"background": "The adoption of agricultural mechanisation in sub-Saharan Africa is often characterised by a mismatch between imported technologies and the socio-economic and agronomic realities of smallholder farming systems. Understanding the long-term trajectories of technology adoption and their drivers remains a critical knowledge gap for sustainable rural development. ", "purpose and objectives": "This study aims to analyse the longitudinal dynamics of mechanisation adoption among smallholder farms, specifically to identify the determinants of sustained use of appropriate technologies and to model the pathways of technology accumulation over time. ", "methodology": "A longitudinal panel dataset was constructed from repeated household surveys conducted in two agro-ecological zones. The analysis employed a dynamic random-effects probit model, specified as y{it = \ (\ yi, t-1 + it'\ + \ +), where yit is a binary adoption indicator. Robust standard errors were clustered at the village level to account for intra-community correlation. ", "findings": "Adoption of animal traction showed a persistent positive trend, with the proportion of using households increasing by approximately 18 percentage points over the study period. Conversely, the sustained use of two-wheel tractors was highly sensitive to initial capital access and social network effects. The likelihood of continued use was 35% lower (95% CI: 22% to 48%) for households without prior access to formal credit. ", "conclusion": "Mechanisation trajectories are path-dependent and strongly influenced by initial resource endowments. Appropriateness is not a static technological attribute but an emergent property of the long-term interaction between technology, household assets, and local institutions. ", "recommendations": "Policy should prioritise enhancing financial inclusion and supporting localised service provision models over one-time equipment subsidies. Extension programmes need to integrate technology selection with long-term household resource management planning. ", "key words": "agricultural mechanisation, technology adoption, panel data, smallholders, West Africa, sustainable intensification
Traoré et al. (2024) studied this question.
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