Ibitola Et Al 2


Ibitola et al

Greener Journal of Agricultural Sciences

Vol. 9(2), pp. 199-207, 2019

ISSN: 2276-7770

Copyright ©2019, the copyright of this article is retained by the






Analysis of Maize Farming Households in Oyo State, Nigeria


O.R.; Fasakin I.J.; Popoola O.O.; Olajide O.O




Department of Agricultural Economics,
University of Ibadan








Type: Research

DOI: 10.15580/GJAS.2019.2.040219063



One of the
problems cited as constraining the production of maize in Nigeria is
stagnant production technology among Nigerian farming community, majority of
who are small-scale producers. Thus, this study examined the poverty status
as well as analysed the factors affecting poverty profile of maize farming
households in Oyo State. Primary data were obtained from 180 maize farmers
by multistage random sampling with the aid of well-structured questionnaire
and interview schedule. The data were analysed using descriptive statistics,
Foster-Greer Thorbecke index and probit regression model. The results of
descriptive statistics revealed that 68.3% of maize farmers were male with
majority (56.1%) between 41 and 60 years of age who were married (86.6%)
with relatively large household members. The results also showed that 76.1%
of them used their personal land either acquired by inheritance or bought
and 79.9% had formal education. The results of FGT analysis showed that
poverty incidence was 35.2%, poverty depth was 16.1% and poverty severity
was 10.9%. Meanwhile, probit regression model results revealed that
household size, farmer’s expenditure, age, gender, marital status and
improved technology were the factors affecting the poverty profile of the
maize farming households. The study therefore recommended that farmers in
the study area could reduce their poverty depth by controlling the number of
child births, increase revenue generated from maize farm and adoption of
new/improved technology.


Submitted: 02/04/2019

Accepted:  05/04/2019

Published: 16/05/2019




bossytola@ gmail. com



Farmers; Poverty; Probit Regression; Foster-Greer-Thorbecke index



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this Article:
Ibitola OR;
Fasakin IJ; Popoola OO; Olajide OO (2019). Poverty Analysis of Maize Farming
Households in Oyo State, Nigeria. Greener Journal of Agricultural Sciences
9(2): 199-207, http://doi.org/10.15580/GJAS.2019.2.040219063.

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