IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170663.html
   My bibliography  Save this paper

Ranking Specialty Crop Profitability: Iterative Stochastic Dominance

Author

Listed:
  • Parcell, Joe
  • Cain, Wayne

Abstract

This research used stochastic dominance with respect to a function to evaluate producer preference for cropping systems under uncertainty. Six alternative cropping systems were compared for seven different crops. Many times a producer is familiar a developing market opportunity for a specialty crop and the producer has to make a production decision based on yield uncertainty. This research analyzed by how much alternative crop and bio-energy crop yields would need to change to make a producer indifferent between the most preferred (dominant) cropping system and an alternative cropping system. For the current study, the stochastic dominance results indicate that the change in yield necessary is sufficiently large enough to keep producers from accepting the risk of engaging in alternative crop or bio-energy crop production. The paper concludes with study limitations, which the reader is encouraged to review.

Suggested Citation

  • Parcell, Joe & Cain, Wayne, 2014. "Ranking Specialty Crop Profitability: Iterative Stochastic Dominance," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170663, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea14:170663
    DOI: 10.22004/ag.econ.170663
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170663/files/Ranking%20Specialty%20Crop%20Profitability%20Iterative%20Stochastic%20Dominance.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.170663?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. Johnson, C. Scott & Foster, Kenneth A., 1994. "Risk Preferences And Contracting In The U.S. Hog Industry," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(2), pages 1-13, December.
    2. Raskin, Rob & Cochran, Mark J., 1986. "Interpretations And Transformations Of Scale For The Pratt-Arrow Absolute Risk Aversion Coefficient: Implications For Generalized Stochastic Dominance," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-7, December.
    3. Wilson, Paul N. & Eidman, Vernon R., 1983. "An Empirical Test Of The Interval Approach For Estimating Risk Preferences," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(2), pages 1-13, December.
    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. Regmi, Anita, 1990. "The value of information in integrated pest management of corn rootworm and European corn borer in Minnesota," Faculty and Alumni Dissertations 307267, University of Minnesota, Department of Applied Economics.
    2. Feuz, Dillon M. & Fausti, Scott W. & Wagner, John J., 1995. "Risk And Market Participant Behavior In The U.S. Slaughter-Cattle Market," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(01), pages 1-10, July.
    3. Schurle, Bryan W. & Tierney, William I., Jr., 1990. "A Comparison of Risk Preference Measurements with Implications for Extension Programming," Staff Papers 118185, Kansas State University, Department of Agricultural Economics.
    4. Cochran, Mark J., 1986. "Stochastic Dominance: The State Of The Art In Agricultural Economics," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271995, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    5. Maynard, Leigh J. & Harper, Jayson K. & Hoffman, Lynn D., 1997. "Impact Of Risk Preferences On Crop Rotation Choice," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(01), pages 1-9, April.
    6. Ferrer, Stuart R.D. & Hoag, Dana L. & Nieuwoudt, W. Lieb, 1997. "Risk preferences of Kwazulu-Natal commercial sugar cane farmers," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 36(4), pages 1-9, December.
    7. Rehber, Erkan, 1998. "Vertical Integration In Agriculture And Contract Farming," Working Papers 25991, Regional Research Project NE-165 Private Strategies, Public Policies, and Food System Performance.
    8. Barry, Peter J. & Escalante, Cesar L. & Moss, Leeann E., 2002. "Rental Premiums For Share Versus Cash Leases," 2002 Annual meeting, July 28-31, Long Beach, CA 19684, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Unterschultz, James R., 2000. "New Instruments For Co-Ordination And Risk Sharing Within The Canadian Beef Industry," Project Report Series 24046, University of Alberta, Department of Resource Economics and Environmental Sociology.
    10. Parsch, Lucas D. & Loewer, Otto J., 1986. "Risk-Efficiency of Beef-Forage Rotational Grazing Under Weather Uncertainty," 1986 Annual Meeting, July 27-30, Reno, Nevada 278411, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Yangxuan Liu & Michael R. Langemeier & Ian M. Small & Laura Joseph & William E. Fry & Jean B. Ristaino & Amanda Saville & Benjamin M. Gramig & Paul V. Preckel, 2018. "A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    12. Brent A. Gloy & Timothy G. Baker, 2002. "The Importance of Financial Leverage and Risk Aversion in Risk-Management Strategy Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1130-1143.
    13. Featherstone, Allen M. & Moss, Charles B., 1990. "Quantifying Gains To Risk Diversification Using Certainty Equivalence In A Mean-Variance Model: An Application To Florida Citrus," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(2), pages 1-7, December.
    14. Yang, Xi & Paulson, Nicholas D. & Khanna, Madhu, 2012. "Optimal Contracts to Induce Biomass Production under Risk," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124699, Agricultural and Applied Economics Association.
    15. Key, Nigel D., 2002. "How Much Do Farmers Value Their Independence? Estimating The Risk And Autonomy Premia Associated With Production Contracts," 2002 Annual meeting, July 28-31, Long Beach, CA 19688, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Larson, James A. & Roberts, Roland K. & Tyler, Donald D. & Duck, Bob N. & Slinsky, Stephen P., 1998. "Nitrogen-Fixing Winter Cover Crops and Production Risk: A Case Study for No-Tillage Corn," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 30(1), pages 163-174, July.
    17. 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.
    18. Parsch, Lucas D. & Trice, Kalven L. & Cochran, Mark J. & Scott, H. Don, 1987. "Impact of Wheat Harvest Timeliness on Risk Efficiency of Double-Cropped Soybeans," Staff Papers 232557, University of Arkansas, Department of Agricultural Economics and Agribusiness.
    19. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    20. Purola, Tuomo & Lehtonen, Heikki, 2020. "Evaluating profitability of soil-renovation investments under crop rotation constraints in Finland," Agricultural Systems, Elsevier, vol. 180(C).

    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:aaea14:170663. 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.