Ibitola Et Al

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Ibitola et al

Greener Journal of Agricultural Sciences

Vol. 9(2), pp. 189-198, 2019

ISSN: 2276-7770

Copyright ©2019, the copyright of this article is retained by the
author(s)

DOI
Link:
http://doi.org/10.15580/GJAS.2019.2.040219062

http://gjournals.org/GJAS

 

 

 

Determinants
of Maize Framers’ Productivity among Smallholder Farmers in Oyo State, Nigeria

  

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

 

Department of Agricultural Economics,
University of Ibadan

 

ARTICLE INFO

ABSTRACT

 

Article
No.:
040219062

Type: Research

DOI: 10.15580/GJAS.2019.2.040219062

 

 

Smallholders
farmer’s productivity has be declining due to many problems ranging from
declining soil fertility to lack of basic inputs for their production.
Hence, this study examined the determinants of Maize farmers’ productivity
among smallholder Farmers in Oyo state Nigeria. A three stage sampling
procedure was used to collect data from rural maize farmers in Lagelu Local
Government area of Oyo state. Descriptive statistics, productivity analysis
and Ordinary Least Square Regression Model were used to isolate the factors
that affect maize farmers’ productivity in the study area. The
socio-economic characteristics of the respondents showed that majority of
them are male (68.3%), the age distribution showed that 56.1% are between
ages 41-60 years, a very good productive age for maize production. Majority
of the respondents are married (86.6%), while only 4.9% are youths, an
obvious albatross to maize production in Nigeria, with less youth population
in farming. The distribution of the Total factor productivity (TFP)
indicated that, 72(50.7%) of the respondents having TFP <1, 58(40.8%)
having TFP 1.01-2.00, 09(6.3%) and 03(2.1%) having TFP>2 and TFP=1
respectively. The result of double log production function  showed that the coefficients of labour,
farm size (hectares) are statistically significant at 1% p>1, while that
of farming experience is significant at 5% (p>5), with positives
coefficients. The adjusted R-squared of 0.8572 explained the coefficient of
variation of the maize farmers productivity model. It’s recommended that
farmers in the study area should be provided with tractors and other farm
implements that can help increase their productivity, also increasing the
farm size and land hectarage used for maize production should be prioritize.
There is also the need to train the farmers adequately on new and improved
farm practices; this will be like a boost to their experience in maize
production.

 

Submitted: 02/04/2019

Accepted:  05/04/2019

Published: 16/05/2019

 

*Corresponding
Author

Ibitola
O.R.

E-mail:
bossytola@ gmail. com

 

Keywords:

Smallholders
farmers; Productivity level; Maize production; Yield.

 

 

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Cite
this Article:
Ibitola OR;
Fasakin IJ; Popoola OO; Olajide OO (2019). Determinants of Maize Framers’
Productivity among Smallholder Farmers in Oyo State, Nigeria. Greener Journal
of Agricultural Sciences 9(2): 189-198, http://doi.org/10.15580/GJAS.2019.2.040219062.

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