Engendering Climate-Smart Agriculture in Mt. Kenya East: How Farmer Demographics Shape Smallholder Adoption

Climate-smart agriculture (CSA) has emerged as a promising strategy for tackling the challenges of agricultural productivity, resilience, and climate change mitigation. However, its adoption among smallholder farmers in the Mt. Kenya East region has remained low and uneven due to socio-economic barriers. This study examined demographic predictors influencing CSA adoption in Mukothima Ward, Tharaka Nithi County, Kenya, focusing on household characteristics, farmland attributes, and economic and social capital. A mixed-methods design was used, integrating quantitative and qualitative data from a household survey of 418 respondents and six focus group discussions, respectively. The findings revealed that land size, group membership, access to credit, and being a lead farmer were significant predictors of CSA adoption. Male-headed households were more likely to adopt capital-intensive CSA practices, while female-headed households, youth, and farmers with disabilities faced adoption barriers. Social capital, particularly community self-help groups, emerged as a crucial enabler of CSA adoption, mitigating systemic barriers such as limited credit and access to extension services. The study emphasizes the need for targeted interventions to promote CSA adoption in climate-vulnerable areas. Recommendations include land tenure reforms, financial inclusion, gender-sensitive strategies, and strengthening institutional support to improve access to credit for women, youth, and farmers with disabilities.

Authors

Institutions

Publication Details

Journal
International Journal of Sustainable Development Research
Published
2025-05-24
DOI
https://doi.org/10.11648/j.ijsdr.20251102.16
Citations
4
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
19.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engendering Climate-Smart Agriculture in Mt. Kenya East: How Farmer Demographics Shape Smallholder Adoption

Rohin Onyango, Daniel M. Nzengya, Lilian Lihasi
4 citations
International Journal of Sustainable Development Research
Agricultural Innovations and Practices
19.33
article

Engendering Climate-Smart Agriculture in Mt. Kenya East: How Farmer Demographics Shape Smallholder Adoption

Rohin Onyango, Daniel M. Nzengya, Lilian Lihasi
article en
4 citations

Abstract

Climate-smart agriculture (CSA) has emerged as a promising strategy for tackling the challenges of agricultural productivity, resilience, and climate change mitigation. However, its adoption among smallholder farmers in the Mt. Kenya East region has remained low and uneven due to socio-economic barriers. This study examined demographic predictors influencing CSA adoption in Mukothima Ward, Tharaka Nithi County, Kenya, focusing on household characteristics, farmland attributes, and economic and social capital. A mixed-methods design was used, integrating quantitative and qualitative data from a household survey of 418 respondents and six focus group discussions, respectively. The findings revealed that land size, group membership, access to credit, and being a lead farmer were significant predictors of CSA adoption. Male-headed households were more likely to adopt capital-intensive CSA practices, while female-headed households, youth, and farmers with disabilities faced adoption barriers. Social capital, particularly community self-help groups, emerged as a crucial enabler of CSA adoption, mitigating systemic barriers such as limited credit and access to extension services. The study emphasizes the need for targeted interventions to promote CSA adoption in climate-vulnerable areas. Recommendations include land tenure reforms, financial inclusion, gender-sensitive strategies, and strengthening institutional support to improve access to credit for women, youth, and farmers with disabilities.

International Journal of Sustainable Development ResearchVol. 11(2)
St. Paul's University (KE), African Forum for Agricultural Advisory Services (UG)
Openalex Percentile: Top 1%
Agricultural Innovations and Practices
19.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.