Policy implications and conclusions
Policy implications and conclusions
The principal aim of this paper has been to identify different
livelihood profiles in the Rwandan rural context by means of principal
component and cluster analysis. Next to contextual factors,
the principal component analysis identified six relevant dimensions
related to asset categories in livelihoods analysis (i.e. aggregate
wealth, human resources, natural resources, quality of
location, centrality of location and association networks). These
components were used as inputs for a cluster analysis which identified
seven household groups. These groups or clusters were validated
by examining differences in poverty profiles, livelihood
strategies and crop preferences. An overview summarizing the
key elements of each cluster’s profile is presented in Table 8. From
this analysis, we can now formulate rural anti-poverty policies
appropriate for households’ different livelihood profiles and
pathways
Policy implications and conclusionsPolicy implications and conclusionsThe principal aim of this paper has been to identify differentlivelihood profiles in the Rwandan rural context by means of principalcomponent and cluster analysis. Next to contextual factors,the principal component analysis identified six relevant dimensionsrelated to asset categories in livelihoods analysis (i.e. aggregatewealth, human resources, natural resources, quality oflocation, centrality of location and association networks). Thesecomponents were used as inputs for a cluster analysis which identifiedseven household groups. These groups or clusters were validatedby examining differences in poverty profiles, livelihoodstrategies and crop preferences. An overview summarizing thekey elements of each cluster’s profile is presented in Table 8. Fromthis analysis, we can now formulate rural anti-poverty policiesappropriate for households’ different livelihood profiles andpathways
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