Factors Affecting Loan Repayment Performance of Smallholder Farmers in Ethiopia

Simachew Dubale, H. Beshir
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引用次数: 4

Abstract

Farm credit has been described as one of the pre-requisites for farmers to increase the agricultural production. However, the majority of Ethiopian population comprises small farmers, who cannot implement a technology without credit. Even though, there are attempts to solve these rural financial difficulties by government being collateral and extending microfinance institution, associated to different factors, a number of farmers are becoming defaulters and the lending institution faces a problem. This study focused on the analysis of factors affecting loan repayment performance of farmers in Simada District, South Gondor Zone and Amhara Regional State. In this study primary data collected from 150 randomly selected borrowers using structured questionnaire. Descriptive statistics such as mean, standard deviation, maximum, minimum and percentages were used to describe socio-economic and institutional characteristics of the respondents. The t-test and Chi-square test statistics were employed to compare defaulter and non-defaulter groups with respect to some explanatory variables. Finally, a Tobit regression model was employed to identify factors affecting loan repayment and intensity of loan recovery among smallholder farmer. Variance inflation factor and coefficient of contingency were calculated to detect multicollinearity and association among the continuous and discrete variables, respectively. A total of 14 explanatory variables were included in the empirical model and out of these, 8 were found to be statistically significant. Education level, Land holding size, total livestock holding, non farm income, expenditure on social festivals, number of years of experience in agricultural extension services, saving habit and source of credits were highly important in influencing loan repayment performance as evidenced by the model statistic. Therefore, the study suggests that improving the livestock sector, educating households, giving attention in promoting non-farm activities and saving habit, minimize traditional ceremonies are some of the important priority areas for the success of future intervention strategies aimed at the promotion technological transformation, increasing production and to minimize loan defaults..
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影响埃塞俄比亚小农贷款偿还绩效的因素
农业信贷已被描述为农民增加农业生产的先决条件之一。然而,埃塞俄比亚人口的大多数是小农,他们没有信贷就无法实施一项技术。尽管有人试图通过政府作为抵押品和扩大小额信贷机构来解决这些农村金融困难,但由于不同的因素,许多农民正在成为违约者,贷款机构面临着问题。本研究重点分析了影响西马达县、南刚铎区和阿姆哈拉州农民贷款偿还绩效的因素。本研究采用结构化问卷法对随机抽取的150名借款人进行调查。使用诸如平均值、标准差、最大值、最小值和百分比等描述性统计来描述受访者的社会经济和制度特征。采用t检验和卡方检验统计量比较违约组和非违约组对某些解释变量的影响。最后,采用Tobit回归模型对影响小农还贷和贷款回收强度的因素进行了分析。计算方差膨胀因子和偶然性系数,分别检测连续变量和离散变量之间的多重共线性和关联。实证模型共包含14个解释变量,其中8个被发现具有统计显著性。模型统计结果表明,受教育程度、土地拥有量、牲畜总拥有量、非农收入、社会节日支出、农业推广服务年限、储蓄习惯和信贷来源对贷款偿还绩效有重要影响。因此,研究表明,改善畜牧业、教育家庭、重视促进非农业活动和储蓄习惯、减少传统仪式是未来干预战略取得成功的一些重要优先领域,这些战略旨在促进技术改造、增加产量和尽量减少贷款违约。
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