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

Cotton Production in Uganda: Would GM technologies be the Solution?

Listed author(s):
  • Horna, J. Daniela
  • Kyotalimye, Miriam
  • Falck-Zepeda, Jose Benjamin

The government of Uganda is currently testing the performance of genetically modified (GM) cotton varieties. Cotton is cultivated in Uganda for two main reasons: 1) agro-ecological conditions favor cotton cultivation, and 2) there is a long tradition of cotton cultivation in the country. Two main research questions are addressed in this study: a) would the adoption of genetically modified (GM) cotton benefit Ugandan farmers? b) Would the use of GM seed be more profitable than the low input traditional system or than the organic production system? Stochastic budget analysis is used to address these questions. The results show that estimated values of cotton profitability do not seem to justify the investment in a complex technology. The question then is how transferable is GM technology and how easily can it be adopted by Ugandan farmers. The vertical integration of the chain could facilitate the dissemination of the technology, but availability of seed and inputs of good quality and appropriate extension support have to be guaranteed.

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

Paper provided by International Association of Agricultural Economists in its series 2009 Conference, August 16-22, 2009, Beijing, China with number 51823.

in new window

Date of creation: 2009
Handle: RePEc:ags:iaae09:51823
Contact details of provider: Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

in new window

  1. Giancarlo Moschini & Harvey Lapan, 1997. "Intellectual Property Rights and the Welfare Effects of Agricultural R&D," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1229-1242.
  2. José Benjamin Falck-Zepeda & Greg Traxler & Robert G. Nelson, 2000. "Surplus Distribution from the Introduction of a Biotechnology Innovation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 360-369.
Full references (including those not matched with items on IDEAS)

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:ags:iaae09:51823. 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: (AgEcon Search)

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.