In three decades, West Africa has become the leader in "bulk" cocoa (Theobroma cacao L, Malvaceae), as the region saw its production grow from 1.37 million tons to 3.47 million tons per year, making up today over 70% of the world production (Fontaine and Huetz-Adams, 2020). Illustrating this development is the contribution of the cocoa industry to Ghana's economy, where approximately 800,000 households directly rely on cocoa as their primary source of income (Abdulai et al., 2018). To produce the annual 1’000’000 tons (MOFA, 2022), the country relies on a heterogeneous mosaic of small-scale farmers with contrasting differences in farming practices, influenced by climate, social and economic contexts (Rainforest Alliance, 2011). The key driver responsible for the cocoa production intensification is mainly forest conversion into cocoa farms (Kongor et al., 2018), with significant social and ecological costs (Niether et al., 2020a). To remain the second-largest cocoa producer globally, Ghana needs a profound structural change in its agricultural practices. One of the frameworks that could allow for such a shift is the dynamics agroforestry system (DAFS) - defined as the mix of vernacular and scientific-based knowledge used to promote natural mechanisms to mimic a high productive forestry system (Gotsch, E. et al, 1992). Such a practice would allow farmers to increase cocoa production while restoring their degraded land, hence offering a sustainable solution.
In 2016, SANKOFA, a multiple stakeholder project led by COOP and Kuapa Koko (Ghana’s largest cocoa cooperative), was created to support the development of DAFS technology. It was established in the cocoa region of the Western North District. Under this project, a trial composed of 400 farmers with the target to secure 400 DAFS hectares by 2023 was conducted to foster the first organic beans production for Kuapa Koko. Based on this project’s trial, this master thesis tried to evaluate two elements: first, the short-term degree of adoption of DAFS among farmers participating in the project. Second, the potential future adoption of DAFS from farmers outside the project. The complex nature of DAFS technology drove us to divide it into six individual practices to facilitate its evaluation, mainly in the form of a survey answered by farmers. This led to quantitative (569 surveys) and qualitative (24 interviews and 13 farm visits) tools used on the sample population for the present analysis. The sample was not randomly distributed since it was pre-selected by SANKOFA. However, when confronted with other studies, it appears to be representative of local cocoa farmers.
Overall, it was found that the self-perceived adoption of DAFS six practices by project farmers was high, ranging from 43% to 93%. That being said, it was observed that farmers had a slight tendency to overestimate their own results. Moreover, a clear relation between years of participation and adoption level was found. Geographical influence has also been observed with regard to the level of adoption of DAFS, although the studied factors could not explain it. Threats felt by the farmers, particularly drought, pest and disease exposure, further appear to be individuals of a major influence over adoption. However, these independent variables seem to lose influence as their severity increases.
The evaluation of the potential future adoption of DAFS from farmers outside the project was not statically significant using the data collected, limiting the potential for interpretation. Still, knowledge about DAFS technology is transferred among cocoa farmers through their social networks. In addition, farmers exposed to threats as described above are more likely to know about DAFS practices. The study also showed that the probability for farmers to know DAFS is, on the one hand, reduced with age and, on the other hand, increased by the level of education.
The study also revealed some shortcomings of DAFS technology, which could impair the extent of its adoption by farmers. The DAFS technology still needs to pass the proof-of-concept stage to be perceived as a viable alternative for cocoa farming. This applies to tackling challenges at multiple levels (farmers, projects, and institutions). First at the farmer level, appropriate integrated pest management strategy, labor structure and subsidies need to be designed. Second, at the project level, seed and seedling distribution systems, communication on weather forecasts and inclusion of traditional technics need to be accounted for. Last, at the institution level, the inclusion of Ghana COCOBOD and certification entities in DAFS growth strategy are necessary for it to thrive. If these challenges are addressed, farmers' uncertainty about its long-term viability could be reduced– hence, its adoption.