Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia

Despite the increasing global concern of improving food security, the determinants of food insecurity at household level in the rural areas have been poorly known. Therefore, the aim of this study was to analyze determinants of food insecurity at household level. A total of 383 households were selec...

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Main Authors: Tsidkineh Assefa, Ermias Beyene Abide
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402204052X
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author Tsidkineh Assefa
Ermias Beyene Abide
author_facet Tsidkineh Assefa
Ermias Beyene Abide
author_sort Tsidkineh Assefa
collection DOAJ
description Despite the increasing global concern of improving food security, the determinants of food insecurity at household level in the rural areas have been poorly known. Therefore, the aim of this study was to analyze determinants of food insecurity at household level. A total of 383 households were selected using multistage sampling techniques. The logistic regression model was used to analyze the data. The result revealed that odds of illiterate households were 2.376 times more likely than educated households to experience food insecurity in the rural areas (ref. (Coef. = 0.865, OR = 2.376, P = 0.006)). Households with landholdings of more than half hectare were less likely to experience food insecurity. (ref. (Coef. = 1.982, OR = 7.260, P = 0.000)). Odds of households who engaged in off-farm activities were 0.204 times less likely to experience food insecurity. (ref. (Coef. = −1.588, OR = 0.204, P = 0.000)). Households who adopt farm technologies were less likely to experience food insecurity than those who do not adopt farm technology (ref. (Coef. = −1.086, OR = 0.337, P = 0.001)). Odds of higher-aged household heads were 6.141 times more likely to experience food insecurity than younger-aged household heads (ref. (Coef. = 1.815, OR = 6.141, P = 0.000)). Larger household sizes were less likely to experience food insecurity (ref. (Coef. = −2.423, OR = 0.089, P = 0.000)). In conclusion, understanding determinants of food insecurity at household level is essential to achieve food security in rural areas. Results suggest implementation of the effective developmental programs are needed to reduce food insecurity in rural areas.
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spelling doaj.art-dca1653753694c3da0b5b10627e0bef52023-02-03T04:58:58ZengElsevierHeliyon2405-84402023-01-0191e12764Determinants of food insecurity in rural households: A case of lemo district, southern EthiopiaTsidkineh Assefa0Ermias Beyene Abide1College of Computational and Natural Sciences, Wachemo University, P.O.BOX 667, Hossa'ina, Ethiopia; Corresponding author.College of Agricultural Sciences, Wachemo University, P.O. BOX 667, Hossa'ina, Ethiopia; Corresponding author.Despite the increasing global concern of improving food security, the determinants of food insecurity at household level in the rural areas have been poorly known. Therefore, the aim of this study was to analyze determinants of food insecurity at household level. A total of 383 households were selected using multistage sampling techniques. The logistic regression model was used to analyze the data. The result revealed that odds of illiterate households were 2.376 times more likely than educated households to experience food insecurity in the rural areas (ref. (Coef. = 0.865, OR = 2.376, P = 0.006)). Households with landholdings of more than half hectare were less likely to experience food insecurity. (ref. (Coef. = 1.982, OR = 7.260, P = 0.000)). Odds of households who engaged in off-farm activities were 0.204 times less likely to experience food insecurity. (ref. (Coef. = −1.588, OR = 0.204, P = 0.000)). Households who adopt farm technologies were less likely to experience food insecurity than those who do not adopt farm technology (ref. (Coef. = −1.086, OR = 0.337, P = 0.001)). Odds of higher-aged household heads were 6.141 times more likely to experience food insecurity than younger-aged household heads (ref. (Coef. = 1.815, OR = 6.141, P = 0.000)). Larger household sizes were less likely to experience food insecurity (ref. (Coef. = −2.423, OR = 0.089, P = 0.000)). In conclusion, understanding determinants of food insecurity at household level is essential to achieve food security in rural areas. Results suggest implementation of the effective developmental programs are needed to reduce food insecurity in rural areas.http://www.sciencedirect.com/science/article/pii/S240584402204052XFood insecurityLogistic regressionOdds ratioRural households
spellingShingle Tsidkineh Assefa
Ermias Beyene Abide
Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia
Heliyon
Food insecurity
Logistic regression
Odds ratio
Rural households
title Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia
title_full Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia
title_fullStr Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia
title_full_unstemmed Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia
title_short Determinants of food insecurity in rural households: A case of lemo district, southern Ethiopia
title_sort determinants of food insecurity in rural households a case of lemo district southern ethiopia
topic Food insecurity
Logistic regression
Odds ratio
Rural households
url http://www.sciencedirect.com/science/article/pii/S240584402204052X
work_keys_str_mv AT tsidkinehassefa determinantsoffoodinsecurityinruralhouseholdsacaseoflemodistrictsouthernethiopia
AT ermiasbeyeneabide determinantsoffoodinsecurityinruralhouseholdsacaseoflemodistrictsouthernethiopia