This study examines the level and determinants of households’ vulnerability to food insecurity using feasible generalised least square method. Data were collected using structured questionnaires from a random sample of 574 households. Descriptive results indicated that the incidence, depth and severity of food insecurity were 68, 31 and 18 per cent, respectively, while mean vulnerability to food insecurity was 73.34 per cent. The mean level of vulnerability to food insecurity at Chencha (humid), Demba Gofa (semi-arid) and Kamba (arid) districts were 77, 55 and 84 per cent, respectively. In addition, the mean kilocalorie deficiency gap in the study areas was 682 Kcal per adult equivalent per day, while the mean kilocalorie deficiency gaps which would be needed to lift households out of food insecurity were 462, 440 and 506 Kcal per adult equivalent per day at Chencha (humid), Demba Gofa (semi-arid) and Kamba (arid) districts, respectively. Regression results revealed that the age of household head, family size, safety net programmes, distance from healthcare and death of household members significantly increase households’ vulnerability to food insecurity. But farm income, irrigation use and credit use significantly decrease households’ vulnerability to food insecurity. The government needs to provide credit, viable off-farm employment, small-scale irrigation services and road infrastructure to rural poor to reduce vulnerability to food insecurity. Population control and family planning would also increase resource and consumption per capita and will lead to lower vulnerability.
This study aimed at assessing the level and determinants of students' vulnerability to attrition in Arba Minch University, Southern Ethiopia using a random sample of 547 students. The study revealed that, out of 547 sample students, 207 (38%) students were found highly vulnerable to attrition, 51 (9%) students were moderately vulnerable and the remaining 289 (53%) were not vulnerable. From highly vulnerable categories of students, 132 (64%) were female, while 75 (36%) were male students. With respect to place of origin, out of 207 highly vulnerable students, 119 (57%) of students were from rural areas where as 88 (43%) of students were from urban areas. In addition, 40% of students who were placed to a study program without their interest were highly vulnerable. The study also revealed that first year students are more likely vulnerable to attrition than second and third year students. Logistic regression result revealed that gender, students' satisfaction, study hours, monthly income and faculty of study significantly affect students' vulnerability to attrition. So, to reduce the number of unfinished degrees and reduce vulnerability to attrition, leaders of higher institution should give due attention to students' program placement, tutorials for female students and provision of better student services.
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