Shano Berhanu Kuma, Waje Samuel Semma
Department of Agricultural Economics, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Heliyon. 2024 Aug 6;10(16):e35859. doi: 10.1016/j.heliyon.2024.e35859. eCollection 2024 Aug 30.
Though the Ethiopian economy is predominantly agriculture-based, the adoption of agricultural technologies has been very low. The results of a previous study had shown that microcredit access was one of the factors affecting the adoption of agricultural technology in Ethiopia. However, its effect has not yet been analyzed at the meta-level. Therefore, this study employed meta-analysis to understand the heterogeneous effect of microcredit access among farmers adopting agricultural technologies. We used subgroup analysis and meta-regression analysis to identify the heterogeneity level of credit access on technology adoption using the random-effects (RE) model. The study observed that there was a positive effect of microcredit access on agricultural technology adoption with a log odds ratio of 1.59. The subgroup analysis revealed a 93.2 % overall variation ( ) with a p-value of 0.000, signifying a significant level of microcredit access within the between-groups heterogeneity of agricultural technology adoption studies conducted in Ethiopia. Notably, this was reflected by the adoption of improved livestock technologies, fertilizers, seed varieties, multiple agriculture, and irrigation technologies, with rates of heterogeneity of 94.9 %, 94.4 %, 94.3 %, 85 %, and 73.8 %, respectively, all with a p-value of 0.000. In addition, the meta-regression analysis results indicate that household experience, distance to the market, and income are significant moderators that affect the technology adoption decisions of farmers in rural Ethiopia. These findings suggest that policymakers should focus on improving the financial facilities and extension systems for rural farmers to enhance the adoption of agricultural technologies to increase production efficiency.
尽管埃塞俄比亚经济主要以农业为基础，但农业技术的采用率一直很低。先前一项研究的结果表明，获得小额信贷是影响埃塞俄比亚农业技术采用的因素之一。然而，其影响尚未在元层面进行分析。因此，本研究采用元分析来了解获得小额信贷在采用农业技术的农民中的异质性影响。我们使用亚组分析和元回归分析，采用随机效应（RE）模型来确定信贷获取对技术采用的异质性水平。研究发现，获得小额信贷对农业技术采用有积极影响，对数优势比为1.59。亚组分析显示总体变异率为93.2%（ ），p值为0.000，这表明在埃塞俄比亚进行的农业技术采用研究的组间异质性中，小额信贷获取具有显著水平。值得注意的是，这体现在改良牲畜技术、化肥、种子品种、多种农业和灌溉技术的采用上，异质性率分别为94.9%、94.4%、94.3%、85%和73.8%，p值均为0.000。此外，元回归分析结果表明，家庭经验、到市场的距离和收入是影响埃塞俄比亚农村地区农民技术采用决策的重要调节因素。这些发现表明，政策制定者应专注于改善农村农民的金融设施和推广系统，以提高农业技术的采用率，从而提高生产效率。
