Factors Affecting Adaptation to Climate Change through Agroforestry in Kenya

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A...

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Bibliographic Details
Published in:Land (Basel) 2021-04, Vol.10 (4), p.371
Main Authors: Pello, Kevin, Okinda, Cedric, Liu, Aijun, Njagi, Tim
Format: Article
Language:English
Subjects:
Agricultural economics
Agricultural production
Agriculture
Agroforestry
agroforestry-based technology
Algorithms
Cereal crops
Climate adaptation
Climate change
Climate effects
Decision analysis
Environmental effects
Farm income
Farming systems
Farms
Floods
Households
K-means
probit model
Sampling methods
Sustainable agriculture
Systems analysis
Technology adoption
Technology utilization
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Summary:The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.
ISSN:2073-445X
2073-445X
DOI:10.3390/land10040371