Farm Household Vulnerability to Climate Change and Its Determinants: The Case of Ada’a Berga District of West Shewa, Ethiopia

Abstract

The main objective of this study was to analyse the vulnerability of households to the impacts of climate change and factors that influence houses to be vulnerable in Ada'a Berga districts of western Shewa zone. To achieve the objective, study area and sample households' were selected by using multi-stage sampling procedure. Descriptive statistical analysis, Principal Component Analysis (PCA) and Ordinal Logit Model were applied to a set of primary data collected from 421 randomly sampled farmers with the aid of semi-structured questionnaire in six purposively selected kebeles'. The analytical results of descriptive statistics indicates that households that are headed with above 65 years of age, illiterate, less experienced in farming, with more number of dependent family members, and tenants who are not frequently visited with extension workers, lack of access to climate information, depend only on rain fed farming, no own land, no access to credit at all, no

Climate change induced a progressive shift of livelihood from cereal towards Khat (Chata edulis) production in eastern Ethiopia

“…On the other hand, farmers' ability to adapt managerial strategies such as land preparation, cultivation, intercropping, investment to adopt drought-tolerant crop varieties and others would decrease with limited early warning communication by 99.9%. Therefore, the government should provide pertinent attention to establish an effective working early warning system that can support local area-specific strategies and help smallholder farmers live with the changing climate and its induced extreme events [ 100 ]. Because in Ethiopia, early-informing farmers about the likely variability of climatic elements significantly increases the intensity of their adaptation ability to the impacts of climate change [ 101 ].…”

Impact of climate smart agriculture on households’ resilience and vulnerability: An example from Central Rift Valley, Ethiopia

“…(2008), Madu (2012), Tesso et al. (2012), Tofu and Dedefa (2018), the vulnerability index is specified as follows: $$$$\begin{eqnarray} &&{Vulnerability\ \left( {{V}_i} \right) = \left( {adaptive\ capacity} \right)} \nonumber\\ &&- \left( {sensitivity + exposure} \right) {V}_i \nonumber\\ &&= \left( {{w}_1{M}_{1i} + {w}_2{M}_{2i} + \cdots + {w}_n{M}_{ni}} \right) \nonumber\\ &&- \left [\,( {{w}_1{X}_{1i} + {w}_2{X}_{2i} + \cdots + {w}_n{X}_{ni}} \right) \nonumber\\ &&+ \left( {{w}_1{Y}_{1i} + {w}_2{Y}_{2i} + \cdots + {w}_n{Y}_{ni}} \right)\,] \end{eqnarray}$$$$where M , X , and Y are indicators of adaptive capacity, sensitivity, and exposure, respectively.…”

“…Like that of resilience, this study depends on previous literature so as to measure households’ vulnerability. The current study used the indicator method, commonly applied by most previous studies (Deressa et al., 2008; Madu, 2012; Tesso et al., 2012; Tofu & Dedefa, 2018), to measure vulnerability to climate change, since it can capture vulnerability using a number of indicators and dimensions.…”

“…Following the work of Deressa et al (2008), Madu (2012), Tesso et al (2012), Tofu and Dedefa (2018), the vulnerability index is specified as follows:…”

Determinants of Farm Households’ Vulnerability to the Impact of Land Degradation in the Central Omo-Gibe Basin, Ethiopia

“…The approach is mostly based on the social vulnerability, economic vulnerability biophysical vulnerability or in combinations called integrated vulnerability assessment approach (Mavhura et al, 2017;Tofu and Dedefa, 2018). IPCC (2001) and UNDP (2010) defined vulnerability as a function of adaptive capacity and the potential impact (exposure and sensitivity).…”