IDEAS home Printed from https://ideas.repec.org/p/ags/ifma02/6945.html

Optimal Length of Leys in an Area with Winter Damage Problems – Optimal Economic Lengths of Leys

Author

Listed:
  • Hegrenes, Agnar
  • Lien, Gudbrand D.
  • Hardaker, J. Brian

Abstract

The optimal economic life cycle of grass leys with winter damage problems in northern Norway and the threshold of winter damage before it is profitable to re-seed grasses are investigated. The loss in profit of a sub-optimal strategy compared to an optimal strategy is briefly discussed. An infinite horizon stochastic dynamic programming model including a normally distributed yield process with possibilities for discrete downward jumps is developed. The jump process reflects the sudden drop in production after winter damage. Normally the yield of ley increases the first few years after a year with downward jump, and this dynamic is included in the model. The transition probabilities used in the model are estimated with Monte Carlo simulation. Our result show that, in the case of winter damage of 50% or more compared to fields without winter damage, it is optimal to replace the ley immediately. If the winter damage is limited to 20-40% of the yield of fields without winter damage, the replacement decision depends on the age of the ley and the current yield level. It does not always pay to replace immediately mildly winter damaged fields that are still producing high yields. It does not pay to replace a ley if there has been no winter damage since establishment and if the relative yield level is ‘satisfactory’ at least until the first episode of winter damage occurs.

Suggested Citation

  • Hegrenes, Agnar & Lien, Gudbrand D. & Hardaker, J. Brian, 2002. "Optimal Length of Leys in an Area with Winter Damage Problems – Optimal Economic Lengths of Leys," 13th Congress, Wageningen, The Netherlands, July 7-12, 2002 6945, International Farm Management Association.
  • Handle: RePEc:ags:ifma02:6945
    DOI: 10.22004/ag.econ.6945
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/6945/files/cp02he01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.6945?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. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    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. Zanini, Fabio C. & Irwin, Scott H. & Schnitkey, Gary D. & Sherrick, Bruce J., 2000. "Estimating Farm-Level Yield Distributions For Corn And Soybeans In Illinois," 2000 Annual meeting, July 30-August 2, Tampa, FL 21720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Britz, Wolfgang & Arata, Linda, 2016. "How important are crop shares in managing risk for specialized arable farms? A panel estimation of a programming model for three European regions," 2016 Fifth AIEAA Congress, June 16-17, 2016, Bologna, Italy 242316, Italian Association of Agricultural and Applied Economics (AIEAA).
    3. Norwood, F. Bailey & Roberts, Matthew C. & Lusk, Jayson L., 2002. "How Are Crop Yields Distributed?," 2002 Annual meeting, July 28-31, Long Beach, CA 19733, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Ahumada, Omar & Rene Villalobos, J. & Nicholas Mason, A., 2012. "Tactical planning of the production and distribution of fresh agricultural products under uncertainty," Agricultural Systems, Elsevier, vol. 112(C), pages 17-26.
    5. repec:isu:genstf:201501010800005371 is not listed on IDEAS
    6. Makki, Shiva S. & Somwaru, Agapi, 2002. "Asymmetric Information In Cotton Insurance Markets: Evidence From Texas," 2002 Annual meeting, July 28-31, Long Beach, CA 19827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Shen, Zhiwei, "undated". "Adaptive local parametric estimation of crop yields: implication for crop insurance ratemaking," 156th Seminar, October 4, 2016, Wageningen, The Netherlands 249984, European Association of Agricultural Economists.
    8. Makki Shiva S. & Somwaru Agapi L., 2007. "Assessing Adverse Selection in Crop Insurance Markets: An Application of Parametric and Nonparametric Methods," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 2(1), pages 1-22, May.
    9. Donoso, Guillermo, . "A decision framework for a farmer who is risk averse in the Arrow-Pratt sense and downside risk averse," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 14(02), pages 1-22.
    10. 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).
    11. Medina, Felipe & Iglesias, Ana, 2008. "Economic Feasibility of Organic Farms and Risk Management Strategies," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44065, European Association of Agricultural Economists.
    12. Li, Shuang & Ker, Alan P., 2013. "An Assessment of the Canadian Federal-Provincial Crop Production Insurance Program under Future Climate Change Scenarios in Ontario," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151213, Agricultural and Applied Economics Association.
    13. Vitor A. Ozaki & Sujit K. Ghosh & Barry K. Goodwin & Ricardo Shirota, 2008. "Spatio-Temporal Modeling of Agricultural Yield Data with an Application to Pricing Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 951-961.
    14. Arora, Gaurav & Agarwal, Sandip K., 2020. "Agricultural input use and index insurance adoption: Concept and evidence," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304508, Agricultural and Applied Economics Association.
    15. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2012. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 225-237.
    16. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    17. Chen, Xiaomei & Wang, H. Holly & Makus, Larry D., 2007. "Production Risk and Crop Insurance Effectiveness: Organic Versus Conventional Apples," SCC-76 Meeting, 2007, March 15-17, Gulf Shores, Alabama 9381, SCC-76: Economics and Management of Risk in Agriculture and Natural Resources.
    18. Just, Richard E. & Just, David R., 2011. "Global identification of risk preferences with revealed preference data," Journal of Econometrics, Elsevier, vol. 162(1), pages 6-17, May.
    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. Deng, Xiaohui & Barnett, Barry J. & Hoogenboom, Gerrit & Yu, Yingzhuo & Garcia, Axel, 2006. "Evaluating the Efficiency of Crop Index Insurance Products," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35333, Southern Agricultural Economics Association.
    21. Boyer, Christopher M. & Lambert, Dayton M. & Larson, James A. & Tyler, Donald, "undated". "Investment Analysis of Long-term Cover Crops and Tillage Systems on Cotton Production," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258525, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    ;

    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:ifma02:6945. 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/ifmaaea.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.