Meta-Analysis on Farmers’ Adoption of Agricultural Technologies in East Africa: Evidence from Chinese Agricultural Technology Demonstration Centers

Rowland Fulgence Mponji, Xi Cao, Jingyi Wang and Xiangping Jia ()
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Rowland Fulgence Mponji: Institute of Agricultural Information, Graduate School of Chinese Academy of Agricultural Sciences, 12 South Avenue, Beijing 100081, China
Xi Cao: Institute of Agricultural Information, Graduate School of Chinese Academy of Agricultural Sciences, 12 South Avenue, Beijing 100081, China
Jingyi Wang: Institute of Agricultural Information, Graduate School of Chinese Academy of Agricultural Sciences, 12 South Avenue, Beijing 100081, China
Xiangping Jia: Institute of Agricultural Information, Graduate School of Chinese Academy of Agricultural Sciences, 12 South Avenue, Beijing 100081, China

Agriculture, 2024, vol. 14, issue 11, 1-11

Abstract: Farmers’ low agricultural productivity in East African countries is attributed to among other factors, the low application of modern agricultural technologies. Using meta-analysis this study intended to examine the determinants of adoption of agricultural technologies in East African countries recipients of Chinese Agricultural Technology Demonstration Centers (ATDCs). A comprehensive review employed to gather 22 studies addressing the determinants of adoption of agricultural technologies such as improved varieties, agricultural mechanization, soil conservation, and animal breeding from Ethiopia, Tanzania, Uganda, and Rwanda. The collected data were analyzed using STATA 17 software. The study used a random-effect model to estimate the determinants of agricultural technologies adoption. The findings demonstrated that access to credit, age, education, farming experience, farmer group membership, household size, and off-farm income have a significant influence on farmers ‘adoption of improved varieties. Age, farm size, and education have a significant influence on the adoption of agricultural mechanization. Soil conservation practices are influenced by age, household size, and sex. Moreover, age, education, extension services, and farming experience have a significant impact on the adoption of animal breeding. It is recommended that East African governments, policymakers, and agricultural practitioners to focus on these common variables when planning for the intervention of new agricultural technologies.

Keywords: meta-analysis; random-effect model; Chinese agriculture technology demonstration centers; adoption of agricultural technologies; farmers; determinants factors (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: 2024
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