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Access of Credit and Factors Affecting Loan Repayment Performance of Smallholders in Nekemte Town East Wollega Zone of Oromia Regional State

机译:基于Nekemte Town East Wollega区奥罗马岛地区国家的小农贷款偿还绩效的信誉和因素

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This study is concerned with analysis of factors affecting loan repayment performance of smallholders in East Wollega zone Nekemte town. As credit is one of the most important factors required for smallholders input utilization, its repayment to the lender is also of paramount importance to have sustainable agricultural development and financial institutions. Different agricultural development programs and strategies were implemented in the country in the past three decades. Secondary data from relevant institutions were used just to highlight on different approaches used in different decades regarding agriculture and agricultural credit development strategies. In the course of this study primary data were collected from 120 randomly selected farm household borrowers of fertilizer credit using structured questionnaire. These respondents were drawn from six Peasant association and two Saving and Credit service in the study area. For the analysis of farm data, descriptive statistics such as mean, standard deviation and percentages were used to describe socio-economic characteristics of the respondents. Partial correlation coefficient and variance inflation factor (VIF) were calculated to detect multi-co linearity and association among the continuous and discrete variables, respectively. Then, a multivariate tool, linear discriminate analysis, was used to identify the most important variables attributed to discriminate between non-defaulters and defaulters of fertilizer credit for 2018 production season. The result of the analysis showed that the frequency of contact with development agents, livestock ownership in livestock unit and celebration of occasional ceremonies were statistically significant factors responsible for the optimum discrimination rule between the two groups. Another multivariate tool, multiple linear regression analysis, was used to identify critical variables that contributed to timely repayment of loan for non-defaulter respondents. Experience in own farm, experience in credit use, proportion of area under pea, beans and wheat production, annual farm revenue, number of draught oxen owned, ownership of livestock in livestock unit, number of contacts with development agents.
机译:本研究涉及影响东威尔利加地区Nekemte Town中小农贷款偿还绩效的因素分析。由于信贷是小农投入利用所需的最重要因素之一,其对贷方的偿还也至关重要,以便拥有可持续的农业发展和金融机构。在过去的三十年中,该国实施了不同的农业发展方案和战略。相关机构的二级数据仅用于突出不同几十年的不同方法,了解农业和农业信贷发展战略。在本研究过程中,使用结构化问卷从120家随机选择的农场家庭借款人从120家随机选择的农场借款人收集。这些受访者来自六个农民协会和研究区的两次储蓄和信用服务。对于农场数据的分析,使用均值,标准偏差和百分比等描述性统计来描述受访者的社会经济特征。计算局部相关系数和差异膨胀因子(VIF)分别检测连续和离散变量之间的多Co线性度和关联。然后,用于确定2018年生产季节的非违规者和违法者之间的非违法者和违约者之间的最重要变量来识别最重要的变量。分析结果表明,与发展代理人的接触频率,牲畜单位的牲畜所有权以及偶尔仪式的庆祝活动是统计上的重要因素,负责两组之间的最佳歧视规则。另一个多变量工具,多元线性回归分析,用于识别有助于及时偿还非违法者受访者的贷款的临界变量。在自身农场的经验,信用的经验,豌豆,豆类和小麦生产的面积比例,年农业收入,草案牛草案,牲畜所有权,牲畜单位,与发展代理人的联系人数。

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