IDEAS home Printed from https://ideas.repec.org/p/cop/wpaper/g-210.html
   My bibliography  Save this paper

NIAM: National Integrated Assessment Model - Proof-of-concept development and application

Author

Listed:
  • Kevin Hanslow

Abstract

This paper describes the initial development of a national integrated assessment model, based on the MMRF model used to analyse the CPRS. The initial development was geared towards delivering a proof of concept simulation to demonstrate the feasibility of the development of such a model. In consultation with the CSIRO, it was decided that a reduction in water availability would be an appropriate simulation, being of relevance and interest, especially in the context of climate change, and entailing a realistic load of model development in the timeframe allowed.

Suggested Citation

  • Kevin Hanslow, 2010. "NIAM: National Integrated Assessment Model - Proof-of-concept development and application," Centre of Policy Studies/IMPACT Centre Working Papers g-210, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-210
    as

    Download full text from publisher

    File URL: http://www.copsmodels.com/ftp/workpapr/g-210.pdf
    File Function: Initial version, 2010-11
    Download Restriction: no

    File URL: http://www.copsmodels.com/elecpapr/g-210.htm
    File Function: Local abstract: may link to additional material.
    Download Restriction: no

    References listed on IDEAS

    as
    1. Philip Adams & Janine Dixon & James Giesecke & Mark Horridge, 2010. "MMRF: Monash Multi-Regional Forecasting Model: A Dynamic Multi-Regional Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers g-223, Victoria University, Centre of Policy Studies/IMPACT Centre.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Grundy, Michael J. & Bryan, Brett A. & Nolan, Martin & Battaglia, Michael & Hatfield-Dodds, Steve & Connor, Jeffery D. & Keating, Brian A., 2016. "Scenarios for Australian agricultural production and land use to 2050," Agricultural Systems, Elsevier, vol. 142(C), pages 70-83.

    More about this item

    Keywords

    CGE models; water; climate change;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

    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:cop:wpaper:g-210. 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: (Mark Horridge). General contact details of provider: http://edirc.repec.org/data/cpmonau.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.