Meta-Analysis on Farmers' Adoption of Agricultural Technologies in East Africa: Evidence from Chinese Agricultural Technology Demonstration Centers
文献类型： 外文期刊
作者： Mponji, Rowland Fulgence 1 ; Cao, Xi 1 ; Wang, Jingyi 1 ; Jia, Xiangping 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Agr Informat, Grad Sch, 12 South Ave, Beijing 100081, Peoples R China
关键词： meta-analysis; random-effect model; Chinese agriculture technology demonstration centers; adoption of agricultural technologies; farmers; determinants factors
期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.8 ）
ISSN：
年卷期： 2024 年 14 卷 11 期
页码：
收录情况： SCI
摘要： 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.
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