ArticleHeliyon2024
Assessing livelihood resilience in drought-affected areas: Lessons from Raya Kobo district, northeast Ethiopia.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Determinants of Rural Household Resilience to Food Insecurity and Variations in Resilience Capacity across Livelihood Groups in Southwest Districts of Rural South Wollo, Ethiopia.Current developments in nutrition · 2026Article
- Predictive Preparedness and Recurrent Shock Reduction in Somalia: The Roles of Adaptive Governance and Institutional Fragmentation.Risk management and healthcare policy · 2026Article
- Household Income Diversification and Food Insecurity: A Case Study of Afghanistan.Foods (Basel, Switzerland) · 2025Article
- The Role of Family Planning in Enhancing Community Resilience: Insights from Drought-Affected Youths and Women in Ethiopia.International journal of environmental research and public health · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In comparison to other types of resilience, livelihood resilience in the context of climate-related extremes like droughts is grounded in actual-life scenarios with the purpose of carefully assessing and improving the resiliency of individuals, households, communities, and nations. This study assesses households' livelihood resilience to droughts in Raya Kobo District. A mixed approach with a concurrent research design was used to achieve this goal. The quantitative data were collected from 354 randomly selected survey respondents, while the qualitative data were collected from purposefully chosen FGD and KI participants. Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) models were employed to analyse the quantitative data, whereas thematic data analysis was used to analyse the qualitative data through the creation of major and sub-themes. To determine households' livelihood resilience, the livelihood resilience index (LRI) was measured using thirty-eight indicators of resilience based on the five livelihood assets. The study identified fifteen latent dimensions, such as infrastructure, technology, water harvesting scheme, land quality, cropping season, household working capacity, farm experience, educational status, social trust, risk response, social security, support service, income, crop diversity, and assets. The average score of these latent dimensions is 0.3999, suggesting that households in the study area are less resilient. The MLR results show a positive association between the latent dimensions and LRI and the relative importance of the latent dimensions for LRI. These findings provide significant policy implications regarding mitigating vulnerability, strengthening resilience, and establishing pathways out of livelihood insecurity. Education, healthcare, road construction, agricultural inputs (pesticides, herbicides, chemical fertilizers, and improved seeds), irrigation technologies (small-scale drip irrigation systems and human-powered pedals), income diversification, social trust, risk response, social security, support services, and asset building should be the focus of policymakers.
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