IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/26208.html
   My bibliography  Save this paper

Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique

Author

Listed:
  • Michael Carter
  • Rachid Laajaj
  • Dean Yang

Abstract

The Green Revolution bolstered agricultural yields and rural well-being in Asia and Latin America, but bypassed sub-Saharan Africa. We study the first randomized controlled trial of a government-implemented input subsidy program (ISP) in Africa. A temporary subsidy for Mozambican maize farmers stimulates Green Revolution technology adoption and leads to increased maize yields. Effects of the subsidy persist in later unsubsidized years. In addition, social networks of subsidized farmers benefit from spillovers, experiencing increases in technology adoption, yields, and beliefs about the returns to the technologies. Spillovers account for the vast majority of subsidy-induced gains. ISPs alleviate informational market failures, stimulating learning about new technologies by subsidy recipients and their social networks

Suggested Citation

  • Michael Carter & Rachid Laajaj & Dean Yang, 2019. "Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique," NBER Working Papers 26208, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:26208
    Note: DEV
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w26208.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jayne, Thomas S. & Mason, Nicole M. & Burke, William J. & Ariga, Joshua, 2018. "Review: Taking stock of Africa’s second-generation agricultural input subsidy programs," Food Policy, Elsevier, vol. 75(C), pages 1-14.
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    3. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    4. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    5. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    6. Lori Beaman & Dean Karlan & Bram Thuysbaert & Christopher Udry, 2013. "Profitability of Fertilizer: Experimental Evidence from Female Rice Farmers in Mali," American Economic Review, American Economic Association, vol. 103(3), pages 381-386, May.
    7. Sarah Baird & Joan Hamory Hicks & Michael Kremer & Edward Miguel, 2016. "Worms at Work: Long-run Impacts of a Child Health Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1637-1680.
    8. Gharad Bryan & Shyamal Chowdhury & Ahmed Mushfiq Mobarak, 2014. "Underinvestment in a Profitable Technology: The Case of Seasonal Migration in Bangladesh," Econometrica, Econometric Society, vol. 82(5), pages 1671-1748, September.
    9. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    10. Annemie Maertens & Christopher B. Barrett, 2013. "Measuring Social Networks' Effects on Agricultural Technology Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 353-359.
    11. Pascaline Dupas, 2014. "Short‐Run Subsidies and Long‐Run Adoption of New Health Products: Evidence From a Field Experiment," Econometrica, Econometric Society, vol. 82(1), pages 197-228, January.
    12. Beaman, Lori & Dillon, Andrew, 2018. "Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali," Journal of Development Economics, Elsevier, vol. 133(C), pages 147-161.
    13. Jacob Ricker-Gilbert & T. S. Jayne, 2017. "Estimating the Enduring Effects of Fertiliser Subsidies on Commercial Fertiliser Demand and Maize Production: Panel Data Evidence from Malawi," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 70-97, February.
    14. 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.
    15. 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.
    16. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    17. 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.
    18. Karthik Muralidharan & Paul Niehaus, 2017. "Experimentation at Scale," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 103-124, Fall.
    Full references (including those not matched with items on IDEAS)

    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. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    2. Ram Fishman & Stephen C. Smith & Vida Bobic & Munshi Sulaiman, 2022. "Can Agricultural Extension and Input Support Be Discontinued? Evidence from a Randomized Phaseout in Uganda," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1273-1288, November.
    3. Matsumoto, Tomoya, 2014. "Disseminating new farming practices among small scale farmers: An experimental intervention in Uganda," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 43-74.
    4. Voors, Maarten & Demont, Matty & Bulte, Erwin, 2016. "New Experiments in Agriculture," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(1), pages 1-7, March.
    5. Ariel BenYishay & A. Mushfiq Mobarak, 2014. "Social Learning and Communication," NBER Working Papers 20139, National Bureau of Economic Research, Inc.
    6. Michelson, Hope & Fairbairn, Anna & Ellison, Brenna & Maertens, Annemie & Manyong, Victor, 2021. "Misperceived quality: Fertilizer in Tanzania," Journal of Development Economics, Elsevier, vol. 148(C).
    7. David Atkin & Azam Chaudhry & Shamyla Chaudry & Amit K. Khandelwal & Eric Verhoogen, 2017. "Organizational Barriers to Technology Adoption: Evidence from Soccer-Ball Producers in Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1101-1164.
    8. Songsermsawas, Tisorn & Baylis, Kathy & Chhatre, Ashwini & Michelson, Hope, 2016. "Can Peers Improve Agricultural Revenue?," World Development, Elsevier, vol. 83(C), pages 163-178.
    9. Emerick, Kyle & Kelley, Erin & De Janvry, Alain & Sadoulet, Elisabeth, 2019. "Endogenous Information Sharing and the Gains from Using Network Information to Maximize Technology Adoption," CEPR Discussion Papers 13507, C.E.P.R. Discussion Papers.
    10. Arslan, Cansın & Wollni, Meike & Oduol, Judith & Hughes, Karl, 2022. "Who communicates the information matters for technology adoption," World Development, Elsevier, vol. 158(C).
    11. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    12. Shikuku, K.M., 2018. "Information exchange links, knowledge exposure, and adoption of agricultural technologies in Northern Uganda," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275974, International Association of Agricultural Economists.
    13. Lee, Guenwoo & Suzuki, Aya & Nam, Vu Hoang, 2019. "Effect of network-based targeting on the diffusion of good aquaculture practices among shrimp producers in Vietnam," World Development, Elsevier, vol. 124(C), pages 1-1.
    14. Bloem, Jeffrey R. & Liverpool-Tasie, Saweda & Adjognon, Serge G. & Dillon, Andrew, 2022. "Private Sector Promotion of Climate-Smart Technologies: Experimental Evidence from Nigeria," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322152, Agricultural and Applied Economics Association.
    15. Ayalew, Hailemariam & Chamberlin, Jordan & Newman, Carol, 2022. "Site-specific agronomic information and technology adoption: A field experiment from Ethiopia," Journal of Development Economics, Elsevier, vol. 156(C).
    16. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    17. Stephen C. Smith & Ram Fishman & Vida BobicÌ & Munshi Sulaiman, 2017. "How Sustainable Are Benefits from Extension for Smallholder Farmers? Evidence from a Randomised Phase-Out of the BRAC Program in Uganda," Working Papers 2017-1, The George Washington University, Institute for International Economic Policy.
    18. Beaman, Lori & Dillon, Andrew, 2018. "Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali," Journal of Development Economics, Elsevier, vol. 133(C), pages 147-161.
    19. Anna Folke Larsen, 2019. "When knowledgeable neighbors also share seedlings: diffusion of banana cultivation in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 51-65, January.
    20. 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.

    More about this item

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • 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
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    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:nbr:nberwo:26208. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.