Assessing the Impact of Digital Agricultural Advisory Services on Smallholders' Productivity

Thesis Abstract

The adoption and utilization of digital agricultural advisory services have emerged as vital strategies for enhancing smallholder farmers' productivity in developing economies amidst challenges such as limited access to conventional extension services and information asymmetry. This study investigates the impact of digital advisory platforms—such as mobile applications, SMS-based information dissemination, and social media groups—on the productivity of smallholder farmers, aiming to provide empirical evidence on their effectiveness within a rural context. The specific objectives are to assess the level of adoption of digital advisory services among smallholders, examine the relationship between digital service usage and agricultural productivity, identify factors influencing adoption, and evaluate farmers' perceptions of service usefulness. The research employs a cross-sectional survey research design, rooted in the diffusion of innovations theory and the Technology Acceptance Model (TAM), to explain the adoption behavior and usage patterns of digital advisory services. The population comprises 1,200 smallholder farmers engaged in crop and livestock production within a semi-arid region with substantial mobile network coverage. A stratified random sampling technique was used to select a representative sample of 400 farmers, with proportional representation from different land sizes, age groups, and educational backgrounds. Data collection instruments include a structured questionnaire, which covers socio-economic characteristics, technological access, frequency and types of digital advisory service usage, and productivity indicators such as crop yield, income levels, and input efficiency. In addition, focus group discussions and key informant interviews are conducted to enrich quantitative data and explore farmers' perceptions and challenges in service utilization. Validity and reliability of the questionnaire are established through pre-testing and Cronbach’s alpha coefficients exceeding 0.80. Quantitative data analysis involves descriptive statistics (means, frequencies, percentages) to profile adopter characteristics and service usage patterns, as well as inferential techniques such as multiple regression analysis and ANOVA to quantify the impact of digital advisory services on productivity metrics while controlling for potential confounders. The study further employs propensity score matching to address selection bias in estimating the causal effects of digital service adoption. Qualitative data from focus groups are thematically analyzed to interpret farmers’ perceptions and contextual factors influencing adoption, guided by the Theory of Planned Behavior. Expected findings suggest a positive and statistically significant relationship between digital advisory service utilization and key productivity outcomes, including increased crop yields, reduced input costs, and enhanced income levels. Factors such as access to mobile phones, literacy levels, perceived usefulness, and trust in digital information are anticipated to significantly influence adoption rates. The study also expects to uncover barriers such as digital literacy gaps, network connectivity issues, and cost of access that hinder widespread utilization. This research contributes to knowledge by providing an empirical assessment of the role digital advisory services play in improving smallholder productivity, thus informing policy frameworks and extension strategies aimed at scaling digital solutions. It advances the understanding of technology adoption dynamics in rural farming contexts within the theoretical frameworks of diffusion and acceptance models. The main conclusion emphasizes that digital advisory services are instrumental in transforming smallholder agricultural productivity when appropriately adopted, suggesting the need for targeted capacity-building initiatives, infrastructural improvements, and subsidies to ensure equitable access. Recommendations include integrating digital advisory services into national extension programs, enhancing farmers’ digital literacy, and investing in network infrastructure to expand coverage. The study also advocates for future research to evaluate long-term impacts, explore gender-specific effects, and develop context-specific digital extension interventions to maximize benefits for smallholder farmers in diverse agro-ecological zones.