor: the Bangladesh case (summary report)," EPTD discussion papers 110, International Food Policy Research Institute (IFPRI).
    2. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    3. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    4. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
    5. Rose Fiamohe & Didier Y. Alia & Ibrahima Bamba & Aliou Diagne & Eyram Amovin-Assagba, 2015. "Transmission of Rice Prices from Thailand into West African Markets: The Case of Benin, Mali, and Senegal," Journal of African Business, Taylor & Francis Journals, vol. 16(1-2), pages 128-143, January.
    6. Adekambi, Souleimane Adeyemi & Diagne, Aliou & Simtowe, Franklin & Biaou, Gauthier, 2009. "The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin," 2009 Conference, August 16-22, 2009, Beijing, China 51645, International Association of Agricultural Economists.
    7. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    8. Markus Frölich & Blaise Melly, 2013. "Unconditional Quantile Treatment Effects Under Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 346-357, July.
    9. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    10. Markus Frolich & Blaise Melly, 2010. "Estimation of quantile treatment effects with Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 423-457, September.
    11. 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.
    12. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    13. Didier Yelognisse Alia & Katia A.S.M. Jossa-Jouable Alia & Edwige Rose Fiamohe, 2016. "On poverty and the persistence of poverty in Benin," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(4), pages 661-676, September.
    14. Yoko KIJIMA & Dick SSERUNKUUMA & Keijiro OTSUKA, 2006. "How Revolutionary Is The “Nerica Revolution”? Evidence From Uganda," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 252-267, June.
    15. Bezu, Sosina & Holden, Stein, 2014. "Are Rural Youth in Ethiopia Abandoning Agriculture?," World Development, Elsevier, vol. 64(C), pages 259-272.
    16. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    17. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    18. Yoko Kijima & Keijiro Otsuka & Dick Sserunkuuma, 2008. "Assessing the impact of NERICA on income and poverty in central and western Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 38(3), pages 327-337, May.
    19. 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.
    20. 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.
    21. Minten, Bart & Barrett, Christopher B., 2008. "Agricultural Technology, Productivity, and Poverty in Madagascar," World Development, Elsevier, vol. 36(5), pages 797-822, May.
    22. Melinda Smale & Nicole Mason, 2014. "Hybrid Seed and the Economic Well-Being of Smallholder Maize Farmers in Zambia," Journal of Development Studies, Taylor & Francis Journals, vol. 50(5), pages 680-695, May.
    23. 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.
    24. Gilbert Onionkiton Adjimoti & George Tsey-Mensah Kwadzo & Daniel Bruce Sarpong & Edward Ebo Onumah, 2017. "Input Policies and Crop Diversification: Evidence from the Collines Region in Benin," African Development Review, African Development Bank, vol. 29(3), pages 512-523, September.
    25. Diagne, Aliou & Alia, Didier Y. & Wopereis, Marco C.S. & Saito, Kazuki, 2012. "Impact of Rice Research on Income and Poverty in Africa: An Ex-ante Analysis," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126874, International Association of Agricultural Economists.
    26. 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.
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    2. Martinson Ankrah Twumasi & Abbas Ali Chandio & Ghulam Raza Sargani & Isaac Asare & Huaquan Zhang, 2022. "Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana," Sustainability, MDPI, vol. 14(15), pages 1-15, July.

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    More about this item

    Keywords

    Improved seeds; Nerica; Distributional impacts; Hoover; Benin;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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