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Productivity and profitability of public sector banks in India: a multi-component DEA approach

机译:印度公共部门银行的生产力和盈利能力:多组分DEA方法

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The banking sector in India underwent a liberalisation and globalisation process in 1990s, which led to reforms in banking sector, changes in their structure and beginning of competitive environment. For survival, each bank is forced to inspect its performance and to identify improvement measures to gain further competitive advantages. For valid performance evaluation of banks, we employ a multi-component data envelopment analysis (DEA) approach. This paper seeks to measure the multi-component performance analysis of public sector banks (PuSBs) in India for the period 2008-2013. Each bank consists of two components: productivity and profitability. The empirical results show that major inefficiency lies in the productivity phase as compared to profitability phase. Sensitivity analysis validates the use of multi-component DEA instead of DEA. The findings of the study are quite useful for policy makers to identify PuSBs' efficiency, weakness and directions for improvement in either productivity phase or profitability phase or both.
机译:印度的银行业在20世纪90年代进行了自由化和全球化进程,导致银行业改革,其结构和竞争环境的开始。为了生存,每个银行都被迫检查其绩效并确定提高竞争优势的改进措施。对于银行的有效绩效评估,我们采用多组分数据包络分析(DEA)方法。本文旨在衡量2008 - 2013年期间在印度公共部门银行(PUSB)的多分量绩效分析。每个银行都包括两个组成部分:生产力和盈利能力。实证结果表明,与盈利阶段相比,主要效率低下位于生产率阶段。敏感性分析验证了多组分DEA而不是DEA的使用。该研究的调查结果非常有用,对决策者来说,识别PUSBS的效率,弱点和方向,以改善生产力阶段或盈利阶段或两者。

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