| Title | Document Summary | Document Category | Date Uploaded (mm/dd/yyyy) | Action |
|---|---|---|---|---|
| Determinants of Rural Household Food Security Status in North Shewa Zone, Amhara Region, Ethiopia | Food insecurity is one of the most serious problems in developing countries, especially in Ethiopia. Therefore, it is important to understand the barriers to improving the state of food security in the country. +us, this study aims to investigate the determinants of food security of rural households in the North Shewa zone in the Amhara region, Ethiopia. A sample of 796 farm households was considered. +is paper used the calorie intake method per day to measure household food security status and a logit model to investigate the determinants of food security. The results show that family size, age of the household head, educational level of the head, off-farm activities, monthly income of the household, and distance from the market are the major determinants of rural household food security in the North Shewa Zone. The findings suggest that expanding the access to education in farm households, expanding the access to off-farm activities to increase household income, and expanding market access to farm households are important to improve rural food security status in the study area. | Food Security | 2022-11-09 | |
| The Status of Household Food Insecurity: The Case of West Belesa, North Gondar, Amhara Region, Ethiopia. |
The vast majority of extraordinarily poor households live in rural areas that are heavily reliant on rain fed agriculture. In Ethiopia, the Amhara region in particular, has been prone to much suffering in the past, and was one of the hardest hit areas. Different projects and programs were designed and implemented to reduce household food insecurity. However, the effect of the program whether household food insecurity is reduced or not was not yet assessed in these areas. This is therefore, to investigate the current food insecurity status of different households and the determinant factors that affect household food insecurity in the study area. A multistage sampling method was employed to select 120 respondents from West Belesa Woreda, and structured survey questionnaire was designed to collect quantitative data. Data was analyzed using descriptive statistics and econometric model. From the study it was found out that about 35.8% of the respondent households were food insecure and the remaining 64.2% of them were food secure that indicated the reduction of food insecurity status of the people in the study area. Among the different variables hypothesized to affect household food insecurity, family size, total income, distance from market, total livestock holding, and losses of crops were found to be significant variables to affect household food insecurity. It can be concluded that because of the intervention of many projects and programs the food insecurity status of the woreda was reduced to 35.8 %. This indicates that the efforts done by the government and non-governmental organizations before the study year were somehow successful. Therefore, Governmental and Non-governmental organizations still have to work more to minimize the food insecurity status of West Belesa in particular and drought prone woredas of the region in general.
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Food Security | 2022-11-09 | |
| Level and Determinants of Food Security in North Wollo Zone (Amhara Region – Ethiopia) | This paper examines the Determinants of food security in North Wollo Zone. Primary data from 335 households were collected from 16 kebeles of the zone. We used multistage sampling technique, and questionnaire and FGD were used to collect primary data. Both descriptive and econometric method of analysis were used. For econometric analysis, a logistic regression procedure was employed on household socio-economic cross-sectional data collected in 2016 (April and May). Of the fifteen variables fitted in the model; the age of household head, dependency ratio, average monthly expenditure, non-farm income, family size, distance from input market, farmland size, the number of oxen and livestock ownership were found to be significant. About 42 percent of the sample households were measured to be food insecure. Also, the incidence of food insecurity, food insecurity gap, and severity of food insecurity was 42, 14 and 7 percent respectively. These results have important policy implications for the expansion of non-farm activities and the introduction of livestock stocking programs at the household level to improve the food security status of households. | Food Security | 2022-11-09 | |
| Level and determinants of food insecurity in East and West Gojjam zones of Amhara Region, Ethiopia: a community based comparative cross-sectional study | Background: Food insecurity remains highly prevalent in developing countries and over the past two decades it has increasingly been recognized as a serious public health problem, including in Ethiopia. An emerging body of literature links food insecurity to a range of negative health outcomes and causes of a decline in productivity. The objectives of the present study were to determine the level of food insecurity in East Gojjam zone where the productive safety net program is available, and in West Gojjam zone where there is no program, and to identify the determinants of food insecurity in both East and West Gojjam zones of Amhara Region, Ethiopia. Methods: Community based comparative cross-sectional study design was used from 24 May 2013- 20 July 2013. Multistage sampling technique was implemented. A total of 4110 randomly selected households in two distinct populations were approached to be included in the study. Availability and absence of the productive safety net program between the two study areas was used to categorize them as comparative groups; otherwise the two communities are comparable in many socio-cultural characteristics. The household food security access scale questionnaire, developed by the Food and Nutrition Technical Assistant Project, was used to measure food security level. Socio-demographic and other household level information were collected by using a structured questionnaire. The binary logistic regression model was used to assess factors associated with food insecurity. Results: From the total 4110 households, 3964 (96.45 %) gave complete responses. The total prevalence of food insecurity was 55.3 % (95 % CI: 53.8, 56.8). To compare food insecurity levels between the two zones, nearly sixty percent, 59.2 % (95 % CI: 57 %, 61.4 %) of the East Gojjam and 51.3 % (95 % CI: 49.1 %, 53.5) of West Gojjam households were food insecure. Family size (2–4) (AOR = 0.641, 95 % CI: 0.513, 0.801), non-merchant women (AOR = 1.638, 95 % CI: 1.015, 2.643), household monthly income quartiles, 1st (AOR = 2.756, 95 % CI: 1.902, 3.993), and 2nd (AOR =1.897, 95 % CI: 1.299, 2. 775) were the significant socio-demographic determinants in east Gojjam zone. Illiterate mothers (AOR = 1.388, 95 % CI: 1.011, 1.905), household monthly income quartiles, 1st (AOR = 3.110232, 95 % CI: 2.366, 4.415), 2nd (AOR =2.618, 95 % CI: 1.892, 3.622) and 3rd (AOR = 2.177, 95 % CI: 1.6911, 2.803) were the significant socio-demographic predictors in west Gojjam zone. Rural residential area (AOR = 3.201, 95 % CI: 1.832, 5.594) and (AOR = 2.425, 95 % CI: 1.79, 3.272), highland agro-ecology (AOR = 2.193, 95 % CI: 1.348, 3.569 and AOR = 3.669, 95 % CI: 2.442, 5.513) and lack of livestock (AOR = 1.553, 95 % CI: 1. 160, 2.078 and AOR = 1.568 95 % CI: 1.183, 2.080) were significant environmental predictors in east and west Gojjam zones respectively. | Food Security | 2022-11-09 |
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