Assessing the Impact of Mobile Phone Use on Farmers' Adoption of Improved Technologies

Thesis Abstract

This study investigates the influence of mobile phone use on the adoption of improved agricultural technologies among smallholder farmers in a high-value crop production region. The persistent gap between the availability of innovative farming practices and their adoption remains a critical challenge in enhancing agricultural productivity, especially in rural settings where farmers face information asymmetry, limited access to extension services, and resource constraints. The proliferation of mobile telephony offers a potential avenue to bridge informational gaps; however, empirical evidence on its impact on technology adoption within this context remains limited. The primary aim of the research is to assess the extent to which mobile phone use influences farmers' decision-making processes concerning the adoption of modern, improved agricultural technologies. The study employs a descriptive cross-sectional survey design guided by the Technology Acceptance Model (TAM) and the Diffusion of Innovations (DOI) theory to elucidate the behavioral and social factors influencing adoption choices. The target population comprises registered smallholder farmers cultivating maize and rice in the region, totaling approximately 15,000 farmers. Using Cochran’s formula, a stratified random sample of 600 farmers was selected to ensure representativeness across different age groups, education levels, and farm sizes. Data were collected through structured interviews and questionnaires administered by trained enumerators, with prior validation of instruments through content validity and a pilot study assessing reliability with Cronbach’s alpha coefficients exceeding 0.8. Quantitative data analysis involved descriptive statistics, correlation analysis, and multiple regression models to quantify the effect of mobile phone use—measured in terms of frequency, purpose, and technological sophistication—on the likelihood of adopting specified improved technologies such as drought-tolerant seed varieties, improved fertilizers, and pest management practices. Logistic regression was employed where the dependent variable was binary (adopted/not adopted). In addition, thematic analysis was used for qualitative responses to capture contextual insights, perceptions, and barriers associated with technology uptake. To address potential endogeneity, propensity score matching (PSM) was used to compare adopters and non-adopters with similar socio-economic profiles, thereby estimating the treatment effect of mobile phone use more accurately. Key anticipated findings suggest a positive and statistically significant relationship between mobile phone usage—particularly access to market information, weather updates, and extension services via mobile platforms—and the adoption of improved technologies. It is expected that younger, better-educated farmers with higher mobile phone literacy are more likely to leverage these digital tools effectively. The study also anticipates identifying critical barriers, such as limited network coverage, digital illiteracy, and financial constraints that hinder full utilization of mobile technologies. The findings will contribute to the current understanding of digital tools as catalysts for agricultural innovation diffusion, filling gaps in empirical data within the context of smallholder farming systems. The research advances knowledge by integrating behavioral and socio-economic dimensions through the application of TAM and DOI, providing nuanced insights into how mobile phone technology influences farmers’ innovation adoption behavior. It underscores the importance of telecommunication infrastructure, digital literacy programs, and targeted extension services in promoting sustainable agricultural development. The main conclusions emphasize that mobile phone use significantly enhances the adoption of modern technologies, although its impact is mediated by socio-economic factors. Policymakers are advised to invest in rural telecommunication infrastructure, promote digital literacy among farmers, and develop tailored mobile-based information services. The study further recommends the integration of mobile platforms into national agricultural extension frameworks and advocates for ongoing research to explore the long-term impacts of digital technology adoption on productivity and livelihoods. Future research should also examine the role of emerging technologies such as smartphone applications and artificial intelligence in transforming smallholder farming practices.