In the context of Africa’s farm labor scarcity, the use of mechanization is crucial for agricultural development. In Benin, technological advances, such as animal traction and motorization, are struggling to achieve the success expected by producers. The objective of this research was to analyze the drivers of mechanization in cotton production in Benin. Data collected from 482 cotton producers in three agroecological zones of the country were analyzed using a multinomial Logit model. The results revealed that 34% of cotton producers used hand tools, compared to 31% using draught animals and 35% using tractors. Variables such as education level, area cropped, access to land, access to credit and agroecological zone had a positive influence on the probability of using mechanization in the cotton production. Family labor size per household had a negative influence on the probability of using farm mechanization. Women were more likely to use farm mechanization than men. This research suggests that mechanization policies should adapt agricultural equipment to the specificities of the production systems of each agroecological zone, and strengthen land tenure security and access to credit, particularly for women cotton producers.

Land degradation issues and declining fertility are driving the need for agroecological practices. This research analysed the determinants of acceptance and actual use of five main agroecological practices (contour farming techniques, organic fertiliser, crop association, improved seeds and integrated crop management practices) by farmers in Mali. The extended Unified Theory of Acceptance and Use of Technology (UTAUT) was used to develop the conceptual model. Data were collected from 505 randomly selected farming households in the cotton and cereal production zones in Mali. Partial Least Square–Structural Equation Modelling (PLS-SEM) was used to estimate technology acceptance and use. The findings revealed that behavioural intention is significantly and positively influenced by the expected performance and social influence. The expected effort is a key influential factor of the behavioural intention to adopt organic fertiliser. Experience has a mediating effect on the relationship between social influence and behavioural intention to adopt improved seeds adapted to the agroecological conditions. The actual use behaviour is directly and positively affected by the behavioural intention, facilitating conditions and expected net benefit. These findings align with the UTAUT model, have useful implications for both farmers and decision-makers and offer directions for technical approaches to agroecological practices’ development.

Understanding the sources of growth in total factor productivity (TFP) and profit is crucial to guide agricultural policy decisions. This study examines TFP and profit growth in cotton production in Benin between 2000 and 2018. Using panel data from 482 cotton producers, a parametric translog cost frontier approach was applied to analyze productivity and profitability dynamics. Results indicate that technical efficiency gains and technological progress increased TFP by 1.26% per year, while scale effects negatively affected productivity, suggesting underexploited economies of scale. Profit growth averaged 1.65% per year, driven by higher cotton prices and output, whereas rising input costs reduced profits. The study recommends strengthening producer capacities through training, promoting technological innovations such as mechanization and pest-resistant varieties, and implementing incentive-compatible price policies to support optimal input use and enhance both productivity and profitability.