Investigating the Impact of Non-Performing Assets on Efficiency of Public Sector Banks in India

A. Sinha, Sudin Bag
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Abstract

Financial system plays an important role in an economy. The banking sector in India has been undergoing reforms for a long time with the aim to develop competitiveness, increase inclusiveness, create big-sized banks and improve operational efficiency. The present investigation looks at the efficiency of the public sector banks for the period 2012–2018, using data envelopment analysis under the assumption of constant returns to scale. The two-input, two-output model is used to determine the efficiency levels on the basis of Minimum Distance to Strong Efficient Frontier as proposed by Aparicio et al. (2007). In order to capture the effect of non-performing assets (NPAs), efficiency is computed under the restricted (with NPAs not included) and unrestricted model (with NPAs considered as an undesirable output). The study finds that majority of the banks have been consistently performing quite well compared to their peers and overall industry. The correlation in the ranking of banks under the two models shows high and significant value in all the years.
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调查不良资产对印度公共部门银行效率的影响
金融体系在一个经济体中扮演着重要的角色。印度银行业长期以来一直在进行改革,目的是发展竞争力,增加包容性,创建大型银行,提高运营效率。本研究着眼于2012-2018年期间公共部门银行的效率,在规模回报不变的假设下使用数据包络分析。采用双输入双输出模型,根据Aparicio等(2007)提出的到强有效边界的最小距离来确定效率水平。为了捕捉不良资产(NPAs)的影响,效率在受限模型(不包括不良资产)和无限制模型(将不良资产视为不良产出)下计算。研究发现,与同行和整个行业相比,大多数银行的表现一直很好。两种模型下的银行排名相关性在各年份均表现出较高且显著的价值。
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