IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-1735-8_21.html
   My bibliography  Save this book chapter

Using a Spatial Farm Microsimulation Model for Australia to Estimate the Impact of an External Shock on Farmer Incomes

In: Statistics for Data Science and Policy Analysis

Author

Listed:
  • Yogi Vidyattama

    (University of Canberra, National Centre for Social and Economic Modelling (NATSEM))

  • Robert Tanton

    (University of Canberra, National Centre for Social and Economic Modelling (NATSEM))

Abstract

A greater uncertainty in climate conditions in Australia and external price shocks in commodity prices has posed a real question for communities on the impact of these external factors on farmers. Spatial microsimulation models are ideal for understanding the spatial impacts of various external shocks, including changes in commodity prices; changes in climate conditions; and changes in Government policy. This study demonstrates the building of a spatial microsimulation model to identify farmer financial stress in the Australian State of Victoria, and then shows how this model can be used to estimate the impact of an external shock such as a drop in the price of milk. The model is estimated for the Australian State of Victoria.

Suggested Citation

  • Yogi Vidyattama & Robert Tanton, 2020. "Using a Spatial Farm Microsimulation Model for Australia to Estimate the Impact of an External Shock on Farmer Incomes," Springer Books, in: Azizur Rahman (ed.), Statistics for Data Science and Policy Analysis, chapter 0, pages 283-304, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-1735-8_21
    DOI: 10.1007/978-981-15-1735-8_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-981-15-1735-8_21. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.