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Dynamics of intellectual capitals and bank efficiency in India

机译:印度智力资本的动态和银行效率

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This article attempts to examine the impact of intellectual capitals and its sub-components on the bank's efficiency parameters for 38 listed Indian banks within multivariate panel data framework during the period from 2004-2005 to 2015-2016. The study uses the non-parametric Data Envelopment Analysis approach to estimate technical, pure technical and scale efficiency in the first stage, followed by computing Value Added Intellectual Capital and Modified Value Added Intellectual Capital as an indicator for intellectual capital performance. Finally, Tobit regression results suggest that intellectual capitals have statistically significant and positive but very low impact on all the three efficiency scores. At the sub-component level, only human capital efficiency has a significant impact with low value on the all three efficiency measures. Bank size and leverage are also found to be significant drivers of bank efficiency as well. Thus, the study's findings support higher investment in intellectual capitals in order to further improve the banking efficiency and value creation in India by adopting appropriate policy by management for proper input allocations, particularly human capital and capital employed in coming years.
机译:本文试图研究多元面板数据框架下的38家印度上市银行在2004-2005年至2015-2016年期间,智力资本及其子组成部分对银行效率参数的影响。该研究在第一阶段使用非参数数据包络分析方法来估算技术,纯技术和规模效率,然后计算增值智力资本和修正增值智力资本作为智力资本绩效的指标。最后,Tobit回归结果表明,智力资本对这三个效率得分具有统计学意义和积极意义,但影响很小。在子部门层面上,只有人力资本效率对这三个效率指标产生重大影响,而价值却很低。银行的规模和杠杆也被认为是银行效率的重要驱动力。因此,该研究结果支持对智力资本的更高投资,以便通过管理层采取适当的政策来进行适当的投入分配,特别是人力资本和未来几年使用的资本,从而进一步提高印度的银行效率和价值创造。

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