IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/277971.html
   My bibliography  Save this article

Analysis and Dynamic Prediction of Ecological Environment Development Capacity of Qingshui River Basin

Author

Listed:
  • XU,Rongmin

Abstract

The Ecological Footprint and Development Capacity Model were used to analyze the ecological environment development capability of the Qingshui River Basin from 2000 to 2015. On this basis, the ecological environment development capacity of the Qingshui River Basin from 2016 to 2020 was dynamically predicted using the GM(1, 1) model. The results showed that the Qingshui River Basin has a strong capacity for sustainable development of the ecological environment, but it is increasingly stressed by the ecological carrying capacity. The potential unsustainability of the ecological environment is facing severe challenges. In the next 5 years, the development capacity of the ecological environment will show a growth trend, but the increase is not large, reflecting the limited development potential. Its capacity for sustainable development needs to be improved.

Suggested Citation

  • XU,Rongmin, 2018. "Analysis and Dynamic Prediction of Ecological Environment Development Capacity of Qingshui River Basin," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 10(05), May.
    • Handle: RePEc:ags:asagre:277971
    DOI: 10.22004/ag.econ.277971
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277971/files/Analysis%20and%20Dynamic%20Prediction%20of%20Ecological%20Environment%20Development%20Capacity%20of%20Qingshui%20River%20Basin.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.277971?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:277971. 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.