Comparative Analysis of Smallholder Coffee and Tea Farm Profitability in Eastern Regions

Thesis Abstract

Smallholder coffee and tea farming constitute vital sources of livelihood and economic contribution in the Eastern regions, yet significant disparities exist in their profitability that are insufficiently understood. This study investigates the comparative profitability of smallholder coffee and tea farms within these regions, aiming to identify the key factors influencing financial performance and to provide evidence-based recommendations for policy and practice enhancements. The specific objectives include assessing the economic returns of coffee and tea cultivation, analyzing the influence of farm management practices, input costs, market access, and socio-economic variables, as well as comparing the efficiency of resource utilization between the two crop systems. A mixed-methods research design was employed to ensure comprehensive insights, integrating quantitative survey data with qualitative interviews. The target population comprised smallholder coffee and tea farmers in the Eastern regions, totaling approximately 10,000 farmers, with a stratified random sampling technique used to select a representative sample of 384 farmers for quantitative analysis. Data collection was conducted through structured questionnaires that gathered information on farm inputs, output volumes, costs, revenues, and socio-economic factors, complemented by semi-structured interviews with key informants including extension officers and market players to contextualize findings. The reliability of the data instruments was validated through Cronbach’s alpha (>0.80), and content validity was established via expert consultations. Quantitative data were analyzed using descriptive statistics, t-tests, and analysis of variance (ANOVA) to identify differences in profitability between coffee and tea farms. Profitability was measured through gross margin, net farm income, and return on investment. To further examine the determinants of profitability, multiple regression analysis was employed, guided by the Resource-Based View (RBV) and Agenda-Set Theory, which explain how internal resources and external market factors shape farm performance. Qualitative data were analyzed thematically to enrich quantitative findings, emphasizing farm management practices, market dynamics, and farmer perceptions. Expected results suggest that tea farms exhibit higher average gross margins and net incomes compared to coffee farms, primarily due to differences in input costs, yield variability, and market access. However, variability within each crop system indicates that farm-specific factors such as access to extension services, credit facilities, and post-harvest infrastructure significantly influence profitability. The regression analyses are anticipated to reveal that improved input management, diversification, and market linkage significantly predict farm profitability, regardless of crop type. This study contributes to the theoretical understanding of smallholder farm performance by integrating economic analysis with socio-behavioral insights, highlighting that resource efficiency and access to markets critically determine farm profitability. It advances empirical knowledge by offering a comparative analysis specific to the Eastern regions, filling a gap in regional agricultural economics research. The findings are expected to inform policymakers, extension service providers, and farmers by emphasizing targeted interventions to enhance productivity and market integration. The main conclusion underscores the necessity of tailored support policies that address the unique challenges faced by coffee and tea farmers. Recommendations include strengthening market infrastructure, facilitating access to credit and inputs, and promoting sustainable farming practices. Furthermore, the study advocates for comprehensive capacity building to improve farm management and risk mitigation. Future research should consider longitudinal approaches to track profitability trends over time and explore the impact of climate change on smallholder crop systems in the region.