Purpose The purpose of this paper is to explore and explain the linkage between intellectual capital (IC) efficiency of banks and their performance. Design/methodology/approach In total, 39 public and private banks listed in Bombay Stock Exchange from 1999 to 2015 were considered for the study. Panel fixed effects technique is used to draw inferences. Findings Results of the study provide evidence of positive association between IC and performance of banks; however, only human capital and structural capital have shown instances of significant positive linkage with banks performance. The results also indicate that the IC efficiency of private sector banks is better than public sector banks in India. Practical implications This study may enable Indian banking firms to measure their IC efficiency and develop policies to promote and improve upon their intellectual potential to enhance banks performance. Originality/value It is a novel study in Indian context that considers interaction variables in extending the prior understanding of the role of IC in enhancing banks performance, which may build sustainable advantage for banks in emerging economies like India.

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Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications Findings suggest that banks should invest adequately to enhance their overall intellectual capital to further augment these economic efficiency measures in the long run. Originality/value 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.

Purpose – The purpose of this paper is to empirically examine the long run and causal relationship between energy consumption, carbon emissions and economic growth in India over the period 1971-2009 within multivariate framework. Design/methodology/approach – The study uses the Johansen cointegration test to examine the possible long-run equilibrium relationship followed by Granger causality test based on vector error correction model to explore short- and long-run causality between energy consumption, carbon emissions and economic growth in India. Findings – Cointegration result indicates the long-run equilibrium relationship between economic growth, energy consumption and carbon emissions. Further causality results suggest unidirectional causality running from energy consumption and carbon emissions to economic growth in long run, energy consumption to carbon emissions, carbon emissions to economic growth and economic growth to energy consumption in short run. Practical implications – There is urgent need of policy development toward boosting energy efficiency, developing alternative carbon-free energy sources like nuclear, renewables and expansion of affordable energy for faster, sustainable and more inclusive growth for India in upcoming years. Originality/value – India, an energy-dependent economy needs to effectively implement energy efficiency measures, super critical technologies in power plants, and investment in renewable energy resources in order to minimize the dependence on fossil fuels and carbon emissions for faster, more inclusive and sustainable growth.

Purpose – The purpose of this paper is to empirically examine the relationship between energy consumption, carbon emissions and economic growth for a panel of five South Asian economies namely India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period 1972-2009 within multivariate framework. Design/methodology/approach – The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in short run and long run between energy consumption, carbon emissions and economic growth in South Asia. Findings – Cointegration result indicates the long-run equilibrium relationship between economic growth, energy consumption and carbon emissions for panel. Causality results suggest that bidirectional causality exist between energy consumption-GDP, and unidirectional causality from carbon emissions to GDP and energy consumption in long run. However, energy consumption causes carbon emissions in short run. Practical implications – Implementing energy efficiency measures and reducing dependence on fossils fuels by scaling up carbon free energy resources like nuclear, renewables including hydropower in energy mix is necessary for sustainable and inclusive growth in the region. Originality/value – South Asia economies need to sacrifice economic growth for reducing the carbon emissions in long run if the region dependence on fossils fuels including coal, oil and natural gas in energy mix continues at same pace.