IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/93463.html
   My bibliography  Save this article

Prediction of the Productive Capacity of Grain in Henan Province

Author

Listed:
  • Ren, Xin-ping

Abstract

Firstly, status of grain production in Henan Province is introduced. The rapid development of grain production has brought adequate food and clothing for Henan Province, has supported the development of industrial and agricultural production, has maintained the overall stability of the whole society, and has made great contribution to the national food security. Secondly, considering the small sample of research object, the uncertain poor information and the few restrictions on data distribution, the gray forecast is usually conducted by using time series data based on GM(1,1) Model. In order to ensure the high accuracy and the application in practical prediction, residual test is used. Thirdly, according to the grain productive data in Henan Province in the years 1996-2008, Gray Prediction Model of grain production in Henan Province is established. Simulation and prediction results are obtained by the calculation of Gray System Modeling Software, indicating that grain production of Henan Province still shows a steady rise in future, and reflecting the change law of grain production. Finally, predicted target is divided into three stages according to the planning. And analysis shows that the planning target is practical and feasible.

Suggested Citation

  • Ren, Xin-ping, 2009. "Prediction of the Productive Capacity of Grain in Henan Province," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 1(11-12), pages 1-3, December.
  • Handle: RePEc:ags:asagre:93463
    DOI: 10.22004/ag.econ.93463
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/93463/files/aar11.12-t.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.93463?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

    Agribusiness;

    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:asagre:93463. 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.