Factors Influencing Credit Default: A Case Study of Maize Farmers in the Asante Akim North District of Ashanti Region

F. Nimoh, E. K. Tham-Agyekum, Samuel Ayisu
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引用次数: 5

Abstract

In order to empirically assess the factors causing the default of credit repayment among maize farmers, a study of this nature becomes imperative. The Asante Akim North District of the Ashanti Region was selected because, maize farmers in the District had benefitted from the Special Maize Project (SMP). The target population was all 400 maize farmers. A total sample size of 60 maize farmers was selected using the systematic sampling for every 5th person from the sampling frame. Frequencies, percentages and the probit model were used to analyse the data. Results of the probit model revealed that age, household size, rent, status of farmer and output significantly influence credit default. About 87% of the farmers con- sider the SMP idea as a good step by MOFA. The study recommends that farmers from different areas should also be included in the project.
信用违约影响因素:以阿散蒂地区阿散蒂阿基姆北区玉米农户为例
为了实证地评估造成玉米农户信用违约的因素,对这一性质的研究势在必行。选择阿散蒂地区的阿散蒂阿基姆北区是因为该区的玉米农民从特殊玉米项目(SMP)中受益。目标人群是全部400名种植玉米的农民。采用系统抽样法,每隔5人抽取60名玉米农户作为样本。使用频率、百分比和概率模型对数据进行分析。probit模型结果显示,年龄、家庭规模、租金、农民地位和产量对信用违约有显著影响。约87%的农民认为农业部的SMP计划是一项很好的举措。该研究建议,来自不同地区的农民也应纳入该项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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