An Analysis Of The Factors Influencing Participation Of Pastoralists In Commercial Fodder Value Chain For Livelihood Resilience In Isiolo County, Kenya
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Date
2019Author
Sala, Saada Mohamed
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
Pastoral communities in the drylands of Kenya face a myriad of challenges including
prolonged and recurrent drought coupled with institutional bottlenecks. These factors largely
contribute to livestock feed insecurity which impedes livestock production in drylands, thus
threatening livelihoods of millions of poor pastoralists. Various interventions have been
undertaken by the government and development partners to enhance the coping capacity of
pastoralists to the negative effects of climate change. In recent years, the focus of these
interventions has been directed to building resilience contrary to disaster risk reduction
expenditures such as direct food assistance by various projects. The World Food
Programme’s (WFP) project dubbed food for asset creation (FFA) was implemented in
thirteen dryland Counties through a collective action approach. The project supports
pastoralists in Isiolo County to adopt fodder enterprise in order to address the problem of
constant feed shortage. As a result, fodder producer groups and markets have emerged in the
County as pastoralists continue to embrace fodder enterprise as a livelihood diversification
strategy. However, these developments are happening in the absence of empirical evidence
on the socio-economic and institutional factors influencing participation of pastoralists in
fodder production and marketing. The present study was conducted in Isiolo County to
characterize the commercial fodder value chain, analyze the determinants of individual
pastoralist participation in fodder producer groups, and assess the socio-economic and
institutional factors influencing pastoralists’ participation in fodder markets. Survey data
were collected from 201 randomly selected pastoral households from twenty fodder producer
groups. Household interviews, focus group discussions and key informant interviews were
used to gather data. Data were analyzed using descriptive statistics, binary Probit model and a
Heckman two-step model.
Publisher
UoN
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Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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