African Community Psychology

Advancing Scholarship Across the Continent

Vol. 2007 No. 1 (2007)

View Issue TOC

Influencing Factors in Adopting Climate-Smart Agriculture among Kenyan Farmers: A Theoretical Framework

Amuri Cheruiyos, Department of Advanced Studies, Moi University Kibet Mwangi, Pwani University Odingo Okoth, Strathmore University
DOI: 10.5281/zenodo.18854716
Published: February 6, 2007

Abstract

Climate-smart agriculture (CSA) is a set of practices designed to enhance agricultural productivity while reducing environmental impact and enhancing resilience against climate change. In Kenya, CSA techniques are increasingly being adopted by farmers as they face challenges such as droughts and unpredictable weather patterns. No empirical data collection or analysis is conducted in this article; instead, a review of existing literature will be used to synthesize the influencing factors for adopting CSA among Kenyan farmers. The theoretical framework will draw from psychological theories and socio-economic models relevant to agriculture. This theoretical framework provides insights into the psychological and socio-economic determinants of CSA adoption among Kenyan farmers, offering guidance for policymakers and agricultural extension workers aiming to encourage more widespread adoption of sustainable farming practices. Based on the identified key influencing factors, recommendations include enhancing farmer education programmes that emphasise both the technical aspects of CSA techniques and their broader benefits. Additionally, fostering community networks can help reduce barriers to CSA adoption by providing social support.

How to Cite

Amuri Cheruiyos, Kibet Mwangi, Odingo Okoth (2007). Influencing Factors in Adopting Climate-Smart Agriculture among Kenyan Farmers: A Theoretical Framework. African Community Psychology, Vol. 2007 No. 1 (2007). https://doi.org/10.5281/zenodo.18854716

Keywords

African EnvironmentSocial CapitalSustainable DevelopmentParticipatory ResearchCommunity-Based AdaptationGender StudiesResource Management

References