The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy.
Published in | International Journal of Business and Economics Research (Volume 9, Issue 4) |
DOI | 10.11648/j.ijber.20200904.16 |
Page(s) | 202-206 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Calorie Intake, Coping Strategy, Food Insecurity, Konso, Logit Model
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APA Style
Aynalem Moges, Mada Melkamu. (2020). Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. International Journal of Business and Economics Research, 9(4), 202-206. https://doi.org/10.11648/j.ijber.20200904.16
ACS Style
Aynalem Moges; Mada Melkamu. Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. Int. J. Bus. Econ. Res. 2020, 9(4), 202-206. doi: 10.11648/j.ijber.20200904.16
AMA Style
Aynalem Moges, Mada Melkamu. Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. Int J Bus Econ Res. 2020;9(4):202-206. doi: 10.11648/j.ijber.20200904.16
@article{10.11648/j.ijber.20200904.16, author = {Aynalem Moges and Mada Melkamu}, title = {Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia}, journal = {International Journal of Business and Economics Research}, volume = {9}, number = {4}, pages = {202-206}, doi = {10.11648/j.ijber.20200904.16}, url = {https://doi.org/10.11648/j.ijber.20200904.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20200904.16}, abstract = {The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy.}, year = {2020} }
TY - JOUR T1 - Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia AU - Aynalem Moges AU - Mada Melkamu Y1 - 2020/06/29 PY - 2020 N1 - https://doi.org/10.11648/j.ijber.20200904.16 DO - 10.11648/j.ijber.20200904.16 T2 - International Journal of Business and Economics Research JF - International Journal of Business and Economics Research JO - International Journal of Business and Economics Research SP - 202 EP - 206 PB - Science Publishing Group SN - 2328-756X UR - https://doi.org/10.11648/j.ijber.20200904.16 AB - The aim of this study was to identify determinant factors and status of household food insecurity in Konso district. The study employed primary data collected from 203 households selected by using simple random sampling method. Binary logistic models and household calorie acquisition methods were employed to identify factors and categorize households into food secured and insecure. The survey result shows that in Konso district, about 80% households were found to be food insecure and majority households were mildly food insecure. The result of the binary logistic analysis showed that, of the twelve explanatory variables expected to determine household’s food insecurity in Konso district, only eight variables significantly determine household’s food insecurity situations both positively and negatively at 1%, 5% and 10% significance level. In the study area, farmland size, education level, off-farm income, livestock number and agro-ecology determine negatively and significantly household food insecurity. On the other hand, family size, dependency ratio and distance from market determine positively and significantly household food insecurity. To solve the food insecurity problem in a rural area like Konso, focus should be given to increase education level, off-farm income, livestock and equal focus is also important to reduce family size through a core rural development strategy. VL - 9 IS - 4 ER -