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        <dc:title>Selecting sites to prove the concept of IAR4D in the Lake Kivu&#13;
Pilot Learning Site</dc:title>
        <dc:creator>Farrow, A</dc:creator>
        <dc:creator>Opondo, C</dc:creator>
        <dc:creator>Rao, K P C</dc:creator>
        <dc:creator>Tenywa, M</dc:creator>
        <dc:creator>Njeru, R</dc:creator>
        <dc:creator>Kashaija, I</dc:creator>
        <dc:creator>Kamugisha, R</dc:creator>
        <dc:creator>Ramazani, M</dc:creator>
        <dc:creator>Nkonya, E</dc:creator>
        <dc:creator>Kayiranga, D</dc:creator>
        <dc:creator>Lubanga, L</dc:creator>
        <dc:creator>Nabahungu, L</dc:creator>
        <dc:creator>Kamale, K</dc:creator>
        <dc:creator>Mugabo, J</dc:creator>
        <dc:creator>Mutabazi, S</dc:creator>
        <dc:subject>Agriculture-Farming, Production, Technology, Economics</dc:subject>
        <dc:description>Selecting sites is an essential step in enabling the assessment of the impact of Integrated&#13;
Agricultural Research for Development (IAR4D) in the Lake Kivu Pilot Learning Site. This paper&#13;
reports on the process of identifying distinct administrative territories (sites) in which to establish&#13;
innovation platforms and to monitor similar communities that are experiencing alternative&#13;
agricultural research for development interventions. We show how the research design for the Sub-&#13;
Saharan Africa Challenge Programme (SSACP) has been modified to take into account the key&#13;
conditioning factors of the LKPLS without relinquishing robustness. A key change is the explicit&#13;
incorporation of accessibility to multiple markets. Candidate sites were stratified according to the&#13;
national political context, followed by good and poor accessibility to markets and finally according&#13;
to security considerations and agro-ecology. Randomisation was carried out at all levels, although&#13;
the need for paired counterfactual sites required the diagnosis of conditioning factors at the site&#13;
level. Potential sites were characterised in terms of existing or recent agricultural research&#13;
initiatives, as well as local factors that would have a direct effect on the success of interventions&#13;
seeking to improve productivity, ameliorate the degradation of natural resources and enhance&#13;
incomes through better links to markets. Fourteen sites were selected during the initial phase, and a&#13;
further ten sites were added one year afterwards due to the need for more innovation platforms to&#13;
test IAR4D. The site selection was successful in pairing action and counterfactual sites in terms of&#13;
the baseline socioeconomic conditions of farming households. The unavoidable proximity of action&#13;
and counterfactual sites, however, allows the possibility of spill-over effects and could reduce the&#13;
measurable impact of IAR4D.</dc:description>
        <dc:publisher>African Association of Agricultural Economists</dc:publisher>
        <dc:date>2013</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/7217/1/AJARE_8_3_101-119_2013.pdf</dc:identifier>
        <dc:identifier>  Farrow, A and Opondo, C and Rao, K P C and Tenywa, M and Njeru, R and Kashaija, I and Kamugisha, R and Ramazani, M and Nkonya, E and Kayiranga, D and Lubanga, L and Nabahungu, L and Kamale, K and Mugabo, J and Mutabazi, S  (2013) Selecting sites to prove the concept of IAR4D in the Lake Kivu Pilot Learning Site.  African Journal of Agricultural and Resource Economics, 8 (3).  pp. 101-119.      </dc:identifier></oai_dc:dc>
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