Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Agricultural Journal
Year: 2010  |  Volume: 5  |  Issue: 3  |  Page No.: 151 - 156

Determinants of Food Insecurity among Arable Farmers in Edo State, Nigeria

O. Ojogho    

Abstract: The examined the determinants of food insecurity among arable farmers in Egor and Oredo local government areas of Edo state in Nigeria. Both secondary and primary data were used. The descriptive statistics used the Greer-Thorbecke distributional measure of food insecurity while the inferential statistics used a multiple binomial logit regression model to analyze data of a set of socio-economic variables as the explanatory variables and food insecurity status as independent variable. The result showed that 41-50 years age group had 13.10, 2.90 and 0.86% as headcount index, short fall index and severity of food insecurity while the households with male as head had 21.62, 5.62 and 1.91% as headcount index, short fall index and severity of food insecurity, respectively. The education level of farmers, house hold size, output level of house hold and per capita income of the house hold were found to significantly affect food insecurity in the area. The probability of a house hold being food insecure due to house hold size, house hold dependency ratio, sex of house hold head, age and the level of education were 0.867, 0.815, 0.476, 0.812 and 0.018, respectively. At the mean values of determinants of food insecurity in the study the probability of a house hold being food insecure was 0.997 (99.7%). Approximately, three in every four people were found to be food insecure. Effort should be made to improve the income earning capacity of the house holds, their education levels and reduce the house hold size with a view to reducing their dependency ratio.

Fulltext    |   Related Articles   |   Back
  Related Articles

Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility