Advanced Search
MyIDEAS: Login to save this article or follow this journal

Enhancing Farm Profitability through Portfolio Analysis: The Case of Spatial Rice Variety Selection

Contents:

Author Info

  • Nalley, Lawton Lanier
  • Barkely, Andrew
  • Watkins, Brad
  • Hignight, Jeffrey A.
Registered author(s):

    Abstract

    This study applies portfolio theory to rice varietal selection decisions to find profit maximizing and risk minimizing outcomes. Results based on data from six counties in the Arkansas Delta for the period 1999–2006 suggest that sowing a portfolio of rice varieties could have increased profits from 3 to 26% (depending on the location) for rice producers in the Arkansas Delta. The major implication of this research is that data and statistical tools are available for rice producers to improve the choice of rice varieties to plant each year in specific locations. Specifically, there are large potential gains from combining varieties that are characterized by inverse yield responses to growing conditions such as drought, pest infestation, or the presence of a specific disease.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://purl.umn.edu/56650
    Download Restriction: no

    Bibliographic Info

    Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

    Volume (Year): 41 (2009)
    Issue (Month): 03 (December)
    Pages:

    as in new window
    Handle: RePEc:ags:joaaec:56650

    Contact details of provider:
    Web page: http://www.saea.org/jaae/jaae.htm
    More information through EDIRC

    Related research

    Keywords: optimal variety selection; portfolio analysis; rice; Agribusiness; Crop Production/Industries; Farm Management; Production Economics; Productivity Analysis; Risk and Uncertainty; G11; Q15; Q12;

    Find related papers by JEL classification:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E., Jr., . "Measuring Technical, Allocative, and Economic Efficiency of Rice Production in Arkansas using Data Envelopment Analysis," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida, Southern Agricultural Economics Association 142962, Southern Agricultural Economics Association.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:56650. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.