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Seeking the treated: The impact of mobile extension on farmer information exchange in India

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  • Fernando, A. Nilesh

Abstract

Do digital agricultural services ‘disrupt’ in-person peer interactions that generate and spread local knowledge? To investigate, I randomize access to a mobile phone-based agricultural extension service and find that while it reduces reliance on peer agricultural advice, it does not crowd-out peer interactions. Instead, treated farmers are more likely to recommend inputs to their peers, who, in turn, prioritize interacting with them. Consequently, exposure to the treatment, directly or via peers, increases willingness-to-pay for the service. Overall, evidence on complementarities between treated respondents suggest ICT-based services may encourage peer interactions and information exchange at scale.

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  • Fernando, A. Nilesh, 2021. "Seeking the treated: The impact of mobile extension on farmer information exchange in India," Journal of Development Economics, Elsevier, vol. 153(C).
  • Handle: RePEc:eee:deveco:v:153:y:2021:i:c:s0304387821000870
    DOI: 10.1016/j.jdeveco.2021.102713
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    1. Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
    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. 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.
    4. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    5. Michael Carter & Rachid Laajaj & Dean Yang, 2021. "Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 206-229, April.
    6. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    7. Toman Barsbai & Victoria Licuanan & Andreas Steinmayr & Erwin Tiongson & Dean Yang, 2020. "Information and the Acquisition of Social Network Connections," NBER Working Papers 27346, National Bureau of Economic Research, Inc.
    8. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    9. Benjamin A. Olken, 2009. "Do Television and Radio Destroy Social Capital? Evidence from Indonesian Villages," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 1-33, October.
    10. 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.
    11. 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.
    12. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    13. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    14. Kondylis, Florence & Mueller, Valerie & Zhu, Jessica, 2017. "Seeing is believing? Evidence from an extension network experiment," Journal of Development Economics, Elsevier, vol. 125(C), pages 1-20.
    15. Stefano Caria & Simon Franklin & Marc Witte, 2023. "Searching with Friends," Journal of Labor Economics, University of Chicago Press, vol. 41(4), pages 887-922.
    16. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2019. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," NBER Working Papers 26562, National Bureau of Economic Research, Inc.
    17. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    18. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    19. Matthew Gentzkow, 2006. "Television and Voter Turnout," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 931-972.
    20. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    21. Ariel BenYishay & A. Mushfiq Mobarak, 2014. "Social Learning and Communication," NBER Working Papers 20139, National Bureau of Economic Research, Inc.
    22. Ritva Reinikka & Jakob Svensson, 2005. "Fighting Corruption to Improve Schooling: Evidence from a Newspaper Campaign in Uganda," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 259-267, 04/05.
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    Cited by:

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    2. Fang, Lan & Quan, Yurong & Mao, Hui & Chen, Shaojian, 2022. "The Information Communication Technology and Off-farm Employment of Rural Laborers: An Analysis Based on the Micro Data of China Family Panel Studies," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322088, Agricultural and Applied Economics Association.
    3. Xiang Deng & Jie Peng & Chunlin Wan, 2024. "The Impact of Internet Use on Land Productivity: Evidence from China Land Economy Survey," Land, MDPI, vol. 13(2), pages 1-21, February.
    4. Mensah,Justice Tei & Hirfrfot,Kibrom Tafere & Abay,Kibrom A., 2022. "Saving Lives through Technology : Mobile Phones and Infant Mortality," Policy Research Working Paper Series 9978, The World Bank.
    5. Runqi Lun & Wei Liu & Guojing Li & Qiyou Luo, 2024. "Does Digital Agricultural Technology Extension Service Enhance Sustainable Food Production? Evidence from Maize Farmers in China," Agriculture, MDPI, vol. 14(2), pages 1-23, February.
    6. Xiaofeng Fan & Zhaojun Wang & Yumeng Wang, 2024. "Rural Business Environments, Information Channels, and Farmers’ Pesticide Utilization Behavior: A Grounded Theory Analysis in Hainan Province, China," Agriculture, MDPI, vol. 14(2), pages 1-27, January.

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    More about this item

    Keywords

    Social interactions; Peer effects; Information exchange; Agriculture;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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