Why Coffee Quality Upgrading Remains Partial: Farmer Decision-making and Constraint Response Mismatches in Eastern Uganda’s Coffee Innovation Platforms

Research on coffee quality upgrading suggests that technical deficiencies interact with the financial, institutional and market conditions under which farmers make decisions. This study examined where farmers perceived major constraint along the coffee value chain, how innovation platforms responded to those constraints, and why improvements remained partial in the Mt. Elgon region of Eastern Uganda. Six focus group discussions involved 43 smallholder farmers drawn from 10 innovation platforms in Kapchorwa, Manafwa and Namisindwa districts. The analysis combined framework-guided value chain mapping, inductive thematic analysis of innovation platform functions and collective action dynamics, and cross case matrix assessing constraint-response alignment. Participants described linked constraints involving unreliable agro-inputs, disease pressure, seasonal labor constraints, premature harvesting, congestion and breakdown of shared pulping equipment, inadequate drying and storage resources, opaque grading, weighing concerns and price volatility. Across the value chain, input uncertainty weakened confidence in further investment; urgent cash needs shortened harvesting and marketing decision horizons; processing delays threatened product quality; and opaque grading reduced the expected return to additional quality-enhancing effort. Participants mainly described platform roles in experiential learning, information exchange, shared assets, bulking and buyer engagement, while also reporting unresolved constraints concerning seasonal liquidity, maintenance, quality assessment, payment timing and rule enforcement. These patterns showed that shared infrastructure could remain unreliable without scheduling, maintenance finance and accountable management, while collective-marketing commitments could weaken when farmers faced urgent household cash needs and uncertain quality rewards. The paper does not claim novelty from identifying the individual constraints. Its contribution is to explain their cross-stage interaction and the recurring constraint-response mismatches through which training, shared equipment and collective marketing address visible problems while leaving important financial and institutional conditions unresolved. This interpretation connects value-chain governance, collective-action scholarship, agricultural-innovation systems analysis and liquidity-constrained farmer decision-making. The findings indicate that platform design should move beyond training-centered responses by diagnosing the mechanism sustaining each constraint and combining technical learning, where feasible, with seasonal-finance options, transparent quality assessment, maintenance governance and workable collective- action arrangements. Key words: Coffee value chains, collective action, value-chain governance, liquidity constraints, institutional coordination