社会关系、获得贷款的途径以及储蓄和贷款协会的贷款偿还:来自坦桑尼亚农村的证据

IF 1.5 Q3 AGRICULTURAL ECONOMICS & POLICY Agricultural Finance Review Pub Date : 2021-10-12 DOI:10.1108/afr-03-2021-0036
H. Pamuk, M. van Asseldonk, R. Ruben, Tumainiely Kweka, C. Wattel, J. Hella
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引用次数: 4

摘要

目的农村储蓄贷款协会的制度结构影响其绩效。定义明确的团体成员界限的指导原则之一是制定谁有权访问的规则。社会关系是会员资格的一个突出要求。本研究的目的是为社会关系成员资格标准对储蓄和贷款协会绩效的作用提供定量证据。设计/方法/方法2019年7月至8月,对坦桑尼亚伊林加区13个村庄的48个协会进行了横断面调查。在目前的研究中,作者使用两个指标来衡量成员之间的社会关系,即社会封闭协会(该协会适用的标准是只接受亲属、朋友或来自同一村庄的成员)和物理距离(来自其他村庄的成员比例),物理距离和表现,即使在像伊林加区这样的小而同质的地区也是如此。向有社会关系的成员更容易提供贷款与贷款偿还率呈负相关。应用社会亲密度标准的协会比不应用的协会的违约率更高。当来自其他村庄的成员在社会联系协会中所占比例增加时,违约率会变得更糟。实际含义身体上疏远的成员更有可能违约,因为他们在与社会关系密切的成员交往时感受到的社会压力较小。发展从业者和政策制定者应综合考虑潜在的影响。原创性/价值作者在农村地区社区金融组织的背景下,使用一种新的多层次财务绩效数据,提供了储蓄和贷款协会中社会关系对信贷获取和还款的相关性的经验证据。
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Social ties, access to loans, and loan repayments in savings and loan associations: evidence from rural Tanzania
PurposeInstitutional structures of rural savings and loan associations influence their performances. One of the guiding principles for defining clear group membership boundaries is by setting rules on who has access. Social ties is a prominent requirement for membership. The objective of the current study is to provide quantitative evidence on the role of social ties membership criteria for the performance of saving and loan associations.Design/methodology/approachA cross-sectional survey was conducted in July–August 2019 comprising 48 associations in 13 villages in the Iringa District of Tanzania. In the current study, the authors use two indicators to measure the social ties between members, namely social closed association (the association applies criteria to accept only members who are relatives, friends or from the same hamlet) and physical distance (the fraction of members from other villages).FindingsThe authors find that associations are diverse both in terms of social ties, physical distance and performance, even in a small homogeneous region like Iringa District. Providing loans more easily to members with social ties has a negative relationship with loan repayment rates. Associations applying the social closeness criteria experience higher default rates than those not applying. The default rates become even worse when the fraction of member members from other villages increases in the socially tied associations.Practical implicationsPhysically distant members are more likely to default as they perceive less social pressure in an association with socially tied members. Development practitioners and policy makers should integrate the potential implications.Originality/valueThe authors provide empirical evidence on the relevance of social ties on credit access and repayment in savings and loan associations, using a novel multi-level data on financial performance in the context of community-based finance organizations in rural areas.
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来源期刊
Agricultural Finance Review
Agricultural Finance Review AGRICULTURAL ECONOMICS & POLICY-
CiteScore
3.70
自引率
18.80%
发文量
24
期刊介绍: Agricultural Finance Review provides a rigorous forum for the publication of theory and empirical work related solely to issues in agricultural and agribusiness finance. Contributions come from academic and industry experts across the world and address a wide range of topics including: Agricultural finance, Agricultural policy related to agricultural finance and risk issues, Agricultural lending and credit issues, Farm credit, Businesses and financial risks affecting agriculture and agribusiness, Agricultural policies affecting farm or agribusiness risks and profitability, Risk management strategies including the use of futures and options, Rural credit in developing economies, Microfinance and microcredit applied to agriculture and rural development, Financial efficiency, Agriculture insurance and reinsurance. Agricultural Finance Review is committed to research addressing (1) factors affecting or influencing the financing of agriculture and agribusiness in both developed and developing nations; (2) the broadest aspect of risk assessment and risk management strategies affecting agriculture; and (3) government policies affecting farm profitability, liquidity, and access to credit.
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Multi-step commodity forecasts using deep learning Regional analysis of agricultural bank liquidity Data-driven determination of plant growth stages for improved weather index insurance design Utilizing FSA conservation loan programs to support farm conservation activities Evaluation of alternative farm safety net program combination strategies
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