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Identifying Homogeneous Target Groups of
Dairy Producers: An application of combined principal component
and cluster analysis
Research aimed at developing appropriate interventions to
assist smallholder dairy producers requires a clear understanding
of the overall systems environment. Smallholder dairy systems
are shaped by production characteristics and technologies,
but also by farm/household resource constraints and the market
environment. For example, farms in poor agro-ecological zones
yet close to urban centres may compete effectively for markets
against distant farms located on better land, and their production
strategies will reflect that market orientation. The appropriate
characterisation of dairy producer farm/households should
thus consider this multiplicity of factors, so that resulting
research priorities will be more likely to address the factors
to which producers themselves are responding, and ultimately
to yield the desired impact. This paper describes the characterisation
method used to identify patterns among smallholder dairy farm/households
in Kiambu district in the highlands of central Kenya, and
then from among them a relatively homogeneous target groups
of dairy producers. The approach used differs from previous
methods by combining principal component and cluster analysis
to allow incorporation of a greater range of variables.
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