Factors affecting loan repayment rate among smallholder farmers got loans from the Amhara Credit and Saving Institution: In the case of Habru District, Amhara Regional State, Ethiopia

Pub Date : 2021-10-20 DOI:10.1177/22338659211040993
Andualem Kassegn, E. Endris
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引用次数: 7

Abstract

The aim of this paper was to examine factors affecting loan repayment rate among smallholder farmers in the Habru District, Ethiopia, who had taken loans from the Amhara Credit and Saving Institution. In this study, both primary and secondary sources were used. The study employed a combination of multi-stage purposive and stratified sampling techniques in the selection of 384 borrowers from smallholder farmers in the study area. The Tobit model result found that a total of 10 out of the total 15 explanatory variables involved in the model were found to be statistically significant. According to the result demographic factors (age and household size), socio-economic factors (educational level, land size, livestock size, nonfarm income, purpose of borrowing), and institutional factors (road distance, contact with development agents, training received on loan use) were among the factors that influenced loan repayment rate of smallholder borrowers in the study area. Education level, land size, livestock size in tropical livestock unit, nonfarm income, purpose of borrowing, contact with agricultural extension agents, and training received on loan use were found to determine loan repayment rate of borrowers positively and significantly, while age, family size, and road distance were found to negatively and significantly determine loan repayment rate in the study area. Therefore, the overall results of this study underlined the great importance of the significant factors to profoundly achieve high repayment rate on borrowed funds from the Amhara Credit and Saving Institution in the studied area.
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影响从阿姆哈拉信贷和储蓄机构获得贷款的小农还款率的因素:以埃塞俄比亚阿姆哈拉州哈布鲁县为例
本文的目的是研究影响埃塞俄比亚哈布鲁地区从阿姆哈拉信贷和储蓄机构获得贷款的小农还款率的因素。在本研究中,我们使用了一手资料和第二手资料。本研究采用多阶段目的抽样和分层抽样相结合的方法,从研究地区的小农中选择了384名借款人。Tobit模型结果发现,模型中涉及的15个解释变量中,有10个变量具有统计显著性。根据研究结果,人口因素(年龄和家庭规模)、社会经济因素(教育水平、土地规模、牲畜规模、非农收入、借贷目的)和制度因素(道路距离、与开发机构的联系、接受的贷款使用培训)是影响研究地区小农借款人贷款还款率的因素。研究发现,受教育程度、土地规模、热带畜牧单位牲畜规模、非农收入、借贷目的、与农业推广机构的联系以及接受的贷款使用培训对借款人的贷款还款率有显著的正向影响,而年龄、家庭规模和道路距离对借款人的贷款还款率有显著的负向影响。因此,本研究的总体结果强调了显著因素对于在研究地区深刻实现阿姆哈拉信用储蓄机构借款的高还款率的重要性。
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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