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<title>RURAL LIVELIHOODS AND FOOD INSECURITY AMONG FARMING HOUSEHOLDS IN SOUTHWESTERN NIGERIA</title>
<link href="http://hdl.handle.net/123456789/1876" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/1876</id>
<updated>2026-04-04T08:43:42Z</updated>
<dc:date>2026-04-04T08:43:42Z</dc:date>
<entry>
<title>RURAL LIVELIHOODS AND FOOD INSECURITY AMONG FARMING HOUSEHOLDS IN SOUTHWESTERN NIGERIA</title>
<link href="http://hdl.handle.net/123456789/1877" rel="alternate"/>
<author>
<name>YAQOOB, Abdul Majeed</name>
</author>
<id>http://hdl.handle.net/123456789/1877</id>
<updated>2024-04-19T15:46:38Z</updated>
<published>2023-04-01T00:00:00Z</published>
<summary type="text">RURAL LIVELIHOODS AND FOOD INSECURITY AMONG FARMING HOUSEHOLDS IN SOUTHWESTERN NIGERIA
YAQOOB, Abdul Majeed
Rural livelihoods have been the subject of empirical analysis in development studies because&#13;
they play important roles in mitigating Food Insecurity (FI). In Nigeria, the incidence of FI&#13;
is higher among the rural populace, particularly the peasant farming households, than urban&#13;
households. Previous studies have linked aggregate measure of rural livelihoods to FI with&#13;
little attention to contributions of specific components to FI. Hence, the influence of rural&#13;
livelihoods on FI status of farming households in Southwestern Nigeria was investigated.&#13;
A five-stage sampling procedure was used. Osun and Ekiti States were purposively selected&#13;
based on poverty incidence in Southwestern Nigeria. Iwo and Osogbo ADP zones were&#13;
randomly selected from Osun, while Ikole and Ikere were selected from Ekiti. Eleven Local&#13;
Government Areas were randomly selected from the two states. Forty six villages were&#13;
randomly chosen proportionate to size, while 400 farming households were selected from&#13;
the villages. Semi-structured questionnaire was used to obtain information on socioeconomic characteristics (age, Being Married-BM, Household Size-HS, Farming&#13;
Experience-FE, education), livelihoods’ assets (Natural Asset-NA, Physical Asset-PA,&#13;
Human Asset-HA, Financial Asset-FA and Social Asset-SA), income sources, food&#13;
consumed and agro-ecological zones. Others included Dependency Ratio-DR, Access to&#13;
National Grid-ANG and Access to Irrigation-AI. Households that pursued On-farm (ONF),&#13;
On-farm with Off-farm (ONF-OF), On-farm with Non-farm (ONF-NF) and combined Onfarm, Off-farm and Non-farm (ONF-OF-NF) livelihoods were classified based on their&#13;
income sources. Households were classified as Core Food-Insecure (CFI), Moderately FoodInsecure (MFI) and Non Food-Insecure (NFI) based on food consumed. Data were analysed&#13;
using descriptive statistics, principal component analysis, income portfolio analysis,&#13;
multinomial logit model, food consumption scores and ordered probit model at &#120572;0.05&#13;
&lt;&#13;
Age of household heads was 51.9±11.4 years, while HS was 8±2.9 persons. Access to NA-&#13;
52.9%, PA-63.3%, HA-77.8% and SA-72.6% was high, while FA-37.3% was poorly&#13;
endowed. On-farm (3.6%), ONF-OF (17.8%), ONF-NF (19.7%) and ONF-OF-NF (58.9%)&#13;
were the choices of livelihoods pursued. The probability of specialising in ONF livelihood&#13;
was reduced by DR (-0.0377). The probability of pursuing ONF-NF was increased by ANG&#13;
(0.0744) and DR (0.0690), while BM (-0.0841) reduced it. Post Primary Education-PPE (-&#13;
0.2502) and DR (-0.0544) reduced the probability of pursuing ONF-OF-NF livelihood, while&#13;
BM (0.1584) increased it. Households that were CFI, MFI and NFI were 4.38%, 35.89% and&#13;
59.73%, respectively. The probability of being NFI was increased by age (0.0115), BM&#13;
(0.1073), HS (0.0166), PPE (0.1090), AI (0.1376), rain forest zone (0.1417), and FA&#13;
(0.1630), while extension services (-0.0040) and ANG (-0.1620) reduced it. Extension&#13;
services (0.0030), FE (0.0052), and ANG (0.1202) increased the probability of being MFI,&#13;
while age (-0.0085), BM (-0.0706), PPE (-0.0809), HS (-0.0123), AI (-0.1020) and rainforest zone (-0.1051), reduced it. Extension services (0.0011), FE (0.0018), and ANG&#13;
(0.0419) increased the probability of being CFI, while age (-0.0030), BM (-0.0277), PPE&#13;
(-0.0282), HS (-0.0043), AI (-0.0356), rain-forest zone (-0.0366) and FA (-0.4210) reduced&#13;
it.&#13;
On-farm rural livelihood relative to combined on-farm with off-farm and non-farm, reduced&#13;
food insecurity among farming households in Southwestern Nigeria.
</summary>
<dc:date>2023-04-01T00:00:00Z</dc:date>
</entry>
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