IDEAS home Printed from https://ideas.repec.org/p/fpr/prnote/178949.html

Lessons from the Digital Agricultural Advisory Services (DAAS) project in Ethiopia: Wheat use case

Author

Listed:
  • Abate, Gashaw T.
  • McNamara, Brian
  • Bonilla, Juan
  • Asrat, Daniel T.
  • Spielman, David J.

Abstract

Agricultural extension services are a cornerstone of rural development and a vital instrument for policymakers to directly shape economic, social, and environmental outcomes in rural areas. These services aim to enhance farm productivity by promoting the adoption of agricultural technologies, inputs, and management practices. Through outreach, training, knowledge sharing, and learning, extension activities help bridge the gap between research and practice, potentially supporting more resilient and productive farming systems (Davis 2008; Jack 2013).

Suggested Citation

  • Abate, Gashaw T. & McNamara, Brian & Bonilla, Juan & Asrat, Daniel T. & Spielman, David J., 2025. "Lessons from the Digital Agricultural Advisory Services (DAAS) project in Ethiopia: Wheat use case," Project notes 178949, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:prnote:178949
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/10568/178949
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abate, Gashaw T. & Bernard, Tanguy & Makhija, Simrin & Spielman, David J., 2023. "Accelerating technical change through ICT: Evidence from a video-mediated extension experiment in Ethiopia," World Development, Elsevier, vol. 161(C).
    2. Sebsibie, Samuel & Ketema, Dessalegn Molla & Abate, Gashaw T., 2023. "Digital farmer registry and tailored extension and advisory services in Ethiopia: A process evaluation," Project notes February 2023, International Food Policy Research Institute (IFPRI).
    3. Eduardo Nakasone & Maximo Torero & Bart Minten, 2014. "The Power of Information: The ICT Revolution in Agricultural Development," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 533-550, October.
    4. Jenny C. Aker & Isaac M. Mbiti, 2010. "Mobile Phones and Economic Development in Africa," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 207-232, Summer.
    5. Jenny C. Aker & Ishita Ghosh & Jenna Burrell, 2016. "The promise (and pitfalls) of ICT for agriculture initiatives," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 35-48, November.
    6. 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).
    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. Abate, Gashaw T. & Abay, Kibrom A. & Chamberlin, Jordan & Kassim, Yumna & Spielman, David J. & Paul Jr Tabe-Ojong, Martin, 2023. "Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there?," Food Policy, Elsevier, vol. 116(C).
    2. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2020. "Language Barriers, Technology Adoption and Productivity: Evidence from Agriculture in India," NBER Working Papers 27192, National Bureau of Economic Research, Inc.
    3. Jingru Xiang & Congying Zhang, 2025. "Decoding the “Digital Code” of Happiness: Elaboration Based on Absolute Income and Relative Income," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 178(3), pages 1025-1052, July.
    4. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2019. "Technology Adoption and Access to Credit via Mobile Phones," Working Papers 892, Queen Mary University of London, School of Economics and Finance.
    5. Ting Jin & Lei Li, 2022. "Does Smartphone Use Improve the Dietary Diversity of Rural Residents? Evidence from Household Survey Data from 5 Provinces," IJERPH, MDPI, vol. 19(17), pages 1-16, September.
    6. Berazneva, Julia & Maertens, Annemie & Mhango, Wezi & Michelson, Hope, 2023. "Paying for agricultural information in Malawi: The role of soil heterogeneity," Journal of Development Economics, Elsevier, vol. 165(C).
    7. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    8. 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.
    9. Ceballos, Francisco & Chugh, Aditi & Kramer, Berber, 2024. "Impacts of personalized picture-based crop advisories: Experimental evidence from India and Kenya," IFPRI discussion papers 2322, International Food Policy Research Institute (IFPRI).
    10. Ezinne M. Emeana & Liz Trenchard & Katharina Dehnen-Schmutz, 2020. "The Revolution of Mobile Phone-Enabled Services for Agricultural Development (m-Agri Services) in Africa: The Challenges for Sustainability," Sustainability, MDPI, vol. 12(2), pages 1-27, January.
    11. Martin C. Parlasca & Oliver Mußhoff & Matin Qaim, 2020. "Can mobile phones improve nutrition among pastoral communities? Panel data evidence from Northern Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 475-488, May.
    12. Ragasa, Catherine & Ma, Ning & Hami, Emmanuel, 2024. "Farmer groups as ICT Hubs: Findings from a cluster-randomized controlled trial in Malawi," IFPRI discussion papers 2261, International Food Policy Research Institute (IFPRI).
    13. Lasdun, Violet & Harou, Aurélie & Magomba, Chris & Guereña, Davíd, 2025. "Peer learning and technology adoption in a digital farmer-to-farmer network," LSE Research Online Documents on Economics 127762, London School of Economics and Political Science, LSE Library.
    14. Estefan, Alejandro & Ordoñez, Romina & Parilli, Cristina & Winters, Paul, 2025. "Hybrid agricultural extension and the adoption of climate-resilient varieties: Evidence from oil palm in the Amazon," Food Policy, Elsevier, vol. 136(C).
    15. Galiè, Alessandra & Kramer, Berber & Spielman, David J. & Kawarazuka, Nozomi & Rietveld, Anne M. & Aju, Stellamaris, 2025. "Inclusive and gender-transformative seed systems: Concepts and applications," Agricultural Systems, Elsevier, vol. 226(C).
    16. Deng, Xin & Xu, Dingde & Zeng, Miao & Qi, Yanbin, 2019. "Does Internet use help reduce rural cropland abandonment? Evidence from China," Land Use Policy, Elsevier, vol. 89(C).
    17. Daum, Thomas & Villalba, Roberto & Anidi, Oluwakayode & Mayienga, Sharon Masakhwe & Gupta, Saurabh & Birner, Regina, 2021. "Uber for tractors? Opportunities and challenges of digital tools for tractor hire in India and Nigeria," World Development, Elsevier, vol. 144(C).
    18. Haenssgen, Marco J. & Ariana, Proochista, 2017. "The Social Implications of Technology Diffusion: Uncovering the Unintended Consequences of People’s Health-Related Mobile Phone Use in Rural India and China," World Development, Elsevier, vol. 94(C), pages 286-304.
    19. Lin Tang & Xiaofeng Luo & Yanzhong Huang & Sanxia Du & Aqian Yan, 2023. "Can smartphone use increase farmers’ willingness to participate in the centralized treatment of rural domestic sewage? Evidence from rural China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3379-3403, April.
    20. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:fpr:prnote:178949. 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/ifprius.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.