Resilience of the group lending model to a COVID-19 induced shock: evidence from an Indian microfinance fund

IF 0.8 Q4 DEVELOPMENT STUDIES Indian Growth and Development Review Pub Date : 2024-08-27 DOI:10.1108/igdr-08-2023-0123
Padma Kadiyala, Asli Ascioglu
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Abstract

Purpose

The authors study the effect of an exogenous shock in the form of Coronavirus lockdowns on individual default and on default contagion within the microfinance (MF) sector in India. The authors rely on proprietary data obtained from an MF institution for the period from Nov 2019 to Dec 2020. The authors show that default increased to 95.29% in the month of April 2020, when Covid lockdowns were fully in place. However, borrowers bounced back thereafter, either making full or partial payments, so that defaults had fallen to 5.92% by December 2020. Static features of the group lending model like peer monitoring and joint liability help explain 90% of the monthly deficit during Covid lockdowns among uneducated borrowers. Dynamic features such as contingent renewal help explain why defaults were cured quickly through timely repayments. Finally, there is an absence of default contagion at the district level. Indeed, lagged own default explains 96.6% of variation in individual default, rather than contagion through group, village or district-level defaults. The authors conclude that the MF sector is resilient to exogenous shocks like the pandemic.

Design/methodology/approach

The authors use time series panel regressions, as well as cross-sectional regressions.

Findings

The authors find that borrower defaults increased significantly to 95.29% during the month of April 2020, when Covid lockdowns were fully in place. However, borrowers bounced back almost immediately, either making full or partial payments, such that defaults had fallen to 5.92% by December 2020. The group lending model does remarkably well in explaining defaults even during Covid lockdowns. Among the majority (92%) of borrowers who are residents of rural districts, the group lending model appears to blunt the impact of the exogenous shock on rates of default. Indeed, panel regressions demonstrate that the group lending model helps explain 90% of the monthly deficit among uneducated borrowers. Logistic regressions indicate that the group lending model is less persuasive among relatively affluent borrowers residing in semi-urban or urban areas who have some formal schooling. Contingent renewal is shown to be an effective disciplining mechanism when a group does default due to the Covid lockdowns. The authors find that groups who defaulted in April 2020 but repaid the outstanding balance within the next two months were more likely to receive subsequent loans from the lender. On the other hand, groups who defaulted in April 2020 and did not repay the outstanding balance until December 2020 did not receive follow-on financing. Finally, the authors find that lagged individual default is the primary source of individual default, rather than contagion through group, village or district-level defaults.

Research limitations/implications

The limitation of the study is that it is confined to a single MF institution in India.

Social implications

The authors conclude that the social capital that is the foundation of the group lending model succeeds in limiting both the risk and contagion of default from an exogenous shock, such as the Covid pandemic.

Originality/value

To the best of the authors’ knowledge, the authors are the first to examine defaults in the Indian MF sector during the Covid lockdowns in April 2020.

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集体贷款模式对 COVID-19 引发的冲击的复原力:来自印度小额信贷基金的证据
目的 作者研究了以冠状病毒锁定为形式的外源冲击对印度小额信贷(MF)行业内个人违约和违约传染的影响。作者从一家小额信贷机构获得了 2019 年 11 月至 2020 年 12 月期间的专有数据。作者发现,在 2020 年 4 月,当 Covid 锁定完全到位时,违约率上升到 95.29%。然而,借款人随后反弹,或全额还款,或部分还款,到 2020 年 12 月,违约率降至 5.92%。集体借贷模式的静态特征,如同伴监督和连带责任,有助于解释未受过教育的借款人在 Covid 锁定期间 90% 的月度赤字。或有续贷等动态特征则有助于解释为什么通过及时还款,违约很快就得到了解决。最后,在地区层面不存在违约传染。事实上,滞后的自身违约解释了 96.6% 的个人违约变化,而不是通过群体、村庄或地区层面的违约传染。研究结果作者发现,在 2020 年 4 月 Covid 封锁全面实施期间,借款人违约率大幅上升至 95.29%。然而,借款人几乎立即反弹,要么全额还款,要么部分还款,到 2020 年 12 月,违约率降至 5.92%。即使在 Covid 锁定期间,集体贷款模式也能很好地解释违约情况。在大多数(92%)居住在农村地区的借款人中,集体贷款模型似乎减弱了外生冲击对违约率的影响。事实上,面板回归表明,在未受过教育的借款人中,集体借贷模式有助于解释 90% 的月度赤字。逻辑回归表明,对于居住在半城市或城市地区、受过一定正规教育、相对富裕的借款人来说,集体借贷模式的说服力较弱。当一个群体因 Covid 锁定而违约时,有条件续贷被证明是一种有效的约束机制。作者发现,在 2020 年 4 月违约但在接下来的两个月内偿还了未偿余额的群体更有可能从贷款人那里获得后续贷款。另一方面,在 2020 年 4 月违约但直到 2020 年 12 月才偿还未偿余额的群体没有获得后续融资。最后,作者发现,滞后的个人违约是个人违约的主要来源,而不是通过群体、村庄或地区一级的违约传染。社会影响作者的结论是,作为群体借贷模式基础的社会资本成功地限制了外源冲击(如 Covid 大流行)造成的违约风险和传染。
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CiteScore
2.80
自引率
0.00%
发文量
7
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