Assessing Agroforestry Adoption in Smallholder Coffee Cooperatives

Thesis Abstract

Smallholder coffee farming systems face increasing pressure from climate variability and soil degradation, necessitating sustainable land-use practices; agroforestry adoption has the potential to enhance biodiversity, improve soil fertility, diversify income, and increase resilience, yet uptake among coffee cooperatives remains uneven due to economic, social, and knowledge barriers. This study aims to assess the drivers, extent, and impacts of agroforestry adoption within smallholder coffee cooperatives in a multiregional setting, with a view to informing policy and practice on sustainable intensification. The objectives are (1) to quantify the prevalence of agroforestry adoption and classify agroforestry configurations across representative smallholder plots; (2) to identify socio-economic, institutional, and knowledge-related determinants of adoption using a purposive multi-stage sampling framework; (3) to evaluate the agroecological and economic outcomes of adoption, including yield, quality metrics, shade-tree biodiversity, and climate resilience indicators; (4) to examine cooperative governance, service delivery mechanisms, and credit access that influence adoption decisions; and (5) to develop a context-specific conceptual model linking determinants to outcomes that can guide scalable interventions. A mixed-methods approach is employed. The study design combines a cross-sectional survey of 420 smallholder household heads affiliated with three coffee cooperatives, complemented by 60 in-depth interviews with cooperative managers, extension agents, and agroforestry practitioners, and 20 focus group discussions with member farmers. Data collection instruments include a structured questionnaire capturing demographics, farm characteristics, agroforestry practices, and socio-economic variables, as well as semi-structured interview guides and checklists for field observations. Validity and reliability are addressed through pre-testing of instruments, Cronbach’s alpha analysis for multi-item scales, and triangulation across data sources. Data analysis proceeds in two strands quantitative analysis using multivariate logistic regression to identify determinants of agroforestry adoption, propensity score matching to estimate yield and income effects, and cluster analysis to classify adoption configurations; qualitative analysis employs thematic analysis of interview and focus group transcripts, guided by the Diffusion of Innovations and Theory of Planned Behavior frameworks. A conceptual model integrating these theories is tested by path analysis to elucidate direct and indirect paths from determinants to outcomes. Expected findings indicate that adoption is positively associated with higher education, access to credit and extension services, cooperative governance quality, and perceived benefits related to soil health and revenue diversification, while constraints such as short-term income pressures and land tenure insecurity impede uptake. Econometric analyses are anticipated to reveal statistically significant improvements in soil organic matter, shade biodiversity indices, and coffee yield stability in plots under agroforestry systems, though Gross Margin impacts may vary across configuration types and market conditions. The study also expects to uncover nuanced interactions between cooperative trust, input accessibility, and adoption decisions, highlighting the role of social capital and policy incentives in scaling adoption. The study contributes to knowledge by providing granular, evidence-based insights into the mechanisms driving agroforestry adoption among smallholder coffee producers, integrating ecological and economic outcomes within a cooperative governance context, and delivering a contextually grounded model that explicates pathways from determinants to socio-ecological benefits. Policy and practice implications include recommendations for targeted extension and credit products, governance reforms within cooperatives to incentivize agroforestry, and the design of scalable, pro-poor incentive schemes that align producer objectives with environmental sustainability. The main conclusion posits that coordinated interventions—combining technical training, credible financial instruments, and inclusive governance—are essential for broad-based, financially viable agroforestry adoption, thereby enhancing resilience, productivity, and long-term sustainability of smallholder coffee systems. Recommendations emphasize developing adaptive extension curricula, establishing agroforestry success metrics for cooperatives, and piloting incentive packages that prioritize long-term soil health and climate risk mitigation.