Javascript must be enabled to continue!
Determinants of Rural Households’ Vulnerability to Food Insecurity in Gamo Gofa Zone, Southern Ethiopia
View through CrossRef
Abstract
The aim of this study was to measure the level and determinants of rural households’ vulnerability to food insecurity using a sample of 574 households and feasible generalized least square method. Results showed that the mean level of food insecurity at high land, low land and middle land areas are 73.12, 77.11 and 52.24 percent respectively. But mean level of vulnerability to food insecurity at high land, low land and middle land areas are 76.87, 84.32 and 55.62 percent respectively. The overall level of food insecurity and vulnerability to food insecurity in the study area are 68.31 and 73.34 perecent respectively. Thus, vulnerability to food insecurity is more wide spread in the study areas particularly in moisture stress low land area. Logistic regression showed that age of household, family size, off farm income, safety net programs, distance from health, death of household members and death of animals significantly increase rural households’ vulnerability to food insecurity. But, farm income, irrigation use and credit uses significantly decrease rural households’ vulnerability to food insecurity. Hence, government may help rural households to gather more resources and reduce vulnerability to food insecurity via better access to credit, infrastructure, irrigation uses and population control.
Title: Determinants of Rural Households’ Vulnerability to Food Insecurity in Gamo Gofa Zone, Southern Ethiopia
Description:
Abstract
The aim of this study was to measure the level and determinants of rural households’ vulnerability to food insecurity using a sample of 574 households and feasible generalized least square method.
Results showed that the mean level of food insecurity at high land, low land and middle land areas are 73.
12, 77.
11 and 52.
24 percent respectively.
But mean level of vulnerability to food insecurity at high land, low land and middle land areas are 76.
87, 84.
32 and 55.
62 percent respectively.
The overall level of food insecurity and vulnerability to food insecurity in the study area are 68.
31 and 73.
34 perecent respectively.
Thus, vulnerability to food insecurity is more wide spread in the study areas particularly in moisture stress low land area.
Logistic regression showed that age of household, family size, off farm income, safety net programs, distance from health, death of household members and death of animals significantly increase rural households’ vulnerability to food insecurity.
But, farm income, irrigation use and credit uses significantly decrease rural households’ vulnerability to food insecurity.
Hence, government may help rural households to gather more resources and reduce vulnerability to food insecurity via better access to credit, infrastructure, irrigation uses and population control.
Related Results
Household food insecurity in the UK: data and research landscape
Household food insecurity in the UK: data and research landscape
Household food insecurity is a widely used concept in high-income countries to describe “uncertainty about future food availability and access, insufficiency in the amount and kind...
Household food insecurity and coping strategies among rural households in Kedida Gamela District, Kembata-Tembaro zone, Southern Ethiopia: mixed-methods concurrent triangulation design
Household food insecurity and coping strategies among rural households in Kedida Gamela District, Kembata-Tembaro zone, Southern Ethiopia: mixed-methods concurrent triangulation design
Abstract
Background
Household food insecurity is a state in which household members experienced limited or uncertain physical and economic access to...
Household food insecurity levels in Ethiopia: quantile regression approach
Household food insecurity levels in Ethiopia: quantile regression approach
IntroductionNumerous natural and man-made factors have afflicted Ethiopia, and millions of people have experienced food insecurity. The current cut-points of the WFP food consumpti...
Assessing Food Insecurity and Its Drivers among Smallholder Farming Households in Rural Oyo State, Nigeria: The HFIAS Approach
Assessing Food Insecurity and Its Drivers among Smallholder Farming Households in Rural Oyo State, Nigeria: The HFIAS Approach
Hunger and food insecurity take center stage in most debates in Africa, and in recent times with serious concerns about Nigeria. This study assessed food insecurity among farming h...
Assessment of the Status of Birth Registration in Gamo Gofa Zone and Konso Woreda, SNNPR, Ethiopia
Assessment of the Status of Birth Registration in Gamo Gofa Zone and Konso Woreda, SNNPR, Ethiopia
Abstract
Background: According to the monitoring results in Africa, the regional average completeness rate of birth registration has increased from around 40% to 56% from 2...
Food Insecurity and Its Predictors among Lactating Mothers in North Shoa Zone, Central Ethiopia
Food Insecurity and Its Predictors among Lactating Mothers in North Shoa Zone, Central Ethiopia
Abstract
Background: Ending food insecurity is one of the goals of Sustainable Development Goals (SDGs). It is also one of the serious problems of Ethiopia. However, there ...
Developing and Implementing a "Hunger-Free Hospital" Model
Developing and Implementing a "Hunger-Free Hospital" Model
In 2010, approximately 14.5 % of households in the US were food insecure sometime during the year (Nord, Coleman-Jensen, Andrews, & Carlson, 2010). Children living in household...
Household Vulnerability to Food Insecurity in Gilgit-Baltistan, Pakistan: A VEP Approach
Household Vulnerability to Food Insecurity in Gilgit-Baltistan, Pakistan: A VEP Approach
Food insecurity is a serious challenge in Pakistan’s mountain regions. Households in this region face isolation, harsh climates, and poor access to markets and resources. This stud...


