Adoption of Improved Mungbean Production Technologies in Selected East African Countries

Frank Mmbando, Emmanuel Mbeyagala, Papias Binagwa, Rael Karimi, Hellen Opie, Justus Ochieng, Tarcisius Mutuoki and Ramakrishnan Madhavan Nair
Additional contact information
Frank Mmbando: Selian Centre, Tanzania Agricultural Research Institute (TARI), P.O. Box 6024 Arusha, Tanzania
Emmanuel Mbeyagala: National Agricultural Research Organization-National Semi Arid Resources Research Institute (NARO-NaSARRI), P.O. Box 56 Soroti, Uganda
Papias Binagwa: Selian Centre, Tanzania Agricultural Research Institute (TARI), P.O. Box 6024 Arusha, Tanzania
Rael Karimi: Kenya Agricultural and Livestock Research Organization (KALRO)—Katumani, Machakos, Nairob 00100, Kenya
Hellen Opie: National Agricultural Research Organization-National Semi Arid Resources Research Institute (NARO-NaSARRI), P.O. Box 56 Soroti, Uganda
Justus Ochieng: World Vegetable Center, P.O. Box 10 Duluti, Arusha, Tanzania
Tarcisius Mutuoki: Kenya Agricultural and Livestock Research Organization (KALRO)—Katumani, Machakos, Nairob 00100, Kenya
Ramakrishnan Madhavan Nair: World Vegetable Center, South Asia, ICRISAT Campus, Patancheru, Hyderabad 502324, India

Agriculture, 2021, vol. 11, issue 6, 1-15

Abstract: This study analyzes the factors that influence the probability and extent of the adoption of mungbean production technologies in Tanzania, Kenya and Uganda, using multivariate probit and Poisson regression models. The results show that the probability and extent of the adoption of mungbean production technologies are influenced by gender of the household, household size, farm size, livestock size, household assets, access to extension services and access to credit. The study suggests that policy interventions that aimed at targeting women farmers, increasing household asset and information dissemination, such as field demonstrations and training programs, are crucial in enhancing technology adoption among smallholder farmers.

Keywords: adoption; mungbean; production technologies; multivariate probit; poisson regression; East Africa (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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