IDEAS home Printed from https://ideas.repec.org/a/lif/jrgelg/v1y2012p124-138.html
   My bibliography  Save this article

Assessing the Impact of Dairy Policies on Farm-Level Profits in Dairy Farms in Bangladesh: Benchmarking for Rural Livelihoods Improvement Policy

Author

Listed:
  • M.M. Uddin

    (Bangladesh Agricultural University)

  • M.N. Sultana
  • B. Bruermer
  • K.J. Peters

Abstract

The objective of this study was to benchmark the set of dairy supporting policies on farm level profit in smallscale dairy farmers and also analyse how improved dairy support services and adoption of technologies enhance rural livelihoods. This study applies the International Farm Comparison Network (IFCN) method. The data were analysed by utilizing the extended version of TIPI-CAL (Technology Impact Policy Impact Calculations) model (TIPI-CAL software version 5.1). The improved dairy support services: marketing access (IM-MKS), veterinary services (IM-VHS), feeding and nutritional services (IM-FNS), community based fodder production system (CB-FPS), national breeding programme (NL-BRP) showed the highest impact on milk yield, entrepreneur’s profit and household income in all three production systems compared with its base line farms. The extensive and traditional systems were responding more to the proposed policies to increase the entrepreneur’s profits compared with intensive production systems. Adoption of policy increases the daily household income above the absolute poverty line (1US$/day). This study results could be useful for prioritizing the policies on delivery of support services and technology and are expected to be helpful as a benchmark to implement the ‘draft policy proposal’ by the Ministry of Fisheries and Livestock (MOFL) in Bangladesh

Suggested Citation

  • M.M. Uddin & M.N. Sultana & B. Bruermer & K.J. Peters, 2012. "Assessing the Impact of Dairy Policies on Farm-Level Profits in Dairy Farms in Bangladesh: Benchmarking for Rural Livelihoods Improvement Policy," Journal of Reviews on Global Economics, Lifescience Global, vol. 1, pages 124-138.
  • Handle: RePEc:lif:jrgelg:v:1:y:2012:p:124-138
    as

    Download full text from publisher

    File URL: http://www.lifescienceglobal.com/home/cart?view=product&id=289
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Mohammad Shamsuddoha & Tasnuba Nasir & Niamat Ullah Ibne Hossain, 2023. "A Sustainable Supply Chain Framework for Dairy Farming Operations: A System Dynamics Approach," Sustainability, MDPI, vol. 15(10), pages 1-14, May.

    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:lif:jrgelg:v:1:y:2012:p:124-138. 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: Faisal Ameer Khan (email available below). General contact details of provider: http://www.lifescienceglobal.com .

    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.