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

Production efficiency in Peasant Agriculture: The Case of Mixed Farming System in the Ethiopian Highlands

Listed author(s):
  • Mariam, Yohannes
  • Coffin, Garth
  • Eisemon, Thomas

An aggregate measure of production efficiency involving crop and livestock enterprises is examined in the Selale and Ada regions of Ethiopia using Data Envelopment Analysis (DEA). In general, farmers in regions more suitable to crop production (Ada) tend to attain higher production efficiency compared to farmers in regions suitable to livestock production (Selale). This implies that Ada farmers produce agricultural outputs with a minimal outlay of inputs. DEA results also reveal that farmers who adopted cross-bred cows (refrred as test farmers) are more efficient than those who have not adopted ( referred as control farmers) in both study sites. Analysis of the contribution of socioeconomic variables to measures of production efficiency indicated that the magnitude of knowledge-related variables (i.e. production knowledge and schooling) are relatively higher compared to physical or other non-physical variables. This finding implies that sustainable increases in production efficiency and attainment of food self-sufficiency could be attained if development strategies design methods of incorporating indigenous production knowledge of peasants in the planning process.

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:
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 406.

in new window

Date of creation: 12 Apr 1993
Date of revision: 12 Aug 1994
Handle: RePEc:pra:mprapa:406
Contact details of provider: Postal:
Ludwigstra├če 33, D-80539 Munich, Germany

Phone: +49-(0)89-2180-2459
Fax: +49-(0)89-2180-992459
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. Getahun, Amare, 1980. "Agro-climates and agricultural systems in Ethiopia," Agricultural Systems, Elsevier, vol. 5(1), pages 39-50.
  2. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
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:pra:mprapa:406. 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: (Joachim Winter)

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.