Household Resource Endowment and Determinants of Adoption of Drought Tolerant Maize Varieties: A Double-hurdle Approach
Existing literature suggests the influence of household wealth on farmer's technology adoption decisions. In 2007, this study was conducted to provide a clearer understanding of how differences in household wealth affect the way in which other variables influence adoption decisions. Using data from 369 households in Adama and Adami Tulu Jido Kombolcha districts of Ethiopia, the paper first stratified households into poorly and well-endowed categories based on wealth indices constructed using their productive assets by the principal components method. A double hurdle model was then specified and estimated for each wealth group to assess factors influencing the adoption and use intensity of improved varieties. The results suggest that factors influencing the adoption and use intensity of improved maize varieties among the 61% of the poorly endowed households differed from those observed for the well endowed households. The results, therefore, draw attention to the need to design wealth group specific interventions to improve the adoption and use intensity of improved maize varieties among farmers in the two and similar districts of Ethiopia.
|Date of creation:||2009|
|Contact details of provider:|| Web page: http://www.iaae-agecon.org/|
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.:
- Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
- H. Freeman & F. Ellis & E. Allison, 2004. "Livelihoods and Rural Poverty Reduction in Kenya," Development Policy Review, Overseas Development Institute, vol. 22(2), pages 147-171, 03.
- Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 9(4), December.
- Doss, Cheryl R. & Mwangi, Wilfred & Verkuijl, Hugo & De Groote, Hugo, 2003. "Adoption Of Maize And Wheat Technologies In Eastern Africa: A Synthesis Of The Findings Of 22 Case Studies," Economics Working Papers 46522, CIMMYT: International Maize and Wheat Improvement Center.
- Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
- Ellis, Frank & Bahiigwa, Godfrey, 2003. "Livelihoods and Rural Poverty Reduction in Uganda," World Development, Elsevier, vol. 31(6), pages 997-1013, June.
When requesting a correction, please mention this item's handle: RePEc:ags:iaae09:51785. 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.