Smallholder farmers who rely on home garden agroforestry are experiencing significant impacts from climate change. To mitigate these effects, it is crucial for farmers to have access to various adaptation strategies. This study collected data from 384 randomly selected respondents in 18 kebeles over three districts, using descriptive statistics and a multivariate probit model to evaluate the factors influencing smallholder farmers’ decisions on their adaptation strategies against climate change. In Ethiopia’s Gedeo zone, this study found that smallholder farmers employ a range of adaptation methods, including expanding their agroforestry system, implementing modern agriculture techniques, conserving soil and water, diversifying their livelihoods, and employing various coping mechanisms. By analyzing data using the multivariate probit model, this study found several factors that had a significant impact on smallholder farmers’ choice of adaptation options. These factors include social network, age, education level, farming experience, household size, cultivated land size, annual income, and livestock holding. In addition, factors such as perception of climate change, previous experience of crop failure, recurrent drought, and access to information about climate change, occurrence of frost, agricultural extension contacts, access to farmer-to-farmer extension services, and perception of land infertility also influence their decision-making process. Our findings highlight the importance of improving institutional services in rural areas, promoting education on climate change, and strengthening social networks to enhance the ability of smallholder farmers to cope with the effects of climate change.

Some studies have quantified the extent and examined the determinants of the global multidimensional poverty index (G-MPI) which contains only three dimensions of welfare. But studies on the extent and determinants of rural multidimensional poverty index (R-MPI) which contains rural livelihood as one dimension of welfare are scarce. Hence, this study quantified the extent and examined the determinants of rural multidimensional poverty index using the Alkire–Foster method and the ordered logistic regression model, respectively. Data were gathered from 415 random sample households in southern Ethiopia. The incidence, intensity, and adjusted headcount ratio of rural multidimensional poverty are 72.3%, 57.3%, and 41.4% respectively. Besides, 7.47%, 20.24%, 30.60%, and 41.69% of households are non-poor, vulnerable, poor, and extremely poor, respectively. The living standard and rural livelihood dimensions jointly contributed 60% to rural multidimensional poverty. Fuel for cooking, electricity, and housing are the primary contributors to rural poverty from the living standard dimension, while land ownership, off-farm activity, and tropical livestock units are the leading contributors from the rural livelihood dimension to rural deprivation. Regression results showed that education, land size, tropical livestock unit, off-farm participation, and saving are negatively and significantly related to rural poverty, while dependency ratio, distance from market, distance from the road, and sickness of family members are positively and significantly related to rural poverty. Female-headed households were more deprived than male-headed households. Hence, promoting access to land, non-farm employment, markets, electricity, drinking water, and a road network would reduce rural multidimensional poverty in southern Ethiopia.

Climate-resilient crop production requires the use of crop technology that can sustainably increase productivity, build resilience to climate change, and reduce greenhouse gas emissions. Despite countrywide initiatives that promote climate-smart agricultural technology (CSAT) adoption, the rate of adoption has been extremely low. Therefore, this study aims to identify factors that affect the adoption of CSATs in wheat production in the Arsi zone of the Oromia region of Ethiopia. Towards this, plot-level primary data were gathered from 628 plots that were managed by 422 randomly selected wheat-producing smallholder farmers in three selected districts of the Zone. Descriptive statistics and multivariate probit (MVP) model were used to analyze data. The major CSATs adopted for wheat production in the study area were improved wheat varieties (95%), integrated soil fertility management (85%), and irrigation (19%). The result of the MVP model revealed that farmers with higher levels of education, farming experience, and contact with extension workers, have credit access, have access to market information, have greater annual total income, and are closer to the nearest market center are more likely to adopt CSATs in wheat production. Therefore, it is recommended that to enhance the adoption of CSATs in wheat production, policymakers and other development partners should concentrate on the identified factors that were significantly associated with the decisions to adopt CSATs.

This study was conducted to assess the factors influencing farmers’ decisions to adopt small-scale irrigation practices as an adaptation strategy to climate change in Kersa district, East Hararghe Zone, Oromia. The data were collected from a sample of 288 farm households (130 adopter and 158 non-adopters). Both qualitative and quantitative data were obtained from primary and secondary sources. A binary logistics regression model was used to identify the determinants of irrigation scheme adoption. The results indicate that the adoption of small-scale irrigation scheme was influenced by the age of the household head, dependency ratio, distance from water source, household size, frequency of extension contact, access to credit, livestock holding, off/nonfarm activities, membership in an agricultural cooperative, access to climate information, and perception of climate change, which had significant positive effects. Small-scale irrigation practices are a practical solution to lessen the effects of climate change stresses. Therefore, to improve rural farm productivity and lessen the effects of climate change stresses, the agricultural and natural resources office should focus scientific attention on the key factors that influence the adoption of small-scale irrigation.

Small-scale urban farmers' active involvement in the urban agriculture (UA) output market is one strategy to ease an urban food shortage while sustaining their livelihoods and income. Enhancing market participation and intensity requires identifying the factors that affect UA market participation. Thus, the study aimed to determine the factors influencing UA market participation decisions and intensity in Eastern Ethiopia. Using a semi-structured questionnaire, the study utilized primary data collected from 270 randomly selected urban farmers. The Double Hurdle (DH) Model was used to determine the factors influencing urban farmers' participation and intensity in the UA output market. According to the first stage DH Model results, age, education, occupation, family size, farming experience, UA-related training, dependency ratio, and market information, all had a significant impact on the decision to participate in the UA output market. The second stage DH Model of Truncated regression indicated that the intensity of UA output market participation decision was significantly affected by the education, land size, UA-related training, and market information are all important factors determine the intensity of UA output market participation. Improving the ability to use the land for UA purposes, awareness creation through short-term training, and improving information access are important recommendations to enhance UA output market participation and intensity of participation.

The aims of this study are to analysis adoption and impacts of conservation agriculture on poverty and resilience to drought in Eastern Ethiopia. Multi-stage sampling method was employed and four districts were randomly selected from Eastern Hararghe Zone. Using cross-sectional survey data collected in 2023 from 430 households, multinomial endogenous switching regression was applied in impact evaluation. The result shows farm experience, education, climatic-shocks experience, access to climate information, access to extension, number of oxen, farm size, labor force, livestock and distance to market are determinants of conservation agriculture (CA) adoption in terms of inter-cropping, crop rotation and crop residue retention or mulch practices in its single and combination of practices. Poverty was evaluated based on cost-of-basic-need and resilience to drought is in its index. Accordingly, the food poverty line and total consumption expenditure or total poverty line was found to be 6582.7ETB and 8620.70ETB per Adult/Equivalent per year in the study area. Results of average treatment effect on treated shows adoption is significantly reduced poverty and increased resilience to drought condition in the area. The study also shows importance role of extension service in adoption of CA practices. There is a need to encourage extension facilities and awareness to promote better adoption of CA particularly, in its combination. The combination of practices increased consumption expenditure of adopters by 73.3 percent compared to non-adopters, given its significant impact on households’ poverty and resilience to drought in moisture stress area of eastern Ethiopia. So, it is crucial to more advances farmers and experts’ information on climate shocks and conservation agricultural practices adoption. The policymakers ought to develop and encourage farmers’ asset building plan including livestock, adult education, market linkage facilities, extension and weather related information delivery service to enhance adoption of conservation agricultural practices to combat the current and future drought.