IDEAS home Printed from https://ideas.repec.org/a/oup/revage/v26y2004i2p255-265..html
   My bibliography  Save this article

Downsizing an Agricultural Field Experiment Alters Economic Results: A Case Study

Author

Listed:
  • Douglas L. Young
  • Tae-Jin Kwon
  • Frank L. Young

Abstract

Downsizing the replications of an agricultural experiment altered profit and utility rankings of different cropping systems less than cutting the duration of the experiment. However, failing to plant all crops in a rotation each year altered economic rankings the most. Estimates of system profit variability, and associated economic rankings, were especially sensitive to downsizing experiment length and to failing to plant all crops in a rotation annually. Despite the scientific importance of long full-rotation experiments, short run publication pressures favoring "new data" and methodological innovations might discourage such rich experiments.

Suggested Citation

  • Douglas L. Young & Tae-Jin Kwon & Frank L. Young, 2004. "Downsizing an Agricultural Field Experiment Alters Economic Results: A Case Study," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(2), pages 255-265.
    • Handle: RePEc:oup:revage:v:26:y:2004:i:2:p:255-265.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-9353.2004.00174.x
    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.

    References listed on IDEAS

    as
    1. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, November.
    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. Jock R. Anderson, 1973. "Sparse Data, Climatic Variability, and Yield Uncertainty in Response Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(1), pages 77-82.
    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. Dilshad Ahmad & Muhammad Afzal & Abdur Rauf, 2019. "Analysis of wheat farmers’ risk perceptions and attitudes: evidence from Punjab, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(3), pages 845-861, February.
    2. Antle, John M. & Goodger, William A., 1983. "Measuring Stochastic Technology: The Case Of Tulare Milk Production," Working Papers 225708, University of California, Davis, Department of Agricultural and Resource Economics.
    3. Hinson, Roger A. & Lee, John G. & Huh, Mooyul, 1990. "Evaluation Of Selected Fresh Vegetable Terminal Markets: A Stochastic Dominance Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(2), pages 1-10, December.
    4. Gomez-Limon, Jose A. & Arriaza, Manuel & Riesgo, Laura, 2003. "An MCDM analysis of agricultural risk aversion," European Journal of Operational Research, Elsevier, vol. 151(3), pages 569-585, December.
    5. Gomez-Limon, Jose Antonio & Riesgo, Laura & Arriaza Balmón, Manuel, 2002. "Agricultural Risk Aversion Revisited: A Multicriteria Decision-Making Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24827, European Association of Agricultural Economists.
    6. Griffiths, William E. & Anderson, Jock R. & Hamal, K.B., 1987. "Subjective Distributions As Econometric Response Data," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(2), pages 1-15, August.
    7. Anderson, Jock R. & Griffiths, William E., 1982. "Production Risk And Efficient Allocation Of Resources," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 26(3), pages 1-7, December.
    8. Rosegrant, Mark W. & Roumasset, James A., 1985. "The Effect Of Fertiliser On Risk: A Heteroscedastic Production Function With Measurable Stochastic Inputs," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 29(2), pages 1-15, August.
    9. Antle, John M., 1983. "Incorporating Risk In Production Analysis," 1983 Annual Meeting, July 31-August 3, West Lafayette, Indiana 279106, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. 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," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 22(2), pages 191-197, December.
    11. Jock R. Anderson & William E. Griffiths, 1981. "Production Risk And Input Use: Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 25(2), pages 149-159, August.
    12. Loehman, Edna T. & Nelson, Carl H., 1992. "Optimal Risk Management, Risk Aversion, And Production Function Properties," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-13, December.
    13. Ritchie, John W. & Abawi, G. Yahya & Dutta, Sunil C. & Harris, Trevor R. & Bange, Michael, 2004. "Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 1-29.
    14. 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.
    15. Toland, Gerald D. Jr. & Schmiesing, Brain H. & Black, J. Roy, 1990. "A Comparison of Crop Yield Coverage Plans for Multiple Peril Crop Insurance," 1990 Annual meeting, August 5-8, Vancouver, Canada 271049, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Henty, Sam & Sinnett, Alex & Malcolm, Bill, 2022. "Economic Analysis of Ameliorating Sub-soil Constraints using Sub-soil Manure in a Cropping System," AFBM Journal, Australasian Farm Business Management Network, vol. 19(1), July.
    17. 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.
    18. John W. Ritchie & G. Yahya Abawi & Sunil C. Dutta & Trevor R. Harris & Michael Bange, 2004. "Risk management strategies using seasonal climate forecasting in irrigated cotton production: a tale of stochastic dominance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 65-93, March.
    19. Thongrak, Sutonya & Prato, Tony & Chiayvareesajja, Sommai & Kurtz, William, 1997. "Economic and water quality evaluation of intensive shrimp production systems in Thailand," Agricultural Systems, Elsevier, vol. 53(2-3), pages 121-141.
    20. Norris, Patricia E. & Kramer, Randall A., 1990. "The Elicitation of Subjective Probabilities with Applications in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(02-03), pages 1-21, December.

    More about this item

    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:oup:revage:v:26:y:2004:i:2:p:255-265.. 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: Oxford University Press or Christopher F. Baum (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.