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dc:title "HTML Summary of #7217 \n\nSelecting sites to prove the concept of IAR4D in the Lake Kivu
\nPilot Learning Site\n\n";
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bibo:abstract "Selecting sites is an essential step in enabling the assessment of the impact of Integrated\r\nAgricultural Research for Development (IAR4D) in the Lake Kivu Pilot Learning Site. This paper\r\nreports on the process of identifying distinct administrative territories (sites) in which to establish\r\ninnovation platforms and to monitor similar communities that are experiencing alternative\r\nagricultural research for development interventions. We show how the research design for the Sub-\r\nSaharan Africa Challenge Programme (SSACP) has been modified to take into account the key\r\nconditioning factors of the LKPLS without relinquishing robustness. A key change is the explicit\r\nincorporation of accessibility to multiple markets. Candidate sites were stratified according to the\r\nnational political context, followed by good and poor accessibility to markets and finally according\r\nto security considerations and agro-ecology. Randomisation was carried out at all levels, although\r\nthe need for paired counterfactual sites required the diagnosis of conditioning factors at the site\r\nlevel. Potential sites were characterised in terms of existing or recent agricultural research\r\ninitiatives, as well as local factors that would have a direct effect on the success of interventions\r\nseeking to improve productivity, ameliorate the degradation of natural resources and enhance\r\nincomes through better links to markets. Fourteen sites were selected during the initial phase, and a\r\nfurther ten sites were added one year afterwards due to the need for more innovation platforms to\r\ntest IAR4D. The site selection was successful in pairing action and counterfactual sites in terms of\r\nthe baseline socioeconomic conditions of farming households. The unavoidable proximity of action\r\nand counterfactual sites, however, allows the possibility of spill-over effects and could reduce the\r\nmeasurable impact of IAR4D."^^xsd:string;
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