Assessing the Operational Efficiency of Microfinance Institutions in India Using Data Envelopment Analysis

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Abstract

In the global landscape, more than one billion individuals at the bottom of the economic pyramid lack access to formal financial services. The increasing demand for a broad spectrum of financial solutions for these underserved populations has driven a market-driven revolution in microfinance. This movement has led to the development and delivery of a diverse array of financial products. Over the past three decades, the microfinance sector has experienced substantial growth and diversification, resulting in the emergence of diverse institutions and delivery models. Microfinance institutions (MFIs) play a crucial role in serving low-income customers, often extending loans without requiring collateral, in contrast to traditional financial institutions that demand security for lending to the economically disadvantaged. Furthermore, MFIs are actively engaged in providing skill-based training to enhance productivity, organizational support, and consciousness-building training to empower impoverished communities. These institutions employ innovative approaches to reach the poor, including group lending, progressive lending, regular repayment schedules, and alternatives to traditional collateral. While existing research in the microfinance sector primarily focuses on impact assessment studies, with an emphasis on understanding the effects of microfinance activities on the lives of the poor, particularly women, only a few studies have employed non-parametric linear programming-based DEA (Data Envelopment Analysis) models to evaluate the efficiency of microfinance institutions globally. Notably, the studies assessing the efficiency of Indian MFIs remain limited. This study is particularly relevant given its focus on the post-crisis period, post-2010. In order to ensure the sustained operation of microfinance institutions in the long term, it is essential for MFIs to reach as many borrowers as possible while minimizing operational costs. Therefore, this research endeavours to measure the input-oriented efficiency of selected microfinance institutions in India during the period spanning from 2011 to 2017.
利用数据包络分析评估印度小额信贷机构的运营效率
在全球范围内,超过10亿处于经济金字塔底层的人无法获得正规的金融服务。这些服务不足的人群对广泛的金融解决方案的需求日益增长,推动了小额信贷市场驱动的革命。这一运动导致了各种金融产品的开发和交付。在过去的三十年中,小额信贷部门经历了大幅增长和多样化,导致各种机构和交付模式的出现。小额信贷机构(mfi)在为低收入客户提供服务方面发挥着至关重要的作用,通常在不需要抵押品的情况下发放贷款,这与传统金融机构向经济弱势群体提供贷款需要担保的情况形成了鲜明对比。此外,小额信贷机构积极参与提供技能培训,以提高生产力、组织支助和意识建设培训,赋予贫困社区权力。这些机构采用创新方法向穷人提供贷款,包括团体贷款、累进贷款、定期还款时间表以及替代传统抵押品。虽然小额信贷部门的现有研究主要集中于影响评估研究,重点是了解小额信贷活动对穷人,特别是妇女生活的影响,但只有少数研究采用基于非参数线性规划的DEA(数据包络分析)模型来评价全球小额信贷机构的效率。值得注意的是,评估印度小额信贷机构效率的研究仍然有限。鉴于这项研究的重点是后危机时期,即2010年后,因此尤为重要。为了确保小额信贷机构的长期持续运作,小额信贷机构必须在尽量减少业务成本的同时接触到尽可能多的借贷者。因此,本研究试图衡量2011年至2017年期间印度选定的小额信贷机构的投入导向效率。
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