The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.
Published in | Economics (Volume 8, Issue 2) |
DOI | 10.11648/j.eco.20190802.13 |
Page(s) | 55-61 |
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. |
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Copyright © The Author(s), 2019. Published by Science Publishing Group |
Food Insecurity, FGT, Logistic Regression, Wolaita Zone, Ethiopia
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APA Style
Ermias Ganamo Gazuma, Ayana Anteneh Astatike. (2019). Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics, 8(2), 55-61. https://doi.org/10.11648/j.eco.20190802.13
ACS Style
Ermias Ganamo Gazuma; Ayana Anteneh Astatike. Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics. 2019, 8(2), 55-61. doi: 10.11648/j.eco.20190802.13
AMA Style
Ermias Ganamo Gazuma, Ayana Anteneh Astatike. Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics. 2019;8(2):55-61. doi: 10.11648/j.eco.20190802.13
@article{10.11648/j.eco.20190802.13, author = {Ermias Ganamo Gazuma and Ayana Anteneh Astatike}, title = {Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia}, journal = {Economics}, volume = {8}, number = {2}, pages = {55-61}, doi = {10.11648/j.eco.20190802.13}, url = {https://doi.org/10.11648/j.eco.20190802.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20190802.13}, abstract = {The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.}, year = {2019} }
TY - JOUR T1 - Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia AU - Ermias Ganamo Gazuma AU - Ayana Anteneh Astatike Y1 - 2019/06/17 PY - 2019 N1 - https://doi.org/10.11648/j.eco.20190802.13 DO - 10.11648/j.eco.20190802.13 T2 - Economics JF - Economics JO - Economics SP - 55 EP - 61 PB - Science Publishing Group SN - 2376-6603 UR - https://doi.org/10.11648/j.eco.20190802.13 AB - The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area. VL - 8 IS - 2 ER -