This study examined smallholder farmers' level of perception about climate change, source of information on climate change, types of adaptation strategies, factors influencing adaptation choices and barriers to adaptation in Eastern Hararghe Zone, Ethiopia. The surveyed farm households in the study area perceived at least one aspect of climate change primarily through their life experience. Planting trees is the major adaptation measure and 89.1 percent of the farmers took this adaptation strategy. Most farmers (96 percent) believe that deforestation is the main cause of climate change and the choice of farmers to plant trees as an adaptation strategy may be partly a mitigation strategy. However, the majority (49.6 percent) of the households employed at least one adaptation response on top of tree planting. The other adaptation strategies include: early planting, terracing, irrigation and water harvesting. The main source of information for these adaptation strategies for 58.4 percent of the respondents is from extension advice. Results of a multinomial logit model showed that non-farm income, farmer-to-farmer extension, access to credit, distance to selling markets, distance to purchasing markets, and income affect the choice of adaptation strategies. Finally, the study identified lack of information as the most important barrier to climate change adaptation. The other barriers include: lack of farm inputs, shortage of land, lack of money, lack of water and shortage of labor.

Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

In the absence of adequate support from formal social safety nets, rural households in Ethiopia have developed collective risksharing strategies to buffer them against adverse livelihood shocks, thus building their resilience capacities. Social capital and network based indigenous mutual support arrangements are the most important strategies that are institutionalized and widely practiced among rural households for centuries in Ethiopia to support households to cope with shocks. Nonetheless, resilience research and rural poverty alleviation policies have yet to fully recognize and embrace social capital as a tool to tackle poverty and vulnerability. Robust policy and academic studies on the role of indigenous welfare system with implications for social development policy making in Ethiopia are lacking. Using ethnographic techniques and simple descriptive statistics, we studied indigenous mutual support systems and how they shape the resilience trajectories of rural households against livelihood shocks within two selected PAs of Babille district of Oromia region. We found that mutual support practices are very effective in building coping resilience of households by smoothing consumption shocks. However, the traditional coping mechanisms often fail when the shock is systemic or covariate, when shocks last longer, and when a household has low level of human or finical capital.

Safety nets in Ethiopia are targeted and delivered in a context in which informal social capital practices also operate. But the role of social relations is largely overlooked in welfare programming. Understanding how social capital is mobilized and under which condition it enhances or constrains social safety net targeting may inform policy to design sustainable and inclusive welfare programs to improve household resilience. Using an ethnographic case study design, we studied the role of social capital in the implementation of a welfare intervention. Data were collected through observations and interviews with 30 households. Besides, data on household social network characteristics were collected using semi-structured interviews. The result suggested that greater access to social capital by a household enhances the efficiency of safety net targeting and delivery. Positioning the social transfer instruments within the broader sets of community social arrangements can optimize the allocation of scarce safety net resources and improves community relationships.

No abstract