IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Modelling Options for Policy Impact Analysis on African Dairy Farms

Listed author(s):
  • Oghaiki Asaah NDAMBI

    (IFCN Dairy Research Center at the Department of Agricultural Sciences, University of Kiel, Germany)

Registered author(s):

    Studies on the priorities for agricultural research in Eastern and Central Africa concluded that milk is the most important commodity for research and development in the region, based on its potential contribution to the agricultural GDP. It has been presumed that, the right policies, marketing systems and technical support must be sought for dairy development in Africa. In order to determine the right development pattern, appropriate analytical tools must be applied. The TIPICAL (Technology Impact Policy Impact model) was used to analyse the impact of different policies on two typical dairy farming systems in Uganda, which account for more than 70% of milk produced in the country. Seven influential policy areas were also identified: provision of veterinary services, consumption promotion, marketing promotion, input provision, credit access improvement, milk quality improvement and genetic improvement. In general, the policy impacts are very little on farms with local cows but can be magnified up to threefold, if the farms have graded cows. Policies which improve farmers’ accessibility to markets have the greatest impacts. The results obtained from this model were compared to those using the EXTRAPOLATE model. This comparison shows that both models could complement each other in analysing policy impacts on African dairy farms. However, differences in results from the models indicate that more focus should be made on farmers’ willingness to adopt new technology.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Article provided by "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration in its journal Economics and Applied Informatics.

    Volume (Year): (2008)
    Issue (Month): 1 ()
    Pages: 47-54

    in new window

    Handle: RePEc:ddj:fseeai:y:2008:i:1:p:47-54
    Contact details of provider: Postal:
    No. 59-61, Nicolae Balcescu Street, Postal Code 800008, Galati

    Phone: (0040) 336.130.242
    Fax: (0040) 336.130.242
    Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ddj:fseeai:y:2008:i:1:p:47-54. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gianina Mihai)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.