Measuring the Social Value of Microcredit: A Social Distance Approach

衡量小额信贷的社会价值：社会距离方法

• 批准号: 2273246
• 金额: --
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2273246
• 关键词: Measuring; Social; Value; Microcredit; Distance

Background:Microcredit is the distribution of loans that are too small for commercial banks to undertake as pricing of risk for such loans is usually not feasible. Moreover, such type of loans are usually taken by the unemployed and impoverished, and as such, they are typacally not leveraged or secured. Losses on such have a high probability and is the reason commercial banks shy away from these due to targets on their interest margins and NPLs. However, there is evidence that the poorer customers are afraid of deteroriating relationships with banks and are thus safer borrowers (Federal Reserve Bank of Kansas, 2010).Research Objective: Given the prevelance of Microcredit in Bangladesh, the effect of microcredit in a different jurisdiction would build the literature with much needed insight, on the pricing and value these microcredit facilities have on the society. The study will undertake a different approach, a social distance approach, which implies to the different societal classes and demography such as race. The impact on the various classes would add to existing literature which mainly focuses on locational distance (Ouma R, Ogaga W, 2015).While it is widely believed that the above program has uplifted millions of poor from the cycles of poverty across the globe, a growing concern is whether it has widened the social distance among borrowers and non-borrowers. Growing social distance impacts cohesion and stability in any socio-economic system. We develop quantitative procedures to rigorously quantify social impacts of microcredit provisions and provide predictive effects of such a development for future policy and planning.Research Methodology: The study will be undertaken using Bangladeshi panel data over a period of 40 years, (1978-2018) with the intention of capturing vast information for analysis. Changes over time can be noted with analysis being undertaken using STATA and R. The use of both will be so as to ensure robustness in the output.

背景：小额信贷是商业银行无法承担的小额贷款的分配，因为对这种贷款的风险定价通常是不可行的。此外，这类贷款通常由失业者和贫困者获得，因此，它们通常没有杠杆或担保。在这方面出现亏损的可能性很高，这也是商业银行回避这类投资的原因，因为它们的目标是息差和不良贷款。然而，有证据表明，较穷的客户害怕破坏与银行的关系，因此是更安全的借款人（堪萨斯的联邦储备银行，2010年）。研究目标：鉴于小额信贷在孟加拉国的普及，小额信贷在不同管辖区的影响将建立文献，这些小额信贷设施对社会的定价和价值，急需的洞察力。这项研究将采取一种不同的方法，即社会距离方法，这意味着不同的社会阶层和人口统计学，如种族。对各阶层的影响将增加现有文献的主要重点是位置距离（Ouma R，Ogaga W，2015）。虽然人们普遍认为，上述计划已使地球仪上数百万贫困人口摆脱贫困循环，但越来越多的人担心它是否扩大了借款人和非借款人之间的社会距离。在任何社会经济体系中，不断增长的社会距离都会影响凝聚力和稳定性。我们开发的定量程序，严格量化的小额信贷规定的社会影响，并提供这样的发展为未来的政策和规划的预测效果。研究方法：这项研究将采用孟加拉国面板数据超过40年的时间，（1978年至2018年），捕捉大量的信息进行分析的意图。使用STATA和R进行分析，可以注意到随时间的变化。两者的使用将确保输出的鲁棒性。