乌干达小农获得信贷的驱动因素:二元Logistic模型的应用

D. Midamba, Atukunda Bwesigye Obrine, M. Kwesiga, Alela Beatrice, Ogei Kizito
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引用次数: 1

摘要

这项研究旨在确定乌干达小农获得信贷的驱动因素。采用横断面调查法对金家区374名农民进行数据采集,采用描述性统计和二元logistic回归模型对数据进行分析。此外,我们使用卡方检验和t检验来比较有和没有获得信贷的农民。结果表明,62.83%的农户获得了信贷。此外,有机会获得信贷的农民通常比没有机会获得信贷的农民富裕。拥有手机(p<0.01)、群体成员(p<0.01)、可获得推广(p<0.05)、农场规模(p<0.01)和市场距离(p<0.05)对信贷可获得性有显著正相关影响,而非农收入(p<0.05)与信贷可获得性呈负相关。为了增加小农获得信贷的机会,应鼓励农民购买手机,并加入团体,传播有关各种农业信贷来源的信息。推广工作人员还应努力接触到所有农民,并培训他们如何获得农业信贷。
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Drivers of Access to Credit Among Smallholder Farmers in Uganda: Application of Binary Logistic Model
This study aimed at determining the drivers of access to credit among smallholder farmers in Uganda. Using a cross-sectional survey, data were collected from 374 farmers in Jinja district, followed by data analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square and t-test to compare farmers with and without access to credit. The results showed that 62.83% of the farmers had access to credit. Additionally, farmers with access to credit were generally better off than those without access to credit. Having a mobile phone (p<0.01), group membership (p<0.01), access to extension (p<0.05), farm size (p<0.01) and distance to the market (p<0.05) had a positive and significant effect on credit access while non-farm income (p<0.05) showed an inverse relationship with credit access. To increase credit access among the smallholder farmers, farmers should be encouraged to purchase mobile phones and join groups where they would disseminate information on the various source of agricultural credit. Extension workers should also make effects of reaching all the farmers and training them on ways of accessing agricultural credit.
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