dc.description.abstract |
Globally, agricultural undertakings are responsible for 14% of global greenhouse gas
(GHG) emissions; it is the main driver of deforestation and land degradation, which is
responsible for an extra 17% of GHG emissions. Although a better understanding of
factors influencing adoption of climate smart agricultural practices is important to
inform policies aimed at promoting successful climate change adaptation strategies
there is little information on the various practices adopted by smallholders. This study
sought to analyse the factors influencing adoption of climate smart agricultural
practices in Bungoma, County. It describes how social factors such as age, sex,
education, economic factors such farm size and income and institutional factors such
as access to extension services and noting of unpredictable temperature influence the
adoption of climate smart agricultural practices. The study adopted a descriptive and an
explanatory research design. Four practices were considered, soil fertility management,
improved crop varieties and livestock breed, agro forestry and water harvesting and
management. Theory of planned behaviour and technology acceptance theory guided
this study. Based on the 30% rule 3 Sub Counties out of 11 were selected using simple
random selection. Secondly, systematic random sampling procedure was employed. A
sample size of 228 respondents was interviewed using structured questionnaire. Data
collected was analysed using combination of descriptive and inferential statistics.
Findings indicated that farm size (0.0293**, p < 0.05) and noticing of unpredictable
temperatures (-0.1643*** p < 0.001) had a statistically significant negative influence
on the adoption of soil fertility management practices in Bungoma County while
income (0.0002**, p < 0.05) had a statistically significant positive influence. Access to
extension services (0.0792*** p < 0.001) had a positive statistically significant effect
on the adoption of improved crop and livestock breed as an adaption response to climate
change and variability. Age (-0.0020* p < 0.05) and unpredictability of temperatures
(0.1497***, p < 0.001) had a statistically significant positive influence on the adoption
of agro forestry. Sex had a statistically significant positive influence on the adoption of
water harvesting and management practices as an adaptation to climate change
(0.0922**, p < 0.05). The log likelihood chi square ratio of 64% (63.83) was highly
significant implying that the overall model with predictor was preferred. The study
recommends that more integration between extension partners should be considered.
There is need for better land security since it increases the likelihood of farmers
adopting Climate Smart Agriculture. Policies and strategies should place more
emphasis on strengthening the existing agricultural extension service, supporting
proven technologies such as soil fertility management, improved crop and livestock
breed, agro forestry and water harvesting and management. Capacity enhancement is
needed for climate smart agricultural practices including access to weather information
adapted to farmers’ needs. |
en_US |