Investigating the Role of Poultry in Livelihoods and the Impact of HPAI on Livelihoods Outcomes in Africa: Evidence from Ethiopia, Ghana, Kenya and Nigeria
AbstractIn this paper we investigate the role of poultry in the livelihoods portfolios of households and the impact of supply and demand shocks that may be caused by Highly Pathogenic Avian Influenza (HPAI) on various livelihoods outcomes of households in four Sub-Saharan African (SSA) countries. The study countries include Ethiopia and Kenya in East Africa and Ghana and Nigeria in West Africa. These countries represent a spectrum of SSA countries in terms of disease status, role of poultry sector and means of disease spread. By using nationally representative household level secondary data and discrete choice methods (probit model and zero inflated negative binomial model) we profile the household, farm and regional characteristics of those households who are most likely to keep poultry, and those who are most likely to be engaged in intensive poultry production, i.e., keep larger household flocks. We estimate the impact of the disease outbreaks and scares/threats on livelihood outcomes by using matching methods (i.e., propensity score matching). The results of this study generate valuable information regarding the role of poultry in the livelihoods of small-scale poultry producing households and the livelihood impacts of HPAI induced demand and supply shocks. Such information is critical for the design of targeted and hence efficient and effective HPAI control and mitigation policies.
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.
Bibliographic InfoPaper provided by African Association of Agricultural Economists (AAAE) & Agricultural Economics Association of South Africa (AEASA) in its series 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa with number 97084.
Date of creation: Sep 2010
Date of revision:
Contact details of provider:
Postal: c/o FORMAT, 5th Floor, Muthaiga Mini Market, Limuru Road, P.O. Box 79 - 00621 Village Market, Nairobi, Kenya
Phone: 254 20 6752866
Web page: http://www.aaae-africa.org
More information through EDIRC
Highly Pathogenic Avian Influenza (HPAI); demand shock; supply shock; livelihoods; probit model; zero inflated negative binomial model; propensity score matching; Livestock Production/Industries;
This paper has been announced in the following NEP Reports:
- NEP-AGR-2011-08-15 (Agricultural Economics)
- NEP-ALL-2011-08-15 (All new papers)
- NEP-DCM-2011-08-15 (Discrete Choice Models)
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.:
- William H. Greene, 1997. "FIML Estimation of Sample Selection Models for Count Data," Working Papers 97-02, New York University, Leonard N. Stern School of Business, Department of Economics.
- Diao, Xinshen, 2009. "Economywide impact of avian flu in Ghana: A dynamic CGE model analysis," IFPRI discussion papers 866, International Food Policy Research Institute (IFPRI).
- Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-38, July-Sept.
- Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
- Oparinde, Adewale & Hodge, Ian, 2011. "Building livelihood resilience: a case study of factors affecting farm households’ adoption of coping and adaptive strategies in rural Nigeria," MPRA Paper 39162, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.