Assefa Tsidkineh, Abide Ermias Beyene
College of Computational and Natural Sciences, Wachemo University, P.O.BOX 667, Hossa'ina, Ethiopia.
College of Agricultural Sciences, Wachemo University, P.O. BOX 667, Hossa'ina, Ethiopia.
Heliyon. 2022 Dec 31;9(1):e12764. doi: 10.1016/j.heliyon.2022.e12764. eCollection 2023 Jan.
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.
尽管全球对改善粮食安全的关注度日益提高，但农村地区家庭层面粮食不安全的决定因素却鲜为人知。因此，本研究的目的是分析家庭层面粮食不安全的决定因素。采用多阶段抽样技术共选取了383户家庭。使用逻辑回归模型分析数据。结果显示，在农村地区，文盲家庭经历粮食不安全的可能性是受过教育家庭的2.376倍（参考值：（系数=0.865，比值比=2.376，P=0.006））。拥有超过半公顷土地的家庭经历粮食不安全的可能性较小（参考值：（系数=1.982，比值比=7.260，P=0.000））。从事非农业活动的家庭经历粮食不安全的可能性比其他家庭低0.204倍（参考值：（系数=-1.588，比值比=0.204，P=0.000））。采用农业技术的家庭比不采用农业技术的家庭经历粮食不安全的可能性更小（参考值：（系数=-1.086，比值比=0.337，P=0.001））。年龄较大的户主家庭经历粮食不安全的可能性是年龄较小的户主家庭的6.141倍（参考值：（系数=1.815，比值比=6.141，P=0.000））。家庭规模较大的家庭经历粮食不安全的可能性较小（参考值：（系数=-2.423，比值比=0.089，P=0.000））。总之，了解家庭层面粮食不安全的决定因素对于实现农村地区的粮食安全至关重要。结果表明，需要实施有效的发展计划来减少农村地区的粮食不安全状况。
