Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia
This study examined the level of rural households’ vulnerability to food insecurity, and its determinants in North Shewa zone of Ethiopia using cross-sectional data collected from 382 sample households. The vulnerability of households to food insecurity was estimated using vulnerability as expected...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/tswj/5522028 |
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| author | Debebe Cheber Fekadu Beyene Jema Haji Tesfaye Lemma |
| author_facet | Debebe Cheber Fekadu Beyene Jema Haji Tesfaye Lemma |
| author_sort | Debebe Cheber |
| collection | DOAJ |
| description | This study examined the level of rural households’ vulnerability to food insecurity, and its determinants in North Shewa zone of Ethiopia using cross-sectional data collected from 382 sample households. The vulnerability of households to food insecurity was estimated using vulnerability as expected poverty approach. The factors which influenced vulnerability to food insecurity were analyzed using binary logistic regression model. Accordingly, based on the intensity of their vulnerability, households were grouped as chronic food insecure (43.72%), transient food insecure (12.57%), highly vulnerable-food secure (16.23%), and low vulnerable-food secure (27.49%). Overall, about 75.51% of households were categorized as vulnerable to food insecurity. These included households who were food insecure at the time of the survey (56.28%) and those who were categorized as transient food secure group (16.23%). In addition, logistic regression model results revealed that extension service, early warning information, agricultural technology, and crop diversity were the major factors affecting (negatively) households’ vulnerability to food insecurity. On the other hand, sex, rainfall variability, and drought have increased the probability of being vulnerable to food insecurity. The findings imply that design and implementation of food insecurity policies and strategies need to focus not only on households that are currently food insecure but also on those categorized as transient food insecure. |
| format | Article |
| id | doaj-art-ab9c5a72f27d4fb58e641b7e76eed7e2 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ab9c5a72f27d4fb58e641b7e76eed7e22025-02-11T00:00:02ZengWileyThe Scientific World Journal1537-744X2025-01-01202510.1155/tswj/5522028Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of EthiopiaDebebe Cheber0Fekadu Beyene1Jema Haji2Tesfaye Lemma3Department of Agricultural EconomicsSchool of Rural Development and Agricultural InnovationSchool of Agricultural Economics and Agribusiness ManagementSchool of Rural Development and Agricultural InnovationThis study examined the level of rural households’ vulnerability to food insecurity, and its determinants in North Shewa zone of Ethiopia using cross-sectional data collected from 382 sample households. The vulnerability of households to food insecurity was estimated using vulnerability as expected poverty approach. The factors which influenced vulnerability to food insecurity were analyzed using binary logistic regression model. Accordingly, based on the intensity of their vulnerability, households were grouped as chronic food insecure (43.72%), transient food insecure (12.57%), highly vulnerable-food secure (16.23%), and low vulnerable-food secure (27.49%). Overall, about 75.51% of households were categorized as vulnerable to food insecurity. These included households who were food insecure at the time of the survey (56.28%) and those who were categorized as transient food secure group (16.23%). In addition, logistic regression model results revealed that extension service, early warning information, agricultural technology, and crop diversity were the major factors affecting (negatively) households’ vulnerability to food insecurity. On the other hand, sex, rainfall variability, and drought have increased the probability of being vulnerable to food insecurity. The findings imply that design and implementation of food insecurity policies and strategies need to focus not only on households that are currently food insecure but also on those categorized as transient food insecure.http://dx.doi.org/10.1155/tswj/5522028 |
| spellingShingle | Debebe Cheber Fekadu Beyene Jema Haji Tesfaye Lemma Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia The Scientific World Journal |
| title | Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia |
| title_full | Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia |
| title_fullStr | Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia |
| title_full_unstemmed | Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia |
| title_short | Rural Households’ Vulnerability to Food Insecurity and Its Determinants in North Shewa Zone of Ethiopia |
| title_sort | rural households vulnerability to food insecurity and its determinants in north shewa zone of ethiopia |
| url | http://dx.doi.org/10.1155/tswj/5522028 |
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