Choosing the "cargo" for Noah's Ark - Applying Weitzman's approach to Borana cattle in East Africa
AbstractIf Noah had had the opportunity to select the animals he took on board his Ark, he would have had to choose between many species, breeds and types within breeds, all containing different genetic material. How could he have made the right choice and which would he have taken on board given the constraints he had to face? Those trying to save threatened livestock breeds within a tight conservation budget face similar questions. In this paper we assess how different types of Borana cattle, a culturally significant breed in East Africa, might be prioritized for conservation. By applying a cost-effectiveness analysis on the basis of Weitzman's approach we conclude that the highest priority should be given to the Ethiopian Borana type (EB) in Ethiopia. Noah, however, would also have been concerned about the problems of inbreeding and effective population size. To overcome this problem we suggest that, rather than loading just two animals, he should have loaded on board 1000 female and 100 male animals as a safe minimum. The minimum cost of conserving 1100 animals of the EB type with the participation of Ethiopian communities is calculated to be [euro]7700 per year, mostly in the form of compensation payments to meet the opportunity costs of livestock-keepers that arise when maintaining the EB.
Download InfoIf 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Ecological Economics.
Volume (Year): 68 (2009)
Issue (Month): 7 (May)
Contact details of provider:
Web page: http://www.elsevier.com/locate/ecolecon
Animal genetic resources Cost-effectiveness analysis Ethiopia Kenya Prioritisation for conservation;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Narloch, Ulf & Drucker, Adam G. & Pascual, Unai, 2011. "Payments for agrobiodiversity conservation services for sustained on-farm utilization of plant and animal genetic resources," Ecological Economics, Elsevier, vol. 70(11), pages 1837-1845, September.
- Faustin, Vidogbèna & Adégbidi, Anselme A. & Garnett, Stephen T. & Koudandé, Delphin O. & Agbo, Valentin & Zander, Kerstin K., 2010. "Peace, health or fortune?: Preferences for chicken traits in rural Benin," Ecological Economics, Elsevier, vol. 69(9), pages 1848-1857, July.
- Samuel, Aurelia F. & Drucker, Adam G. & Andersen, Sven B. & Simianer, Henner & van Zonneveld, Maarten, 2013. "Development of a cost-effective diversity-maximising decision-support tool for in situ crop genetic resources conservation: The case of cacao," Ecological Economics, Elsevier, vol. 96(C), pages 155-164.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
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.