Longitudinal analysis forecasts adoption of donkey-drawn carts among female traders, suggesting social networks drive uptake.
{ "background": "In Eastern Ethiopia, female horticultural traders face significant transport challenges, limiting market access and income. The donkey-drawn cart (DDC) is a low-cost technology with potential to alleviate these constraints, yet its adoption dynamics are poorly understood.", "purpose and objectives": "This study analyses the diffusion process of DDC technology among female horticultural traders. It aims to forecast adoption rates and identify key parameters influencing the diffusion trajectory.", "methodology": "A longitudinal survey design was employed, collecting adoption data from a stratified sample of traders. The Bass diffusion model was applied, specified as n(t) = p[m - N(t)] + q(t)/m[m - N(t)], where p is the coefficient of innovation, q the coefficient of imitation, m the market potential, and $N(t)$ the cumulative adopters. Parameters were estimated via non-linear least squares, with robust standard errors computed.", "findings": "The model forecasts a peak adoption rate of 18% per annum approximately four years post-introduction, with a long-term market penetration of 62% (95% CI: 58, 67). The imitation coefficient ($q = 0.42$) substantially exceeded the innovation coefficient ($p = 0.03$), indicating social networks are the dominant driver of adoption.", "conclusion": "Diffusion of DDC technology is driven predominantly by social learning and word-of-mouth, rather than external influences. The Bass model provides a robust framework for forecasting and planning technology rollout in this context.", "recommendations": "Extension programmes should prioritise fostering peer-to-peer demonstrations and creating women-led user groups. Policymakers should integrate diffusion modelling into agricultural technology deployment strategies.", "key words": "technology adoption, diffusion model, animal traction, gender, smallholder trade, forecasting", "contribution statement": "This paper provides the first application of the Bass diffusion model to analyse the adoption of an intermediate transport technology in
No takes yet. Share an insight, caveat, or question.
Mohammed et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: