Household Resilience to Multidimensional Food Insecurity: The case of weaving-Based Households In Chencha District, South Ethiopia regional
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Date
2024-12
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Addis Ababa University
Abstract
Background
Food insecurity is a historical global human challenge, but has yet remained a burning development agenda. The capacity to withstand and recover from food insecurity shocks and stresses refereed as resilience, which is determined by a strand of factors. This paper deals with measuring and; identifying major determinants of household resilience to food insecurity among weaving-based livelihood system in Chencha district.
Methods
Multi-stage sampling technique was employed to generate data from 303 sample house holds through household survey, focus group discussion, and key informant interviews. The collected data were analyzed by using descriptive statistics, household resilience index, chi-square test, one-way ANOVA and econometric model (probit regression).
Results
The household survey revealed that 59.04% households were non-resilient, 24.42%weremoderately resilient, 10.89% resilient and 4.95% highly resilient. The Chi-square and one-way ANOVA tests have shown a meaningful and statistically significant difference among resilience categories. Finally, probit model analysis indicated that access to credit, average years of family education, crop diversity, income diversity, landholding size, TLU, expected crop harvest, expected cash income from fruit trees, frequency of extension contact, FCS, annual food expenditure, ownerships of Radio, Jewelry, furnished bed, membership in local associations, and distance to local market have positively influenced the likelihood of attaining higher household resilience at CI 95% or P <1%, 5% and 10%. Whereas; lack of access to mobile phone, in ability to read and write, family business, formal employment, and transfers of payment have decreased likelihood of households to achieve higher resilience level.
Conclusions
Therefore, improving household access to credit, education, income diversification, live stock and land, agricultural extension services, membership to local associations, mobile service, and income diversification would enhance household income and food security, which could in turn improve household resilience to food insecurity.
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Keywords
Household, Resilience, Determinants of resilience, Food Insecurity, Shock, Stress