Abstract: In recent times, increasing temperature, declining precipitation, increasing sunshine, drought and
flood incidents have become a primary concern. A plethora of studies have shown how changes
in climatic conditions negatively affect agricultural production in Cameroon. Adaptation is
considered as a resilient measure to negative effects of climate change, reducing impacts and
giving hope to livelihood. However while some farmers have taken measures to adapt, some
have simply remained dormant. This research uses binary logit regression model to determine
factors influencing farmers' decisions to adapt to climate change in Southwest Cameroon.
Results revealed that female farmers are less likely to adapt to climate change than male farmers
and the value is significant at p-value <.05. Also, the age group 40-49 years positively influences
adaption even though the effect is not significant. Education positively influence adaptation and
the effect is significant for farmers who have attained tertiary education (pv=0.01). House hold
size also negatively influences farmers' adaptation to climate change and the negative sign
indicates that as household size increases, the probability of farmers' adapting to climate change
decreases. There is a negative relationship between land ownership, farm size and adaptation to
climate change. The positive value of B is an indicator that farming experience influence
farmers' adaptation even though the effect is not significant. There is a negative relationship
between awareness of causes of climate change and adaptation thus farmers who are not aware
of the causes will likely not take measures to adapt and the effect is significant at (pv=0.00). |