IDEAS home Printed from https://ideas.repec.org/p/ags/aare11/100698.html
   My bibliography  Save this paper

A whole farm comparison of irrigated cotton rotations in the Lower Namoi Valley, NSW

Author

Listed:
  • Powell, Janine
  • Scott, J. Fiona

Abstract

A whole farm budget for a representative farm in the Lower Namoi Valley in northern NSW was used to analyse the financial implications of a comparative rotational experiment of four cotton-based rotations conducted in recent years at the Australian Cotton Research Institute, near Narrabri. The model was used to compare the rotations, which highlighted the importance of crop selection for the financial performance of the business. Apart from providing a broad brush picture of financial performance, the model also had a stochastic component which was used to analyse the effect of variable commodity prices on the whole farm profitability of each rotation. Mean results indicated a positive return for all rotations within the representative farm budgets for the Lower Namoi Valley, indicating that given restricted irrigation water availability and average commodity prices, each rotation would ensure that the business returned a profit. The rotations varied in resilience to commodity price variability from 74% to 99.5% probability to return a positive farm operating surplus.

Suggested Citation

  • Powell, Janine & Scott, J. Fiona, 2011. "A whole farm comparison of irrigated cotton rotations in the Lower Namoi Valley, NSW," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100698, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare11:100698
    DOI: 10.22004/ag.econ.100698
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/100698/files/Powell%20J.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.100698?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
    ---><---

    More about this item

    Keywords

    Financial Economics; Research Methods/ Statistical Methods;

    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:aare11:100698. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/aaresea.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.