IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v2y2017i1id60247.html

Modeling the Effect of Population and Population Augmented Industrialization on Forestry Resources

Author

Listed:
  • Shyam Sundar

    (Pranveer Singh Institute of Technology)

  • Niranjan Swaroop

    (Pranveer Singh Institute of Technology, Kanpur-209305.)

  • Ram Naresh

    (School of Basic and Applied Sciences, Harcourt Butler Technical University, Kanpur-208002.)

Abstract

It is well known that rapid growth of population and population augmented industrialization has become a horrible threat for our environment causing the decline of forestry resources. We propose a mathematical model to study the effect of population and population density dependent industrialization on forestry resources. It is assumed that the industrialization grows logistically but its growth is further enhanced due to over population. It is shown that if the population and associated industrialization increase, the density of forestry resources decreases. Numerical simulation has also been conducted to support the analytical findings.

Suggested Citation

  • Shyam Sundar & Niranjan Swaroop & Ram Naresh, 2017. "Modeling the Effect of Population and Population Augmented Industrialization on Forestry Resources," European Journal of Engineering and Technology Research, European Open Science, vol. 2(1), pages 65-70, January.
    • Handle: RePEc:epw:ejeng0:v:2:y:2017:i:1:id:60247
    DOI: 10.24018/ejeng.2017.2.1.247
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60247
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60247/11742
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2017.2.1.247?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

    ;
    ;
    ;
    ;
    ;

    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:epw:ejeng0:v:2:y:2017:i:1:id:60247. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.