| dc.description.abstract | In Ethiopia, a country already struggling with poverty and rain-fed agriculture, food insecurity
is made worse by climate change, which operates as a vicious cycle. This study's primary
objective was to investigate how climate-smart crop production affects household food security
in Dejen Woreda. Purposive and simple random sampling will be combined in a random
multistage sampling method to choose the study areas and sample respondents of 271
households. Household data was gathered and analyzed using a cross-sectional study
methodology. Together numerical and qualitative methods were applied in the investigation.
Additionally, data was collected from both primary and secondary sources. The quantitative
data was analyzed using multinominal logit and multinominal endogenous switching regression
models, while the qualitative data was assessed using Explanation and generalized reasoning.
The background characteristics of the sampled units were described using descriptive statistics.
Multinominal logistic regression and MNESR models were applied for the impact evaluation
to analyze the primary determinants of Shaping farmers' adoption of Climate-Smart
Agricultural practices and assess the subsequent impact of these actions on household food
security. Statistical techniques such as chi-squared and F-test were applied to look at the
changes in features among households that practiced and those that didn't. The findings of an
MNESR model showed that increasing the number of CSA combinations enhanced household
FCS and HDDS when compared to not implementing new practices. According to the study's
empirical findings, the government ought to provide the highest-yielding crops and climate
appropriate organic fertilizers, and seasoned family heads ought to impart their expertise to
local CSA practices. | en_US |
