IDEAS home Printed from https://ideas.repec.org/a/ags/bdbjaf/202637.html
   My bibliography  Save this article

Optimum Land Use Pattern And Resource Allocation In A Growing Economy: A Closed Model Approach

Author

Listed:
  • Alam, M. S.
  • Elias, S. M.
  • Rahman, M. M.

Abstract

The paper examines land use pattern for the small farmers at the farming systems research site, Jessore and attempts at developing optimum land use pattern considering available resources. Linear programming was used for optimizing resources. The results revealed a considerable divergence between the existing and optimum plans under both limited and borrowed capital situations. The resources were not found optimally allocated and after optimization, gross margin and employment of labour could be increased. Tractor/power tiller utilization increased under borrowed capital situation, while labour employment and tractor/power tiller utilization decreased under limited capital situation. This suggests that capital acted as a severe constraint. Cereal based cropping patterns showed dominance in both the existing and optimum plans. The optimum plans affected tenurial groups differently because of inter-tenurial variation in resource endowment and management. It is suggested that strengthening of the extension services and market network, besides a strong financial support, would go a long way in improving the prospects of the small farmers of the study area.

Suggested Citation

  • Alam, M. S. & Elias, S. M. & Rahman, M. M., 1995. "Optimum Land Use Pattern And Resource Allocation In A Growing Economy: A Closed Model Approach," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 18(2), pages 1-23, December.
  • Handle: RePEc:ags:bdbjaf:202637
    DOI: 10.22004/ag.econ.202637
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/202637/files/Article_02%20Vol-XVIII_2.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.202637?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Dan & Zhao, Xu & Shen, Lixin & Yang, Zhongzhen, 2020. "Industry choice for an airport economic zone by multi-objective optimization," Journal of Air Transport Management, Elsevier, vol. 88(C).

    More about this item

    Keywords

    Land Economics/Use;

    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:bdbjaf:202637. 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: https://edirc.repec.org/data/febaubd.html .

    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.