The purpose of this paper is to estimate the economic (namely cost, revenue and profit) efficiency and its association with intellectual capital of 37 BSE-listed Indian banks over the period 2005–2018.,This study employs truncated Tobit regression to compute the relationship between intellectual capital and estimated cost, revenue and profit efficiency using Data Envelopment Analysis (DEA) for the 37 BSE-listed Indian banks within the panel data framework.,Estimates suggest that banks’ overall annual average cost, revenue and profit efficiency are 0.4466–0.7519, 0.4825–0.8773 and 0.4905–0.8803, respectively, during the sample period. Further, Tobit regression results indicate that the aggregate intellectual capital (value-added intellectual coefficient or Modified Value-added Intellectual Capital) has a positive but minimal impact on these efficiency parameters at 1 percent significance level for the overall sample as well as public sector banks. Among all the sub-components of intellectual capital, human capital, structural capital and relational capital have a positive and moderate impact on these efficiency measures for the overall sample. Control variables, particularly bank size, are significant drivers of the estimated efficiency of banks.,Findings suggest that banks should invest adequately to enhance their overall intellectual capital to further augment these economic efficiency measures in the long run.,This study computes cost, revenue and profit efficiency of 37 BSE-listed banks based on DEA followed by intellectual capital using the Pulic approach (1998 and 2000) and the Bontis (1998) approach in the first stage. Later, it examines the dynamics between the computed efficiency parameters and intellectual capital using Tobit regression within the panel data framework.

中文翻译：

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印度银行的成本，收入和利润效率特征以及智力资本

本文旨在评估2005-2018年间37家在BSE上市的印度银行的经济（即成本，收入和利润）效率及其与智力资本的关联。本研究采用截断的Tobit回归来计算这种关系面板数据框架内，使用数据包络分析（DEA）对37家在BSE上市的印度银行的智力资本与估计成本，收入和利润效率之间的关系。估计值表明，银行的整体年度平均成本，收入和利润效率为0.4466–抽样期间分别为0.7519、0.4825-0.8773和0.4905-0.8803。进一步，Tobit回归结果表明，总的智力资本（增值智力系数或修正后的增值智力资本）对这些效率参数具有积极但最小的影响，对于总体样本和公共部门银行而言，其显着性水平为1％。在智力资本的所有子组成部分中，人力资本，结构资本和关系资本对总体样本的这些效率衡量产生积极而适度的影响。控制变量，特别是银行规模，是银行估计效率的重要驱动因素。研究发现，从长远来看，银行应进行充分的投资以增强其整体智力资本，以进一步增强这些经济效率指标。第一阶段采用DEA的37家在BSE上市的银行的收入和利润效率，然后是采用Pulic方法（1998和2000）和Bontis（1998）方法的智力资本。后来，它使用面板数据框架内的Tobit回归检验了计算出的效率参数和智力资本之间的动态关系。