A Participatory Extension Model for Climate-Resilient Agriculture Adoption

Thesis Abstract

Climate variability poses substantial risks to smallholder farmers, constraining productivity and livelihoods in many agro-ecological zones. Despite widespread access to climate information, adoption of climate-resilient agricultural practices remains limited due to gaps in extension approaches, weak farmer–researcher linkages, and socio-cultural barriers that impede participatory decision-making. This study develops and tests a Participatory Extension Model (PEM) designed to enhance adoption of climate-resilient agriculture (CRA) through co-creation of knowledge, farmer field schools, and community-based validation. The aim is to determine whether PEM improves farmers’ readiness, capability, and actual uptake of CRA practices compared with conventional extension methods. Specific objectives are to (1) assess the baseline determinants of CRA adoption among smallholder farming households, (2) design and implement the PEM integrating participatory rural appraisal, value-chain advisory services, and decentralized feedback mechanisms, (3) evaluate the effect of PEM on adoption intensity and sustainability over two cropping seasons, (4) examine the mediating roles of perceived usefulness, social capital, and farmer–extension worker trust, and (5) identify constraints and enabling factors for scaling PEM in similar agro-ecologies. The study adopts a mixed-methods approach underpinned by the diffusion of innovations and social learning theories, notably Rogers’ Diffusion of Innovations and Bandura’s social cognitive theory, to explain how participatory processes influence knowledge acquisition, risk perception, and behavioral change. A quasi-experimental design with a matched-treatment and control group is employed in three districts representing diverse agro-ecological zones. Population comprises 1,200 farming households, with 600 assigned to PEM and 600 to conventional extension. A multi-stage sampling strategy selects 30 villages per district, with 20 farmers per village—yielding 600 respondents in each arm. Data collection employs structured household surveys, participatory rural appraisal tools, focus group discussions, key informant interviews, and extension agent logs. Instruments are developed to measure adoption intensity (cultivation of at least two CRA practices), perceived usefulness, risk attribution, trust, social capital, and economic outcomes (yield, input costs, and net income). Instrument validity and reliability are established via content validity panels with agronomy extension experts and pilot testing (Cronbach’s alpha > 0.70 for scale items). Data analysis comprises descriptive statistics, propensity score matching to ensure balance between groups, and inferential analyses including multilevel mixed-effects regression to assess adoption outcomes, and structural equation modeling (SEM) to test mediation pathways. A difference-in-differences approach evaluates changes over time. Qualitative data are analyzed thematically using Framework Analysis to triangulate quantitative findings and elucidate mechanisms of change. Expected findings indicate that PEM significantly increases adoption intensity of CRA practices (p < 0.05) and yields higher short-run gross margins (average per hectare increase of 15–22% depending on practice) compared with conventional extension. It is anticipated that perceived usefulness, enhanced social capital, and higher trust in extension agents will partially mediate this effect, with the strongest mediation observed for practices requiring community coordination, such as drought-tolerant crop varieties and soil moisture management. The qualitative component is expected to reveal enhanced farmer empowerment, more timely feedback loops, and improved adaptation planning at the village level. The study contributes to knowledge by providing an empirically tested framework for participatory extension in climate adaptation, integrating theoretical insights with practical extension design and measuring not only adoption but the processes driving transformative change. It offers actionable criteria for scaling PEM in other agro-ecologies and outlines a cost-benefit profile for policymakers and development agencies. The recommended policy implications include institutionalizing participatory extension mechanisms within agricultural ministries, investing in farmer field schools and extension worker training in facilitation skills, and fostering micro-level decision-making platforms that align local knowledge with climate information. The primary conclusion posits that a participatory extension architecture, grounded in co-learning and community validation, is more effective than conventional approaches in accelerating the adoption of climate-resilient agriculture and sustaining resilience gains among smallholder farmers. Recommendations emphasize iterative refinement of PEM, targeted capacity-building for extension agents, and establishing monitoring and evaluation frameworks to track long-term adoption trajectories and climate resilience outcomes.