当前位置: X-MOL 学术Social Indicators Research › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Socio-economic Drivers of Food Security among Rural Households in Nigeria: Evidence from Smallholder Maize Farmers
Social Indicators Research ( IF 2.8 ) Pub Date : 2021-01-20 , DOI: 10.1007/s11205-020-02590-7
Adebayo Isaiah Ogunniyi , Samuel Opeyemi Omotoso , Kabir Kayode Salman , Abiodun Olusola Omotayo , Kehinde Oluseyi Olagunju , Adeyemi Oladapo Aremu

Issues relating to food availability, accessibility/affordability, and food utilization remain paramount among different stakeholders such as policymakers and academics. Using data from 250 maize farming households in Nigeria, the study used Foster–Greer–Thorbecke and probit regression model to investigate the factors determining households food security. The food insecurity measure shows that 23.2% points of the households express the incidence of food insecurity while 5.5% points and 1.8% points were found to have depth and severity of food insecurity, respectively. After controlling for households’ socio-economic and demographic characteristics, the probit regression model suggested that, among others, value of output sold, education, credit access and participation in government safety nets program significantly influenced food security among the maize farmers in the study area. Based on our findings, effort should be intensified to enhance the productivity of land through improved production practices. There should be high-level awareness that will increase farmers’ participation in safety net programs. Thus, government at all levels (local, state, and federal) should have adequate budget allocation to this course in order to improve the livelihood outcomes of the farming households.



中文翻译:

尼日利亚农村家庭粮食安全的社会经济驱动因素:小农户玉米种植者的证据

在决策者和学者等不同的利益攸关方中,与粮食供应,可及性/可负担性以及粮食利用有关的问题仍然至关重要。利用尼日利亚250个玉米农户的数据,该研究使用Foster-Greer-Thorbecke和Probit回归模型研究了决定家庭粮食安全的因素。粮食不安全措施表明,有23.2%的家庭表示粮食不安全的发生率,而发现5.5%和1.8%的家庭分别有严重和严重的粮食不安全状况。在对住户的社会经济和人口特征进行了控制之后,概率回归模型表明,除其他因素外,出售产品的价值,教育,信贷获取和政府安全网计划的参与极大地影响了研究区域玉米农民的粮食安全。根据我们的发现,应加大努力,通过改进生产方式来提高土地的生产力。应该有高水平的认识,这将增加农民对安全网计划的参与。因此,各级政府(地方,州和联邦政府)应为此课程分配足够的预算,以改善农户的生计。

更新日期:2021-01-20
down
wechat
bug