Assessing the Impact of Mobile Advisory Services on Smallholder Farmers' Productivity

Thesis Abstract

Smallholder farmers remain pivotal to agricultural productivity and food security; however, their access to timely and relevant agricultural information continues to be limited, constraining productivity and income levels. With the proliferation of mobile technology, mobile advisory services (MAS) have emerged as a promising intervention to bridge information gaps, yet empirical evidence regarding their impact on smallholder farmers’ productivity remains insufficient and context-dependent. This study aims to assess the effect of mobile advisory services on the productivity of smallholder farmers engaged in crop cultivation within the Central Plains region. Specifically, the research seeks to determine the level of MAS utilization among farmers, evaluate the influence of MAS on key productivity metrics such as crop yields and input efficiency, and identify factors that facilitate or hinder effective adoption of MAS. The study employs a mixed-methods research design grounded in the Technology Acceptance Model (TAM) and the Diffusion of Innovations theory. Quantitative data were collected through a structured questionnaire administered to a stratified sample of 400 smallholder farmers, selected from a comprehensive farmer registry provided by local agricultural extension agencies. The questionnaire captured demographic information, mobile phone usage patterns, extent of MAS engagement, and crop productivity data over the previous planting season. Qualitative insights were obtained through focus group discussions and key informant interviews with extension officers and mobile service providers to contextualize quantitative findings. Data collection instruments were validated through pre-testing and their reliability confirmed via Cronbach’s alpha coefficients exceeding 0.8. Data analysis involved descriptive statistics to profile respondents and measure MAS utilization levels, followed by multiple regression analysis to evaluate the impact of MAS on crop yields and input efficiency, controlling for variables such as farm size and access to extension services. Hierarchical regression models were employed to distinguish direct and moderating effects. Thematic analysis was conducted on qualitative data to elucidate contextual factors influencing MAS adoption, providing nuanced insights into perceived benefits and barriers. It is anticipated that the findings will demonstrate a significant positive relationship between MAS utilization and smallholder farmers’ productivity, with key factors such as access to affordable mobile devices, digital literacy, and trust in service providers serving as critical enablers. Conversely, barriers such as technological illiteracy and inconsistent network coverage are expected to hinder effective utilization. The study is expected to contribute novel insights to the agricultural extension literature by empirically quantifying the productivity gains attributable to mobile advisory interventions, highlighting the pathways through which these services influence farm outcomes. The study concludes that mobile advisory services have considerable potential to enhance smallholder productivity when integrated within broader extension frameworks and supported by targeted capacity-building initiatives. Policy recommendations include scaling up mobile-based information dissemination programs, strengthening infrastructure to improve network reliability, and facilitating training to enhance digital literacy among farmers. The research also suggests avenues for future investigations, such as longitudinal studies to assess long-term impacts and comparative analyses across different agro-ecological zones. Overall, this study advances understanding of how digital innovations can transform agricultural extension and improve smallholder livelihoods in developing regions.