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<p>This study analyzed agroforestry technologies adoption bottlenecks and how to address them in Benin. We combined satellite imagery (PlanetScope images 2015 and 2023) processed from object-oriented classification with socio-demographic surveys conducted with 360 farmers selected through purposive sampling. Structural equation modeling (SEM) was used to analyze the factors influencing farmers' agroforestry practices, and gendered technology adoption was assessed via chi-square tests. The results illustrated that in addition to farmers' perception (λ = 0.654**), the structural equation modeling (SEM) indicated significant relations between level of formal education ((λ = −&#xa0;0.431*), farming experience (λ = 0.654**), planting of cereals (λ = −&#xa0;0.953***), legumes (λ = 0.647***) and tubers (λ = 0.385*), agro-ecological zones (β = 0.501***), land acquisition by inheritance (λ = 0.712***), limited access to land (β = −&#xa0;0.012) and farmers' agroforestry practices. Analysis of the trend in the adoption of technologies shows a predominance of agroforestry parks (adopted by 91% of male farmers and 71% of female farmers) and a low diversity of agroforestry technologies adopted by farmers. The dominance of this type of agroforestry indicates the fragility of the forest environment in Benin, as the growth of agroforestry parks corresponds to the increase in the loss of forest area. Additionally, 29% of the male farmers were using at least one new agroforestry technology, while only 9% of the female farmers were using these technologies. Similarly, the constraints analysis revealed that the lack of manpower is one of the more significant specific challenges faced by women. Capacity building and support through gender-specific approaches are therefore needed to better promote this practice.</p>

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Gendered trends and barriers in agroforestry adoption in Benin (West Africa)

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月10日

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  • Marie Reine Jésugnon Kpoviwanou Houndjo,
  • Christine A. I. Nougbodé Ouinsavi,
  • Eustache Ayédèguè Alaye,
  • Adigla Appolinaire Wédjangnon

摘要

This study analyzed agroforestry technologies adoption bottlenecks and how to address them in Benin. We combined satellite imagery (PlanetScope images 2015 and 2023) processed from object-oriented classification with socio-demographic surveys conducted with 360 farmers selected through purposive sampling. Structural equation modeling (SEM) was used to analyze the factors influencing farmers' agroforestry practices, and gendered technology adoption was assessed via chi-square tests. The results illustrated that in addition to farmers' perception (λ = 0.654**), the structural equation modeling (SEM) indicated significant relations between level of formal education ((λ = − 0.431*), farming experience (λ = 0.654**), planting of cereals (λ = − 0.953***), legumes (λ = 0.647***) and tubers (λ = 0.385*), agro-ecological zones (β = 0.501***), land acquisition by inheritance (λ = 0.712***), limited access to land (β = − 0.012) and farmers' agroforestry practices. Analysis of the trend in the adoption of technologies shows a predominance of agroforestry parks (adopted by 91% of male farmers and 71% of female farmers) and a low diversity of agroforestry technologies adopted by farmers. The dominance of this type of agroforestry indicates the fragility of the forest environment in Benin, as the growth of agroforestry parks corresponds to the increase in the loss of forest area. Additionally, 29% of the male farmers were using at least one new agroforestry technology, while only 9% of the female farmers were using these technologies. Similarly, the constraints analysis revealed that the lack of manpower is one of the more significant specific challenges faced by women. Capacity building and support through gender-specific approaches are therefore needed to better promote this practice.