Vulnerability of Farmers to Crop Farming Risks in Ethiopia: An Integrated Vulnerability Analysis Approach Using Social-Ecological System Framework

Abstract

Crop production under a smallholder system is challenged by several (a)biotic risks those resulted in livelihood insecurity. This study assesses farmers’ perceived vulnerability level to the crop farming risks and identifies its determinants using an integrated vulnerability analysis approach. Survey data collected from 393 sample households in West Shewa Zone, Ethiopia, were analyzed using PCA and ordered probit regression. Results indicate that 13 percent of the sampled households are highly vulnerable, 73.5 percent are moderately vulnerable and 13.5 percent are less vulnerable where 77 percent of the highly vulnerable groups faced more than 3 months lean season and 72 percent of the less vulnerable groups faced less than 3 months of lean season. Moreover, farming experience and education level of household head, livestock owned, farm size, on-farm diversification, access to credit, small scale irrigation, off-farming income, extension contact, and social capital are significantly affecting the perceived vulnerability level. These calls for need-based government and/or non-government intervention plans focusing on improving rural infrastructure and facilities and devising an effective and responsive institutional setup for enhancing the responsive capacities of smallholder farmers in the short-run and minimizing the likelihood of exposure and sensitivity in the long-run.

An Overview of Land Degradation and Sustainable Land Management in the Near East and North Africa

“…However, the actual extent of LDD in NENA needs to be more accurately estimated to support realistic and responsive land use planning. Fana et al (2021) stated various options to cope with farmers' vulnerability: improve rural infrastructure and facilities, devising an effective and responsive institutional setup for enhancing the capacities of smallholder farmers in the short-run and minimizing the likelihood of exposure and sensitivity in the long-run.…”