IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v100y2018i5p1469-1485..html
   My bibliography  Save this article

Input Use under Crop Insurance: The Role of Actual Production History

Author

Listed:
  • Taro Mieno
  • Cory G Walters
  • Lilyan E Fulginiti

Abstract

The impact of crop insurance on changes in input use has attracted much attention by economists. While there are a number of studies on this topic, they frame moral hazard in inputs use in a static model. However, when agricultural producers are forward-looking, they would make input allocation decisions realizing that their decisions would affect their future actual production history. This, in turn, affects the probability and size of future indemnity payments. Thus, moral hazard should be framed in a dynamic input use decision model. We first show theoretically that under certain feasible conditions, a static analysis always results in lower optimal input use when compared to a dynamic one with endogenous actual production history. This is because static models fail to recognize the role of actual production history. We then run numerical simulations using nitrogen application rates as a case study. We find that static models indicate significant reduction in nitrogen use compared to the no-insurance scenario, whereas the dynamic models with a role for actual production history indicate almost no reduction in applied nitrogen. The dynamic analysis not only suggests a near absence of moral hazard, but, for low coverage rates, it results in an optimal nitrogen rate higher than that under the no-insurance scenario. These findings illustrate the importance of recognizing the role of actual production history in mitigating moral hazard possibilities in crop insurance and the dynamic nature of moral hazard in crop insurance.

Suggested Citation

  • Taro Mieno & Cory G Walters & Lilyan E Fulginiti, 2018. "Input Use under Crop Insurance: The Role of Actual Production History," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(5), pages 1469-1485.
  • Handle: RePEc:oup:ajagec:v:100:y:2018:i:5:p:1469-1485.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aay040
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jisang Yu & Nathan P. Hendricks, 2020. "Input Use Decisions with Greater Information on Crop Conditions: Implications for Insurance Moral Hazard and the Environment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 826-845, May.
    2. Paloch Suchato & Taro Mieno & Karina Schoengold & Timothy Foster, 2022. "The potential for moral hazard behavior in irrigation decisions under crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 53(2), pages 257-273, March.
    3. Rocha, Jr., Adauto B. & Fulginiti, Lilyan E. & Perrin, Richard K. & Walters, Cory G., 2022. "What is the value of crop insurance for Nebraskan farmers?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322529, Agricultural and Applied Economics Association.
    4. Mauro Vigani & Jonas Kathage, 2019. "To Risk or Not to Risk? Risk Management and Farm Productivity," American Journal of Agricultural Economics, John Wiley & Sons, vol. 101(5), pages 1432-1454, October.
    5. Sankalp Sharma & Cory G. Walters, 2020. "Influence of farm size and insured type on crop insurance returns," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 440-452, June.
    6. Azzam, Azzeddine & Walters, Cory & Kaus, Taylor, 2021. "Does subsidized crop insurance affect farm industry structure? Lessons from the U.S," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1167-1180.
    7. Li, Hongping & Zha, Yong & Bi, Gongbing, 2023. "Agricultural insurance and power structure in a capital-constrained supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    8. Pengfei Liu & Lingling Hou & Dongqing Li & Shi Min & Yueying Mu, 2021. "Determinants of Livestock Insurance Demand: Experimental Evidence from Chinese Herders," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 430-451, June.
    9. Birthal, Pratap S. & Hazrana, Jaweriah & Negi, Digvijay S. & Mishra, Ashok K., 2022. "Assessing benefits of crop insurance vis-a-vis irrigation in Indian agriculture," Food Policy, Elsevier, vol. 112(C).

    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:oup:ajagec:v:100:y:2018:i:5:p:1469-1485.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (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.