IJAIR NAAS Score : 3.99 ,ISSN : 2319-1473

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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"


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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"


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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.

IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"


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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.

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Gender Production Efficiency among Soybean Farmers in Gboko Local Government Area of Benue State, Nigeria

P. I. Okpolu; Victor A. Chukwu
This study focused on the analysis of gender production efficiency among soy bean farmers in Gboko Local Government Area of Benue State, Nigeria. Primary data were collected from 100 respondents (50 male and 50 female) soybean farmers; through multi-stage random sampling techniques; with the aid of questionnaire and analyzed using descriptive and inferential statistics. The result shows that majority (48%) and (52%) of male and female were between the ages of 41-50 years. Majority (52%) and (64%) of male and female were married. Primary education was attained by majority (32%) of male while majority (50%) of the female had no formal education. The household size of majority (48%) and (42%) ranged between 11 – 14 and 5-10 among male and female farmers. The farm size of majority (48%) and (50%) of the male and female farmers ranged between 3-4.99 and 0- 2.99 hectares; while their annual income ranged between N201 – N300 respectively. Further analysis shows that majority (62%) and (50%) male and female farmers were full-time farmers; whose farming experience ranged between 11-15 for majority 26 % and 36 % of male and female farmers. Most of the respondents 50 % of the male farmers inherited land while 40% of the female farmers used family land. Labour exchange was used by majority 40% male whereas 40% female hired labour. Inorganic fertilizer was used by majority 40% of the respondents. Majority 90% and 98% and 60% and 70% of the male and female farmers adopted manual tilling and weeding respectively. While harvesting and fertilizer applications were done manually by 100 % and 90% and 96% of male and female respondents whose output in kg ranged between 11,000 -15,000kg and 100-500kg for the male and female soybean farmers respectively. The result of regressions analysis shows that male soya bean farmers were more efficient in the use of resources than their female counterparts with R2 of 0.851 (85.1%) and 0.666 (66.6%). All independent variables in the regression model were found to be statistically significant. Factors such as high cost of inputs, pests and diseases among others were found to constitute major constraints to soybean production. Two Null hypotheses tested at 0.05 level of significance using F-test and Chi-square were rejected showing that there was significant difference between inputs and outputs obtained by male and female soya bean farmers. The study revealed that there was gender differential in soya bean production. It was recommended that soybean production could be increased by improving farmers’ access to basic inputs and through effective extension service delivery and as well as enhancing female farmers’ access to farm productive resources.
Select Volume / Issue:
Year:
2015
Type of Publication:
Article
Keywords:
Gender; Production; Efficiency; Soybean; Farmers; Benue State; Nigeria
Journal:
IJAIR
Volume:
4
Number:
2
Pages:
270-278
Month:
September
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