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Factors Affecting Loan Repayment Performance of Smallholder Farmers in Ethiopia

机译:影响埃塞俄比亚小农贷款偿还履行的因素

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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..
机译:农业信贷被描述为农民增加农业生产的前列前提。然而,大多数埃塞俄比亚人口都包括小农,他们无法在没有信用的情况下实施技术。即使,有试图通过政府抵押和延长与不同因素的小额信贷机构来解决这些农村财务困难,许多农民正在成为违规者,贷款机构面临着问题。本研究侧重于影响辛达区农民贷款偿还绩效的因素分析,南上山区和阿哈拉区域国家。在本研究中,使用结构调查问卷从150个随机选择的借款人收集的主要数据。描述性统计数据如平均值,标准偏差,最大值和百分比用于描述受访者的社会经济和体制特征。采用T检验和Chi-Square测试统计数据以比较一些解释变量的缩小器和非义柱组。最后,采用了一台Tobit回归模型来确定影响小农农民贷款偿还和贷款回收强度的因素。计算差异膨胀因子和应急系数分别检测连续和离散变量之间的多色性和关联。在经验模型中,总共包括14个解释性变量,其中8个被发现存在统计学意义。教育水平,土地控股规模,畜牧业持有,非农收入,社交节的支出,农业推广服务的多年经验,储蓄习惯和学分来源在影响贷款偿还绩效时非常重要,这是由模型统计所证明的。因此,该研究表明,改善畜牧业,教育家庭,在促进非农活动和拯救习惯方面,最大限度地减少传统仪式是一些重要的干预战略成功的重要优先领域,旨在促进技术改造,增加生产并最大限度地减少贷款默认值..

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