IDEAS home Printed from https://ideas.repec.org/p/ags/aaea15/205053.html
   My bibliography  Save this paper

Optimal Coverage Level and Producer Participation in Supplemental Coverage Option in Yield and Revenue Protection Crop Insurance

Author

Listed:
  • Adhikari, Shyam

Abstract

The 2014 Farm bill included a new supplementary coverage option (SCO) to provide additional protection against shallow losses not covered by the individual crop plans. SCO indemnification triggers off of county yields or revenues whereas individual plans trigger off of the individual farmers’ yields or revenue. In this paper we examine the impact of supplementary coverage option on the optimum producer coverage level. Our findings indicate that the individual plan with SCO provides better protection but is distortionary to the current choice of coverage level. The new optimal coverage level choice is likely to differ and vary in counties depending upon the counties’ respective yield variability.

Suggested Citation

  • Adhikari, Shyam, 2015. "Optimal Coverage Level and Producer Participation in Supplemental Coverage Option in Yield and Revenue Protection Crop Insurance," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205053, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205053
    DOI: 10.22004/ag.econ.205053
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/205053/files/Optimal%20Coverage%20SCO_R.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.205053?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. Shaik, Saleem & Coble, Keith H. & Knight, Thomas O. & Baquet, Alan E. & Patrick, George F., 2008. "Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(3), pages 757-766, December.
    2. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2013. "Yield Guarantees and the Producer Welfare Benefits of Crop Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-15, April.
    3. Brian Wansink, 2003. "Farmers' Preferences for Crop Insurance Attributes," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(2), pages 415-429.
    4. Harun Bulut & Keith J. Collins & Thomas P. Zacharias, 2012. "Optimal Coverage Level Choice with Individual and Area Insurance Plans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 1013-1023.
    5. Shyam Adhikari & Eric J. Belasco & Thomas O. Knight, 2010. "Spatial producer heterogeneity in crop insurance product decisions within major corn producing states," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 66-78, May.
    6. Anderson, John D. & Harri, Ardian & Coble, Keith H., 2009. "Techniques for Multivariate Simulation from Mixed Marginal Distributions with Application to Whole-Farm Revenue Simulation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-15, April.
    7. Mario J. Miranda, 1991. "Area-Yield Crop Insurance Reconsidered," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 233-242.
    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. Mbonane, Nobuhle Duduzile, 2018. "An analysis of farmers’ preferences for crop insurance: a case of maize farmers in Swaziland," Research Theses 334771, Collaborative Masters Program in Agricultural and Applied Economics.
    2. Woodard, Joshua, 2016. "Estimation of Insurance Deductible Demand under Endogenous Premium Rates," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236151, Agricultural and Applied Economics Association.
    3. Jørgensen, Sisse Liv & Termansen, Mette & Pascual, Unai, 2020. "Natural insurance as condition for market insurance: Climate change adaptation in agriculture," Ecological Economics, Elsevier, vol. 169(C).
    4. Adhikari, Shyam & Luitel, Kishor, 2016. "Comparative Analysis of Producer Welfare Benefits of Yield Substitution and Yield Exclusion," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235567, Agricultural and Applied Economics Association.
    5. Zhong, Ling & Nie, Jiajia & Yue, Xiaohang & Jin, Minyue, 2023. "Optimal design of agricultural insurance subsidies under the risk of extreme weather," International Journal of Production Economics, Elsevier, vol. 263(C).
    6. Ranjan Kumar Ghosh & Shweta Gupta & Vartika Singh & Patrick S. Ward, 2021. "Demand for Crop Insurance in Developing Countries: New Evidence from India," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 293-320, February.
    7. Shyam Adhikari & Eric J. Belasco & Thomas O. Knight, 2010. "Spatial producer heterogeneity in crop insurance product decisions within major corn producing states," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 66-78, May.
    8. Filiptseva, Anna & Filler, Günther & Odening, Martin, 2022. "Compensation Options for Quarantine Costs in Plant Production," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329595, German Association of Agricultural Economists (GEWISOLA).
    9. Francis Tsiboe & Jesse Tack, 2022. "Utilizing Topographic and Soil Features to Improve Rating for Farm‐Level Insurance Products," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 52-69, January.
    10. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    11. Chen, Shu-Ling & Miranda, Mario J., 2006. "Modeling Yield Distribution In High Risk Counties: Application To Texas Upland Cotton," 2006 Annual meeting, July 23-26, Long Beach, CA 21392, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Quentin Stoeffler & Michael Carter & Catherine Guirkinger & Wouter Gelade, 2022. "The Spillover Impact of Index Insurance on Agricultural Investment by Cotton Farmers in Burkina Faso," The World Bank Economic Review, World Bank, vol. 36(1), pages 114-140.
    13. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2012. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward-Trending Yields," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-10, December.
    14. Glauber, Joseph W., 2017. "Agricultural insurance and the WTO:," IFPRI book chapters, in: Bouët, Antoine & Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 10, International Food Policy Research Institute (IFPRI).
    15. KASHIWAGI Yuzuka & TODO Yasuyuki, 2022. "Trade Disruption and Risk Perception," Discussion papers 22086, Research Institute of Economy, Trade and Industry (RIETI).
    16. Paulson, Nicholas D. & Babcock, Bruce A., 2008. "Get a Grip: Should Area Revenue Coverage Be Offered Through the Farm Bill or as a Crop Insurance Program?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(2), pages 1-17.
    17. Park, Eunchun & Brorsen, B. Wade & Harri, Ardian, 2016. "Using Bayesian Spatial Smoothing and Extreme Value Theory to Develop Area-Yield Crop Insurance Rating," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235754, Agricultural and Applied Economics Association.
    18. Li, Jiangcheng & Zhang, Chunmin & Liu, Jifa & Li, Zhen & Yang, Xuan, 2018. "An application of Mean Escape Time and metapopulation on forestry catastrophe insurance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 312-323.
    19. Gerlt, Scott & Thompson, Wyatt & Miller, Douglas, 2014. "Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-18.
    20. Porth, Lysa & Tan, Ken Seng & Zhu, Wenjun, 2016. "A Relational Model for Predicting Farm-Level Crop Yield Distributions in the Absence of Farm-Level Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236278, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Crop Production/Industries; Risk and Uncertainty;

    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:aaea15:205053. 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.