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首页> 外文期刊>European Journal of Business and Management >Measuring Technical Efficiency of Indian Banking Sector in Post Subprime Crises Scenario: A Non Parametric Frontier Based Approach
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Measuring Technical Efficiency of Indian Banking Sector in Post Subprime Crises Scenario: A Non Parametric Frontier Based Approach

机译：在次贷危机后的情景中衡量印度银行业的技术效率：一种基于非参数边界的方法

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摘要

This study gives a comparative analysis of the technical efficiency of top Indian banks during 2007-2011. This period is characterized by far reaching experience of sub-prime crisis (2008-2009) and its impact on Indian banking sector. Efficiency assessment of Indian banking sector has become highly imperative now a days because of intense competition, changing reforms, and instability in banking environment. This study uses Data Envelopment Analysis (DEA), a non parametric linear programming based technique, for evaluating the relative efficiency of top public, private and foreign banks in India. The present paper, based on empirical analysis, shows that the levels of input and output variables in efficiency measurement have changed significantly during this period and banks have improved their relative efficiency score over the period of time. Results support the fact that after sub-prime crisis, Advances (A) and Investments (I) are getting importance as output variables, while Operating Costs (OC), Fixed Assets (FA) and Capital (C) are considered as important input variables. This study also recommends that Data Envelopment Analysis (DEA) could be a suitable tool for measuring relative efficiency score of Indian banking sector.
机译：这项研究对2007-2011年间印度顶级银行的技术效率进行了比较分析。这一时期的特征是次贷危机（2008-2009年）的深远影响及其对印度银行业的影响。由于激烈的竞争，不断变化的改革以及银行环境的不稳定，印度银行业的效率评估如今已成为当务之急。本研究使用数据包络分析（DEA）（一种基于非参数线性规划的技术）来评估印度顶级公共，私人和外资银行的相对效率。本文基于经验分析表明，在此期间，效率测量中的输入和输出变量水平发生了显着变化，并且银行在一段时间内提高了其相对效率得分。结果支持以下事实：次贷危机发生后，预付款（A）和投资（I）作为输出变量变得越来越重要，而运营成本（OC），固定资产（FA）和资本（C）被视为重要的输入变量。这项研究还建议，数据包络分析（DEA）可能是衡量印度银行业相对效率得分的合适工具。

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