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January 2017 Vol.5 No.1
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Merit Research Journal of Agricultural Science and Soil
Science (ISSN: 2350-2274) Vol. 5(1) pp. 001-006,
January, 2017
Copyright © 2017 Merit Research Journals |
Original Research Article
Analysis of factors affecting credit repayment among cocoa (Theobroma
cacao) farmers in Ikom Local Government Area of Cross River
State, Nigeria |
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Ettah Otu Ikoi |
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Department of
Agricultural Economics and Extension, Faculty of Agriculture and
Forestry, Cross River University of Technology, PMB 102, Obubra,
Cross River State, Nigeria.
E-mail: ettahotu@gmail.com
Tel.: +2348022678802 and +2348037917647
Accepted January 15, 2017 |
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Abstract |
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This study
analyzed factors affecting credit repayment among cocoa (Theobroma
cacao) farmers in Ikom Local Government Area of Cross River
State, Nigeria. Data were collected from one hundred and twenty
(120) respondents and analyzed using descriptive statistics,
such as tables, frequency distribution and percentages and
multiple regression analysis. The following factors were found
to affect credit repayment: very high interest rate charged
(66.6% of the respondents), extortion by credit officers which
the credit size for cocoa production and late arrival of credit
(mostly after planting), little or no gestation period to credit
beneficiaries and small credit size. Result of the regression
analysis indicated that farm size, off- farm income and credit
size were all positively and significantly affecting rate of
credit repayment, at various probability levels. While household
size, education and age of farmers were variables found not to
influence the rate of credit repayment. The following
recommendations based on the findings of the study are made:
credit institutions should ensure that agricultural credit is
released to farmers before the cultivation periods, interest
rate for agricultural credit should be low (single digit) and
the credit amount given to farmers should be reasonable
especially at this inflationary period.
Key words: Agricultural credit, Cocoa, Multiple
regression analysis, Repayment
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