Abstract:
The adverse impact of climate change on agricultural productionand productivity is increasing 
over time in Ethiopia. Smallholder farmers are the most vulnerable group of the society to the 
effects of climate change in this country since their livelihood depended on rainfed agriculture. 
This study was carried out to examine smallholder farmers’ vulnerability, perception, the choice 
of adaptation strategies, and institutional adaptive capacity of local institutions to climate 
change in East Hararghe Zone, Oromia Regional State, Ethiopia.A multi-stage sampling 
procedure was used to select districts, kebeles, and sample respondents. Accordingly, four 
districts, 17 kebeles, and 384 sample respondents were selected for the study. The 33 years 
temperature and rainfall data were used to analyze the trend in climate. Descriptive statistics 
and econometric models were employed to analyze the data. Vulnerability to the expected 
poverty, binary logit, multivariteprobit models and adaptive capacity wheel were used to 
measure vulnerability, identify determinants of vulnerability, investigate determinants of the 
choice of adaptation strategies, and assess the institutional adaptive capacity of local institutions 
respectively. Moreover, temperature and rainfall trends were analyzed using the Mann-Kendall 
statistical test. According to the findings, 73 percent of the respondents were likely to be 
vulnerable to climate change-related shocks next time. Households with better farm experience, 
land size, livestock ownership, access to credit, access to extension service, social capital, access 
to climate information, non-farm income, and headed by a male were less likely to be vulnerable 
to climate change; whereas households who were living in low and midland agro-ecologies, far 
from the market, and participating in productive safety-net programs were more likely to be 
vulnerable to climate change. The study also found that smallholder farmers' vulnerability was 
sensitive to the minimum income required to maintain daily life, implying the need to integrate 
other income-generating activities that supplement farm income to reduce the farmhousehold's
vulnerability to climate change. Moreover, the trend analysis result of temperature and rainfall 
indicated that temperature raised and rainfall decreased over the last 33 years. The result also 
revealed that farmers’ perception of climate change was consistent with the metrological data 
trends. Improved crop varieties, diversifying crop, adjusting planting dates, conserving soil and 
water, reducing livestock size, planting trees, and small-scale irrigation are the most common 
climate change adaptation strategies used by farm households in the study area. The 
multivariate probit model revealed that sex of the household head, landholding size, livestock 
ownership, access to extension, access to credit, social capital, market distance, access to 
climate change-related training, non-farm income, agro-ecological setting, and poverty status of 
the households significantly influenced farmers’ choice of adaptation strategies.As a result, 
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strategies addressing climate change adaptation should concentrate on the aforementioned 
factors to help smallholder farmers adapt to the changing climate. Furthermore, according to 
the adaptive capacity wheel, the disaster risk management office has a very poor adaptive 
capacity (score of -0.87), whereas farmers cooperatives and CARE have a higher adaptive 
capacity (scores of +1.5 and +1.4, respectively). The finding of this study indicated thathigher 
exposure to climate-induced shocks such as drought increased the vulnerability of farm 
households. As a result, reducing vulnerability and improving smallholder farmers' adaptive 
capacity by creating non-farm employment opportunities, strengthening local institutions, and 
increasing access to various services should be part of climate change adaptation and poverty 
reduction policies and strategies. Climate change adaptation strategies should also consider 
demographic, economic, social, institutional, and geographic differences, as these distinctions 
will help policymakers build specific adaptation techniques that fit the needs of different groups.