Determinants of household resilience to food insecurity: A case of rural northern Ethiopia by using the RIMA approach

An ongoing and global agenda is the food security policy debate in rural Ethiopia of households to enhance resilience at the individual and household level for tackling food insecurity. Therefore, this study investigated determinants of household resilience to food insecurity in rural dwellers of Mekiet District. A cross-sectional research design was conducted in two agro ecological zones of the Mekiet district, lowland, and midland, involving 228 respondents. The study employed a quantitative and qualitative approach, with multi-stage sampling techniques results employed to select sample households by using two-stage factor analysis. The result from factor analysis using the RIMA approach showed that the latent variables of adaptive capacity, asset, and social safety net have a positive value of (0.76), (0.51), and (0.77), respectively, and in the contrast, access to essential services has a negative load of (-0.61), and all variables were found to be statistically significant. All those loads were significant, with an absolute value of factor loadings greater than 0.364, which is recommended for a sample size of 200 and above. Those variables were also highly correlated with resilience capacity. The study recommended that resilience programs should be implemented at district, community, and household levels to enhance resilience to food insecurity.

Authors

Institutions

Publication Details

Journal
Journal of Agriculture and Food Research
Published
2024-08-11
DOI
https://doi.org/10.1016/j.jafr.2024.101351
Citations
8
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of household resilience to food insecurity: A case of rural northern Ethiopia by using the RIMA approach

Abebaw Abebe, Mária Fekete‐Farkas, Habtamu Mossie, Tadsual Asfaw
8 citations
Journal of Agriculture and Food Research
Child Nutrition and Water Access
2.48
article

Determinants of household resilience to food insecurity: A case of rural northern Ethiopia by using the RIMA approach

Abebaw Abebe, Mária Fekete‐Farkas, Habtamu Mossie, Tadsual Asfaw
article en
8 citations

Abstract

An ongoing and global agenda is the food security policy debate in rural Ethiopia of households to enhance resilience at the individual and household level for tackling food insecurity. Therefore, this study investigated determinants of household resilience to food insecurity in rural dwellers of Mekiet District. A cross-sectional research design was conducted in two agro ecological zones of the Mekiet district, lowland, and midland, involving 228 respondents. The study employed a quantitative and qualitative approach, with multi-stage sampling techniques results employed to select sample households by using two-stage factor analysis. The result from factor analysis using the RIMA approach showed that the latent variables of adaptive capacity, asset, and social safety net have a positive value of (0.76), (0.51), and (0.77), respectively, and in the contrast, access to essential services has a negative load of (-0.61), and all variables were found to be statistically significant. All those loads were significant, with an absolute value of factor loadings greater than 0.364, which is recommended for a sample size of 200 and above. Those variables were also highly correlated with resilience capacity. The study recommended that resilience programs should be implemented at district, community, and household levels to enhance resilience to food insecurity.

Journal of Agriculture and Food ResearchVol. 18
Magyar Agrár- és Élettudományi Egyetem (HU)
Zero hunger
Openalex Percentile: Top 12%
Child Nutrition and Water Access
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.