Economic Analysis and Effect of Using Farm Machinery for Soybeans Production at Gishari Demonstration Farm, Rwanda

This study examines the economic viability of mechanized versus traditional soybean farming at Gishari Demonstration Farm in Rwanda, addressing critical gaps in understanding the financial and productivity impacts of farm machinery adoption in smallholder contexts. Despite global advancements in agricultural mechanization, small-scale farmers in Sub-Saharan Africa often face barriers such as high upfront costs, limited technical expertise, and inadequate infrastructure, which hinder adoption and scalability. The research aims to compare the profitability of mechanized and manual soybean production systems, evaluate cost-benefit trade-offs, and assess the causal impact of mechanization using robust econometric methods. Employing a mixed-methods approach, the study analyzed data from 60 plots (30 mechanized and 30 manual) during the 2023/2024 farming season. Propensity Score Matching (PSM) with Nearest Neighbor, Kernel, and Radius Matching algorithms controlled for selection bias, while t-tests compared key economic indicators. Profitability metrics included yield, gross margin, net farm income, and benefit-cost ratios. Key findings reveal that mechanized farming significantly outperforms traditional methods, with yield increases of 720 - 750 kg/ha (p < 0.05) and net farm income gains of 195,000 - 205,000 RWF/ha (p < 0.05). Despite higher operational and fixed costs, mechanization improved gross margins by 6.36 - 6.86 percentage points, demonstrating superior cost efficiency. However, manual farming showed a marginally higher benefit-cost ratio (1.66 vs. 1.45), reflecting its lower capital intensity at small scales. The study concludes that mechanization enhances productivity and profitability but requires targeted interventions to overcome adoption barriers. Recommendations include subsidized financing for smallholders, training programs to build technical and financial capacity, and the development of machinery rental markets to reduce fixed-cost burdens. Policymakers should integrate mechanization with complementary measures like improved seed varieties and soil management to maximize benefits. These findings provide empirical support for mechanization as a driver of agricultural transformation in Rwanda and similar contexts, emphasizing the need for scalable, inclusive solutions to achieve sustainable rural development.