Vulnerability to multidimensional food insecurity: empirical evidence from wheat farmers in the Arsi Zone of Ethiopia

Although food security is multidimensional, most previous studies have measured households' vulnerability to food insecurity via unidimensional indices. To address this gap, this study assesses households' vulnerability to multidimensional food insecurity (VMFI) by employing the vulnerability-as-expected poverty technique for 422 randomly selected wheat-producing households from three districts of the Arsi Zone. Before households' VMFI was estimated by the three-stage feasible generalized least squares approach (FGLS), the multidimensional food security (MFS) index was developed by using principal component analysis (PCA). The MFS index was then calculated to be 0.4825 by the geometric aggregation technique to summarize the PCA results, and the descriptive summary indicated that 45.02% of the respondents were food secure. The three-stage FGLS revealed that 57.11% of the respondents were vulnerable to multidimensional food insecurity. Moreover, 33.41% of the respondents had stable food security, 45.5% were chronically food insecure, 9.48% experienced transitory food insecurity, and 11.61% were vulnerable to multidimensional food insecurity. The results of the probit model, which is employed to identify the determinants of VMFI, confirm that contact with agricultural extension agents, family size, and participation in off/nonfarm activities reduce VMFI, whereas the dependency ratio, credit utilization, shock experiences, and living in lowland areas increase it. Accordingly, it is important to adopt policies and strategies that enhance household interaction with agricultural extension agents and develop an efficient early warning mechanism to build a resilient food security system. To reduce household VMFI, it is also crucial to promote financial education and provide special support to drought-prone areas by developing drought-tolerant agricultural technologies and reducing agricultural rain dependency.

Authors

Institutions

Publication Details

Journal
Discover Sustainability
Published
2024-12-27
DOI
https://doi.org/10.1007/s43621-024-00765-7
Citations
1
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vulnerability to multidimensional food insecurity: empirical evidence from wheat farmers in the Arsi Zone of Ethiopia

Zenaye Degefu Agazhi, Mebratu Alemu, Melkamu Mada
1 citations
Discover Sustainability
Food Security and Health in Diverse Populations
0.85
article

Vulnerability to multidimensional food insecurity: empirical evidence from wheat farmers in the Arsi Zone of Ethiopia

Zenaye Degefu Agazhi, Mebratu Alemu, Melkamu Mada
article en
1 citations

Abstract

Although food security is multidimensional, most previous studies have measured households' vulnerability to food insecurity via unidimensional indices. To address this gap, this study assesses households' vulnerability to multidimensional food insecurity (VMFI) by employing the vulnerability-as-expected poverty technique for 422 randomly selected wheat-producing households from three districts of the Arsi Zone. Before households' VMFI was estimated by the three-stage feasible generalized least squares approach (FGLS), the multidimensional food security (MFS) index was developed by using principal component analysis (PCA). The MFS index was then calculated to be 0.4825 by the geometric aggregation technique to summarize the PCA results, and the descriptive summary indicated that 45.02% of the respondents were food secure. The three-stage FGLS revealed that 57.11% of the respondents were vulnerable to multidimensional food insecurity. Moreover, 33.41% of the respondents had stable food security, 45.5% were chronically food insecure, 9.48% experienced transitory food insecurity, and 11.61% were vulnerable to multidimensional food insecurity. The results of the probit model, which is employed to identify the determinants of VMFI, confirm that contact with agricultural extension agents, family size, and participation in off/nonfarm activities reduce VMFI, whereas the dependency ratio, credit utilization, shock experiences, and living in lowland areas increase it. Accordingly, it is important to adopt policies and strategies that enhance household interaction with agricultural extension agents and develop an efficient early warning mechanism to build a resilient food security system. To reduce household VMFI, it is also crucial to promote financial education and provide special support to drought-prone areas by developing drought-tolerant agricultural technologies and reducing agricultural rain dependency.

Discover SustainabilityVol. 5(1)
Arba Minch University (ET)
Zero hunger
Openalex Percentile: Top 19%
Food Security and Health in Diverse Populations
0.85
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.

Vulnerability to multidimensional food insecurity: empirical evidence from wheat farmers in the Arsi Zone of Ethiopia — Zenaye Degefu Agazhi, Mebratu Alemu, et al. · Discover Sustainability (2024) | TGRS Research Map | TGRS