IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/161937.html
   My bibliography  Save this article

Multi-Factor Analysis Model for Improving Profit Management Using Excel in Shellfish Farming Projects

Author

Listed:
  • Zhao, Zhuming
  • Liu, Changlin
  • Shan, Xiujuan
  • Yu, Jin

Abstract

By using a farm’s data in Yantai City and the theory of Cost-Volume-Profit analysis and the financial management methods, this paper construct a multi-factor analysis model for improving profit management using Excel 2007 in Shellfish farming projects and describes the procedures to construct a multi-factor analysis model. The model can quickly calculate the profit, improve the level of profit management, find out the breakeven point and enhance the decision-making efficiency of businesses etc. It is also a thought of the application to offer suggestions for government decisions and economic decisions for corporations as a simple analysis tool. While effort has been exerted to construct a four-variable model, some equally important variables may not be discussed sufficiently due to limitation of the paper’s space and the authors’ knowledge. All variables can be listed in EXCEL 2007 and can be associated in a logical way to manage the profit of shellfish farming projects more efficiently and more practically.

Suggested Citation

  • Zhao, Zhuming & Liu, Changlin & Shan, Xiujuan & Yu, Jin, 2013. "Multi-Factor Analysis Model for Improving Profit Management Using Excel in Shellfish Farming Projects," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 5(11), pages 1-3, November.
  • Handle: RePEc:ags:asagre:161937
    DOI: 10.22004/ag.econ.161937
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/161937/files/6.PDF
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.161937?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:161937. 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.