IDEAS home Printed from https://ideas.repec.org/p/ags/aaea18/274242.html
   My bibliography  Save this paper

Farmer Valuation of Improved Bean Seed Technologies: Real Auction Evidence from Tanzania

Author

Listed:
  • Morgan, Stephen N.
  • Mason, Nicole M.
  • Maredia, Mywish K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Morgan, Stephen N. & Mason, Nicole M. & Maredia, Mywish K., 2018. "Farmer Valuation of Improved Bean Seed Technologies: Real Auction Evidence from Tanzania," 2018 Annual Meeting, August 5-7, Washington, D.C. 274242, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea18:274242
    DOI: 10.22004/ag.econ.274242
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/274242/files/Abstracts_18_05_22_10_35_36_28__35_20_41_60_0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.274242?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hugo De Groote & Simon Chege Kimenju & Ulrich B. Morawetz, 2011. "Estimating consumer willingness to pay for food quality with experimental auctions: the case of yellow versus fortified maize meal in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 42(1), pages 1-16, January.
    2. William A. Masters & Diakalia Sanogo, 2002. "Welfare Gains from Quality Certification of Infant Foods: Results from a Market Experiment in Mali," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 974-989.
    3. 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.
    4. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    5. 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.
    6. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    7. Bensch, Gunther & Grimm, Michael & Peters, Jörg, 2015. "Why do households forego high returns from technology adoption? Evidence from improved cooking stoves in Burkina Faso," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 187-205.
    8. Jenny C. Aker, 2011. "Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 631-647, November.
    9. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    10. Yao Pan & Stephen C Smith & Munshi Sulaiman, 2018. "Agricultural Extension and Technology Adoption for Food Security: Evidence from Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1012-1031.
    11. Hoffmann, Vivian & Barrett, Christopher B. & Just, David R., 2009. "Do Free Goods Stick to Poor Households? Experimental Evidence on Insecticide Treated Bednets," World Development, Elsevier, vol. 37(3), pages 607-617, March.
    12. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    13. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    14. repec:clg:wpaper:2013-20 is not listed on IDEAS
    15. 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.
    16. 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.
    17. Sanogo, Diakalia & Masters, William A., 2002. "The Value Of Quality Certification For Infant Foods: Results From A Market Experiment In Mali," 2002 Annual meeting, July 28-31, Long Beach, CA 19601, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. 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.
    19. Moser, Christine M. & Barrett, Christopher B., 2003. "The disappointing adoption dynamics of a yield-increasing, low external-input technology: the case of SRI in Madagascar," Agricultural Systems, Elsevier, vol. 76(3), pages 1085-1100, June.
    20. Samuel Benin & Ephraim Nkonya & Geresom Okecho & Joseé Randriamamonjy & Edward Kato & Geofrey Lubade & Miriam Kyotalimye, 2011. "Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 42(2), pages 249-267, March.
    21. Travis J. Lybbert & Nicholas Magnan & Anil K. Bhargava & Kajal Gulati & David J. Spielman, 2013. "Farmers' Heterogeneous Valuation of Laser Land Leveling in Eastern Uttar Pradesh: An Experimental Auction to Inform Segmentation and Subsidy Strategies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 339-345.
    22. 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.
    23. Waldman, Kurt B. & Kerr, John M. & Isaacs, Krista B., 2014. "Combining participatory crop trials and experimental auctions to estimate farmer preferences for improved common bean in Rwanda," Food Policy, Elsevier, vol. 46(C), pages 183-192.
    24. 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.
    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. Morgan, Stephen N. & Mason, Nicole M. & Maredia, Mywish K., 2020. "Lead-farmer extension and smallholder valuation of new agricultural technologies in Tanzania," Food Policy, Elsevier, vol. 97(C).
    2. Arslan, Cansın & Wollni, Meike & Oduol, Judith & Hughes, Karl, 2022. "Who communicates the information matters for technology adoption," World Development, Elsevier, vol. 158(C).
    3. 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.
    4. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    5. Yoko Kijima, 2022. "Long-term and spillover effects of rice production training in Uganda," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 14(4), pages 395-415, October.
    6. Kazushi Takahashi & Yukichi Mano & Keijiro Otsuka, 2018. "Spillovers as a Driver to Reduce Ex-post Inequality Generated by Randomized Experiments: Evidence from an Agricultural Training Intervention," Working Papers 174, JICA Research Institute.
    7. Murphy, David M. A., 2017. "Underground Knowledge: Soil Testing, Farmer Learning, and Input Demand in Kenya," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258372, Agricultural and Applied Economics Association.
    8. 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.
    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. Elisabeth SADOULET, 2016. "Review of Theories of Learning for Adopting," Working Papers P163, FERDI.
    11. Vijesh V Krishna & Lagesh M Aravalath & Surjit Vikraman, 2019. "Does caste determine farmer access to quality information?," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-22, January.
    12. 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.
    13. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    14. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).
    15. 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.
    16. 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.
    17. Annemie Maertens & Hope Michelson & Vesall Nourani, 2021. "How Do Farmers Learn from Extension Services? Evidence from Malawi," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 569-595, March.
    18. Shikuku, Kelvin Mashisia, 2019. "Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda," World Development, Elsevier, vol. 115(C), pages 94-106.
    19. Varshney, Deepak & Mishra, Ashok K. & Joshi, Pramod K. & Roy, Devesh, 2022. "Social networks, heterogeneity, and adoption of technologies: Evidence from India," Food Policy, Elsevier, vol. 112(C).
    20. Takahashi, Kazushi & Mano, Yukichi & Otsuka, Keijiro, 2019. "Learning from experts and peer farmers about rice production: Experimental evidence from Cote d’Ivoire," World Development, Elsevier, vol. 122(C), pages 157-169.

    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:ags:aaea18:274242. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.