IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/53469.html
   My bibliography  Save this article

Forecast of rural gross social output value in Jiangsu Province based on optimized grey model

Author

Listed:
  • Men, Ke-pei
  • Zhang, Na

Abstract

We establish the optimized grey model with logarithm new development coefficient by screening according to the latest statistical data during 2007 in Jiangsu Province. Empirical analysis and prediction research on rural gross social output value in Jiangsu Province from the year 2008 to 2012 are carried out. Result shows that the rural gross social output value in Jiangsu Province in 2008 reached 6 169.697 billion yuan, and will be 9 511.017 billion yuan at the end of 2010, which is about 6.690 times of that in the year 2000. Target of the “Eleventh Five-Year Plan” is expected to be realized smoothly.

Suggested Citation

  • Men, Ke-pei & Zhang, Na, 2009. "Forecast of rural gross social output value in Jiangsu Province based on optimized grey model," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 1(01), pages 1-3, January.
    • Handle: RePEc:ags:asagre:53469
    DOI: 10.22004/ag.econ.53469
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/53469/files/Forecast%20of%20rural%20gross%20social%20output%20value%20in%20Jiangsu%20Province%20based%20on%20optimized%20grey%20model.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.53469?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
    ---><---

    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:asagre:53469. 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: .

    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.