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The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer...


Ainembabazi, John H.Asten, Piet J.A. vanVanlauwe, BernardOuma, Emily A.Blomme, GuyBirachi, Eliud AbucheliDontsop Nguezet, Paul M.Mignouna, Djana B.Manyong, Victor M.[Improving the speed of adoption of agricultural technologies and farm performance through farmer groups: evidence from the Great Lakes region of Africa]Improving the speed of adoption of agricultural technologies and farm performance through farmer groups: evidence from the Great Lakes region of Africa

It 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...


Ainembabazi, John H.Abdoulaye, TahirouFeleke, S.Alene, A.Dontsop Nguezet, Paul M.Ndayisaba, P.C.Hicintuka, C.Mapatano, S.Manyong, Victor M.[Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa]Who benefits from which agricultural research-for-development technologies? Evidence from farm household poverty analysis in Central Africa

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