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Lenders and borrowers' collaboration-based risk mitigation credit market Factors influencing access to formal credit in the agricultural sector in the Benin Republic

机译:贷款人和借款人的合作的风险缓解信贷市场因素影响贝宁共和国农业部门的正式信贷

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Purpose The purpose of this paper is to study an innovative rice value chain financing system (VCFS) established in Benin, to identify the determinants of producers and processors access to formal credit, both at intensive and extensive margins. It focuses on multi-stakeholder platforms (MSP) which connect producers and processors in need of credit to potential financial lenders. Design/methodology/approach The empirical analysis uses rich cross-sectional survey data collected in Northern Benin in 2018. The sample consists of 215 rice producers and 217 rice processors randomly selected through a multi-stage sampling and interviewed with structured questionnaires. The empirical models analyze the determinants of the likelihood to receive a credit and the amount of credit received. To account for the sample selection and censored nature of the main outcome variable, the study considers a Heckman two-stage model coupled with a Tobit model for robustness checks. Findings The study finds that the MSP are effective in increasing access to formal credit and the amount borrowed. Producers and processors who are members of the MSP are more likely to receive credit and, conditional on being approved for credit borrower, a larger amount. Other key factors that significantly explain access to credit include the use of soft guarantee for securing a loan, the degree of participation in the platform and demographic characteristics. These findings are consistent across the Heckman and Tobit models.
机译:目的本文的目的是研究在贝宁建立的创新稻米价值链融资系统(VCFS),以确定生产者和处理器的决定因素,以获得密集和广泛的利润。它专注于多利益相关者平台(MSP),该平台连接有需要信用的生产商和处理器潜在金融贷款人。设计/方法/方法实证分析采用2018年北贝宁收集的丰富横断面调查数据。该样品由215米生产商和217家水稻处理器组成,通过多级采样随机选择,并采访了结构化问卷。经验模型分析了获得信贷和收到的信贷金额的可能性的决定因素。要考虑到主要结果变量的样本选择和审查的性质,该研究考虑了与鲁棒性检查的Tobit模型耦合的Heckman两级模型。调查结果发现,MSP在增加对正式信贷的获取和借入金额时有效。作为MSP的成员的生产者和处理器更有可能获得信贷,并且有条件地批准贷款借款人,更大的金额。大大解释信贷的其他关键因素包括使用软保证来确保贷款,参与平台和人口特征的程度。这些发现在赫克曼和TOBIT模型上是一致的。

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