IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277275.html
   My bibliography  Save this paper

Farmers Willingness to Share Data: A Study of Saskatchewan Farmers

Author

Listed:
  • Turland, M.
  • Slade, P.

Abstract

Modern farm machinery captures geocoded data on all aspects of a farming operation. These detailed datasets are called big data. Although some of this data is useful to individual farmers, much of it has little value to the farmer that collects it. Capturing the true value of big data comes when it is aggregated over many farms, allowing researchers to find underlying trends. To analyze farmers willingness to share data we conduct a hypothetical choice experiment that asked farmers in Saskatchewan whether they would join a big data program. The choice tasks varied the type of organization that operated the big data program, and included financial and non-financial incentives. Heteroscedastic and random effects probit models are presented using data from a survey constructed for this study. The results are consistent across models and find that farmers are most willing to share their data with university researchers, followed by crop input suppliers or grower associations, and financial institutions or equipment manufacturers. Farmers are least willing to share their data with government. Farmers are more willing to share data in the presence of a financial incentive or non-financial incentive such as comparative benchmark statistics or prescription maps generated from the data submitted. Acknowledgement :

Suggested Citation

  • Turland, M. & Slade, P., 2018. "Farmers Willingness to Share Data: A Study of Saskatchewan Farmers," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277275, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277275
    DOI: 10.22004/ag.econ.277275
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277275/files/1530.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.277275?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. Susan Athey & Christian Catalini & Catherine Tucker, 2017. "The Digital Privacy Paradox: Small Money, Small Costs, Small Talk," NBER Working Papers 23488, National Bureau of Economic Research, Inc.
    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. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    2. Long Chen & Yadong Huang & Shumiao Ouyang & Wei Xiong, 2021. "The Data Privacy Paradox and Digital Demand," Working Papers 2021-47, Princeton University. Economics Department..
    3. Agur, Itai & Ari, Anil & Dell’Ariccia, Giovanni, 2022. "Designing central bank digital currencies," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 62-79.
    4. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    5. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    6. Yuteng Cheng & Ryuichiro Izumi, 2023. "CBDC: Banking and Anonymity," Wesleyan Economics Working Papers 2023-002, Wesleyan University, Department of Economics.
    7. Amstad, Marlene, 2019. "Regulating Fintech: Objectives, Principles, and Practices," ADBI Working Papers 1016, Asian Development Bank Institute.
    8. Dirk Bergemann & Alessandro Bonatti & Tan Gan, 2022. "The economics of social data," RAND Journal of Economics, RAND Corporation, vol. 53(2), pages 263-296, June.
    9. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    10. Jiadong Gu, 2024. "Data Trade and Consumer Privacy," Papers 2406.12457, arXiv.org, revised Jul 2024.
    11. Ratul Das Chaudhury & Chongwoo Choe, 2023. "Digital Privacy: GDPR and Its Lessons for Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 56(2), pages 204-220, June.
    12. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
    13. Koziuk Viktor & Ivashuk Yurii, 2022. "Does it Matter for CBDC Design? Privacy-Anonymity Preferences from the Side of Hierarchies and Egalitarian Cultural Patterns," Economics, Sciendo, vol. 10(1), pages 35-53, June.
    14. Jeffrey T. Prince & Scott Wallsten, 2022. "How much is privacy worth around the world and across platforms?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 841-861, November.
    15. Lesley Chiou & Catherine Tucker, 2020. "Social Distancing, Internet Access and Inequality," NBER Working Papers 26982, National Bureau of Economic Research, Inc.
    16. Cullen, Zoë & Perez-Truglia, Ricardo, 2023. "The salary taboo privacy norms and the diffusion of information," Journal of Public Economics, Elsevier, vol. 222(C).
    17. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    18. Ahnert, Toni & Assenmacher, Katrin & Hoffmann, Peter & Leonello, Agnese & Monnet, Cyril & Porcellacchia, Davide, 2022. "The economics of central bank digital currency," CEPR Discussion Papers 17617, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Research and Development/ Tech Change/Emerging Technologies;

    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:ags:iaae18:277275. 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/iaaeeea.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.