5 research outputs found
Intensification and diversification of banana production systems: key drivers for increased income and food and nutritional security in the Great Lakes region
Peer Revie
Sustainable maize-legume based cropping systems for food security in the eastern and southern regions of Africa: "experiences from SIMLESA Project in Rwanda (2012-2014)", Kigali, Rwanda Agriculture Board (RAB), Rwanda
Building multi-stakeholder processes in agricultural research for development in Rwanda : case study developed under the CGIAR Research Program on Integrated Systems for the Humid Tropics (Humidtropics) by Wageningen University (WUR) and the International Institute of Tropical Agriculture (IITA)
Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa
Published online: 2 April 2018It remains a challenge for agricultural research-for-development (AR4D) institutions to demonstrate to donors which technologies contribute significantly to poverty reduction due to a multitude of impact pathways. We attempt to overcome this challenge by utilizing the potential outcomes framework and quantile treatment effects analytical approaches applied on panel household data collected from Central Africa. Our findings show that adoption of AR4D technologies reduced the probability of being poor by 13 percentage points. A large share of this poverty reduction is causally attributable to adoption of improved crop varieties (32%) followed by adoption of post-harvest technologies (28%) and crop and natural resource management (26%), with the rest 14% attributable to unidentified and/or unmeasured intermediate outcomes or factors. The findings further indicate that relatively poor farm households benefit from adopting improved crop varieties more than the relatively better-off households. Correspondingly, the relatively better off households benefit from adopting post-harvest technologies enhancing crop commercialization much more than the relatively poor households. The findings reveal interesting policy implications for successful targeting of agricultural interventions aimed at reducing rural poverty