Cost, revenue, and profit efficiency characteristics, and intellectual capital in Indian Banks

2019 ◽  
Vol 21 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Harishankar Vidyarthi ◽  
Ranjit Tiwari
Keyword(s):  
Panel Data ◽  
Intellectual Capital ◽  
Value Added ◽  
Tobit Regression ◽  
Profit Efficiency ◽  
Content Type ◽  
Significance Level ◽  
Data Framework ◽  
Efficiency Measures ◽  
Indian Banks

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.

Dynamics of income diversification and bank performance in India

2019 ◽  
Vol 12 (3) ◽  
pp. 383-407
Author(s):  
Harishankar Vidyarthi
Keyword(s):  
Panel Data ◽  
Performance Indicator ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Bank Performance ◽  
Tobit Regression ◽  
Income Diversification ◽  
Content Type ◽  
Data Framework ◽  
Indian Banks

Purpose The purpose of this paper is to examine the dynamics between income diversification and performance (cost, profit, revenue, technical, pure technical and scale efficiency) for 38 listed Indian banks within panel data framework during the period 2004-2005 to 2015-16. Design/methodology/approach This study computes bank’s cost, profit, revenue, technical, pure technical and scale efficiency within intermediation approach with data envelopment analysis (DEA) as a performance indicator, followed by exploring the association between income diversification and bank performance using truncated Tobit regression within panel data framework. Findings Tobit regression results revealed inverted U-shaped relationship between the income diversification and estimated efficiency parameters for the overall panel. Size and bank intermediation ratio seems to be a major factor in exploiting the potential benefits of income diversification. The author reconfirmed the inverted U-shaped relationship with these efficiency parameters for exclusive subsamples consisting of government-owned and private sector banks. Research limitations/implications Inverted U-shaped relationship between the income diversification and estimated efficiency parameters suggest that banks should go for limited diversification to improve performance. Thus, regulators and banks should pursue limited diversification strategy for improving banking efficiency. Originality/value This study computes bank performance (cost, profit, revenue, technical, pure technical and scale efficiency) based on DEA followed by exploring the association between performance and income diversification for 38 Bombay stock exchange listed banks.

Trends of cost efficiency in response to financial deregulation

2015 ◽  
Vol 22 (5) ◽  
pp. 808-838 ◽  
Author(s):  
Rachita Gulati
Keyword(s):  
Panel Data ◽  
Cost Efficiency ◽  
Banking Industry ◽  
Positive Impact ◽  
Balance Sheet ◽  
Content Type ◽  
Financial Deregulation ◽  
Efficiency Measures ◽  
Dea Models ◽  
Indian Banks

Purpose – The purpose of this paper is to examine the trends of cost efficiency (CE) of Indian banks in response to financial deregulation programme launched in early 1990s. More specifically, the findings of this paper offer empirical testing of the basic underlined hypothesis that the CE of banks will rise in the more liberal and competitive environment. Design/methodology/approach – The study employs input-oriented data envelopment analysis (DEA) models that incorporate the quasi-fixed inputs to compute the cost, technical, and allocative efficiency scores for individual banks. The unbalanced panel data spanning from the financial year 1992-1993 to 2007-2008 are used for obtaining efficiency measures. In addition, the panel data Tobit model has been applied to investigate the bank-specific factors explaining variations in the CE. Findings – The empirical findings pertaining to the trends of efficiency measures suggest that: first, deregulation programme has had a positive impact on the CE of Indian banks, and the observed increase in CE is entirely due to improvements in technical efficiency (TE); second, the ranking of ownership groups provides that public sector banks are more cost efficient along with the foreign than private banks; and third, there is a strong presence of global advantage hypothesis in the Indian banking industry. The results of post-DEA analysis reveal that size and exposure to off-balance sheet activities are the key determinants of CE. The results also support the existence of bad luck or bad management hypothesis in Indian banking industry. Practical implications – The practical implication of the research findings is that the financial deregulation programme seems to be successful in achieving the CE gains in the Indian banking industry. This explicitly signals that the cautious approach of banking reforms adopted by Indian policy makers has started bearing fruit in terms of the creation of an efficient banking system, which is immune to any sort of financial crisis, and resilient to both internal and external shocks. Originality/value – The present study offers new evidence on the time-series properties of cost, allocative, and TEs of Indian banks. The DEA models used in this study explicitly incorporate the equity as a quasi-fixed input, which accounts for “risk” in the bank efficiency measurement.

Value-added intellectual capital and financial performance: evidence from Mauritian companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reena Bhattu-Babajee ◽  
Boopen Seetanah
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Positive Impact ◽  
Value Added ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Content Type ◽  
Data Framework ◽  
Long Run ◽  
The Impact

PurposeThe purpose of this paper is to empirically assess the impact of value-added intellectual capital (VAIC) on the financial performance (FP) of companies in Mauritius.Design/methodology/approachThe research uses a dynamic panel vector error correction model (PVECM) which simultaneously allows for endogeneity and causality issues among the variables used.FindingsThe results show that VAIC enhances corporate FP, with a reported lower effect in the short run as compared to the long run. Other important determinants of firm’s performance are asset turnover, capital turnover and firm’s size. Leverage, on the other hand, is observed to be performance reducing in nature. FP of the companies is also a significant determinant of VAIC, implying reverse causal effects exist between the two variables of interest, namely, VAIC and FP.Research limitations/implicationsThe study can be enhanced by doing an industry-specific comparison of the impact of VAIC on FP for more insights.Practical implicationsIt is recommended that managers pay more attention to the role of firms’ stock of tangible and intangible assets, as this has a positive impact on firms’ FP. Also, the results may help to increase awareness of the importance of effective intellectual capital (IC) management within an organization. More so, as demonstrated by Ståhle et al. (2011), VAIC indicates the efficiency of the company’s labor and capital investments within firms in Mauritius. This study may, therefore, enable Mauritian firms to measure their IC efficiency and develop policies to promote and improve upon their intellectual potential to enhance firm’s performance.Originality/valueThe main theoretical contribution of this paper relates to the assessment and conceptualization of the bi-directional relationship between VAIC and FP. It confirmed that there are self-reinforcing feedback effects between VAIC and FP. Methodologically speaking, this paper investigates the VAIC–FP nexus in a dynamic setting using a dynamic panel data framework, namely, a PVECM which also allows for additional insights into the short- and long-run effects.

Exploring the effect of intellectual capital on financial performance: a study of Indian banks

2020 ◽  
Vol 24 (4) ◽  
pp. 511-529 ◽  
Author(s):  
Faizi Weqar ◽  
Ahmed Musa Khan ◽  
Syed Mohammed Imamul Haque
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Value Added ◽  
Physical Capital ◽  
Foreign Banks ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Nationalised Banks ◽  
Indian Banks

Purpose The purpose of this paper is to inspect the effect of intellectual capital (IC) on the financial performance (FP) of Indian banks. Design/methodology/approach The study uses the data of 58 Indian banks, namely, 20 nationalised banks, 17 private Indian banks and 21 private foreign banks, for the period between 2009 and 2018. A modified value-added intellectual coefficient methodology was used for measuring the efficiency of the IC. Findings The efficiency of IC significantly enhances the profitability and productivity of the Indian banks. Overall, human capital is the most substantial component of IC in augmenting the profitability and productivity of the Indian banking industry. Structural capital and physical capital are vital only for improving profitability while the contribution of relational capital towards the banks’ FP is nominal. The result also shows that amongst the three categories of Indian banks, private foreign banks are most efficient in leveraging their IC. Research limitations/implications The study results are only restricted to Indian banks and the data of only 58 banks are used for drawing the inferences. Originality/value The paper fills the void in the existing literature of IC and corporate FP by using the data set of Indian banks divided into the public sector, private Indian and private foreign banks.

Measuring intellectual capital performance of Indian banks

2016 ◽  
Vol 42 (7) ◽  
pp. 635-655 ◽  
Author(s):  
Sukhdev Singh ◽  
Jasvinder Sidhu ◽  
Mahesh Joshi ◽  
Monika Kansal
Keyword(s):  
Private Sector ◽  
Intellectual Capital ◽  
Banking Sector ◽  
Value Added ◽  
Secondary Data ◽  
Equity Capital ◽  
Public And Private ◽  
Content Type ◽  
Indian Banks ◽  
Public And Private Sector

Purpose – The purpose of this paper is to measure the intellectual capital performance of Indian banks and established a relationship between intellectual capital and return on assets (ROA). The paper also compared the intellectual capital performance of public sector and private sector banks. Design/methodology/approach – This study is based on secondary data from the top 20 Indian banks. Ten banks were selected from each of the public and private sectors on the basis of paid-up equity capital. The analysis was made using the value added intellectual coefficient, the coefficient of variation, exponential growth rates, trend analysis, Yule’s coefficient, the coefficient of correlation, the F-test and the t-test. Findings – The study revealed that private sectors have performed relatively better regarding the creation of total information coefficient (IC). However, the ROA was still below the international benchmark of > 1 percent. The major cause of the lower IC and the reduced ROA is disproportionate to the increase in capital employed and escalating non-performing assets in the Indian banking sector. Practical implications – The study focussed on managers and identified the causes of lower performance. It proposed numerous strategies to improve the aggregate score of IC, which is closely related to bank profitability. Originality/value – This is the first study to make a comparative analysis of intellectual capital performance in public and private sector banks in India and in addition to the traditional style of measuring sectoral performance. Further, the study employed new statistical tools, such as Yule’s coefficient of association, to establish the association between performance variables.

The intellectual capital performance of the Indian banking sector

2007 ◽  
Vol 8 (1) ◽  
pp. 96-123 ◽  
Author(s):  
G. Barathi Kamath
Keyword(s):  
Intellectual Capital ◽  
Banking Sector ◽  
Measurement Techniques ◽  
Balance Sheet ◽  
Value Added ◽  
Policy Implications ◽  
Specific Reference ◽  
Content Type ◽  
Domestic Banks ◽  
Indian Banks

PurposeThe paper seeks to estimate and analyze the Value Added Intellectual Coefficient (VAIC™) for measuring the value‐based performance of the Indian banking sector for a period of five years from 2000 to 2004.Design/methodology/approachAnnual reports, especially the profit/loss account and balance‐sheet of the banks concerned for the relevant years, were used to obtain the data. A review is conducted of the international literature on intellectual capital with specific reference to literature that reviews measurement techniques and tools, and the VAIC™ method is applied in order to analyze the data of Indian banks for the five‐year period. The intellectual or human capital (HC) and physical capital (CA) of the Indian banking sector is analysed and their impact on the banks' value‐based performance is discussed.FindingsThe study confirms the existence of vast differences in the performance of Indian banks in different segments, and there is also an improvement in the overall performance over the study period. There is an evident bias in favour of the performance of foreign banks compared with domestic banks.Research limitations/implicationsAll 98 scheduled commercial banks are studied as per the information provided by the Reserve Bank of India (RBI)/India's Apex bank. Regional rural banks (RRBs), a segment of the indian banking sector, are not dealt with in the study since their number is large (more than 200), but they contribute only 3 percent of the market of Indian banks. This paper is a landmark in Indian banking history as it approaches performance measurement with a new dimension.Practical implicationsThe paper has strong theoretical foundations, which have a proven record and applications. The methodology adopted has been research tested. Domestic banks in India are provided with a new dimension to understand and evaluate their performance and benchmark it with global standards. The paper also has policy implications, as it reflects the lop‐sided growth of a few sections in the Indian banking segment.Originality/valueThe paper represents a pioneering and seminal attempt to understand the implications of the business performance of the Indian banking sector from an intellectual resource perspective.

The impact of intellectual capital on firm performance: a study of Indian firms listed in COSPI

2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Value Creation ◽  
Generalized Method Of Moments ◽  
Value Added ◽  
Secondary Data ◽  
Share Price ◽  
Content Type ◽  
Listed Firms ◽  
The Impact

Purpose The purpose of this paper is to examine the effect of intellectual capital (IC) on financial performance (FP) for Indian companies listed on the Centre for Monitoring Indian Economy Overall Share Price Index (COSPI). Design/methodology/approach Hypotheses were developed according to theories and literature review. Secondary data were collected from Indian companies listed on the COSPI between 2001 and 2016, and the value-added intellectual coefficient (VAIC) of Pulic (2000) was used to measure IC and its components. A dynamic system generalized method of moments (SGMM) estimator was employed to identify the variables that significantly contribute to firm performance. Findings Indian listed firms appear to be performing well and efficiently utilizing their IC. Overall, human capital had a major impact on firm productivity during the study period. Furthermore, the empirical analysis showed that structural capital efficiency and capital employed efficiency were equally important contributors to firm’s sales growth and market value. The growing importance of the contribution of IC to value creation was consistently reflected in the FP of these Indian companies. Practical implications This study has robust theoretical grounds and employs a validated methodology. The present study extends knowledge of IC among academicians and managers and highlights its contribution to value creation. The findings may help stakeholders and policymakers in developing countries properly reallocate intellectual resources. Originality/value This study is the first study to evaluate IC and its relationship with traditional measures of firm performance among Indian listed firms using dynamic SGMM and VAIC models.

Intellectual capital: a determinant of firms' operational efficiency

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kanishka Gupta ◽  
T.V. Raman
Keyword(s):  
Intellectual Capital ◽  
Stochastic Frontier Analysis ◽  
Stock Exchange ◽  
Stochastic Frontier ◽  
Value Added ◽  
Financial Sector ◽  
Operational Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
The Impact

PurposeIntellectual capital (IC) has been recognized in improving the efficiency of businesses and gaining competitive edge in the developed world. The present study offers perspectives into the effect of IC on the efficiency of the Indian financial sector companies.Design/methodology/approachFor the purpose of evaluating efficiency, the research has used stochastic frontier analysis (SFA). All Indian financial sector companies listed in National Stock Exchange (NSE-500) for the timeframe of ten years (2008–2018) have been considered. The paper has employed modified Pulic's Value Added Intellectual Coefficient (VAICTM) as a proxy to measure IC. Correlation and panel data regression have been used in order to examine the relationship.FindingsThe results of the study indicate positive and significant relationship between IC and efficiency of the firm. The results also show that all the components of IC, that is, human capital, relational capital, process capital and capital employed have a significant impact on firms' efficiency. Additionally, it has been seen that sample companies do not invest in research and development leading to no innovation capital.Practical implicationsThe research will assist managers in managing and controlling the IC, investors in matters related to investment and financial experts in improving the company's IC and value creation.Originality/valueThe current research is one of the pioneering studies in the context of Indian financial sector that examines the impact of modified VAIC on operational efficiency calculated using SFA.

Intellectual capital and firm performance in emerging economies: the case of India

2016 ◽  
Vol 26 (3) ◽  
pp. 410-430 ◽  
Author(s):  
Santi Gopal Maji ◽  
Mitra Goswami
Keyword(s):  
Firm Performance ◽  
Intellectual Capital ◽  
Value Added ◽  
Relative Importance ◽  
Content Type ◽  
Knowledge Based ◽  
Traditional Sector ◽  
Steel Sector ◽  
Capital Efficiency ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of intellectual capital (IC) on Indian traditional sector and compare the relative importance of IC on corporate performance of Indian knowledge-based sector (engineering sector) and traditional sector (steel sector). Design/methodology/approach Secondary data on 100 listed Indian firms, comprising of 44 firms from the engineering sector and 56 from the steel sector, are collected from “Capitaline Plus” Corporate database for a period of 14 years from 1999-2000 to 2012-2013. IC and its components are computed using Pulic’s value-added intellectual coefficient model and firm performance is measured by return on asset. Fixed effect regression model is used to investigate the hypothetical relationship between IC and firm performance. Further, quantile regression is used to check the robustness of the results. Findings The results indicate that IC efficiency and physical capital efficiency are positively and significantly associated with the firm performance for both the sectors. Regarding the components of IC, the coefficient of human capital efficiency is positive and significant, but the present effort fails to disentangle any significant influence of structural capital efficiency on firm performance. However, the results indicate that the influence of IC efficiency on firm performance is significantly greater in case of knowledge-based sector than that of traditional sector. Practical implications The findings of the study are useful for the decision makers, as the results indicate that the IC plays crucial role in value creation not only for knowledge-based firms but also for the firms belonging to the traditional manufacturing sector. Originality/value In the Indian context, this is the first study to examine the relative importance of IC in a knowledge-based sector and a traditional sector using appropriate methodology.

The intellectual capital needs of a transitioning economy

2015 ◽  
Vol 16 (3) ◽  
pp. 466-489 ◽  
Author(s):  
Allan O'Connor ◽  
Kai Du ◽  
Göran Roos
Keyword(s):  
Strategic Management ◽  
Intellectual Capital ◽  
Value Chain ◽  
Value Added ◽  
Intangible Asset ◽  
Firm Level ◽  
Content Type ◽  
Economic Productivity ◽  
Industrial Sectors ◽  
Industry Sectors

Purpose – Developed economies with high-cost environments face industrial transitions from scale-based manufacturing (MAN) to knowledge, technology and intangible asset-based sectors. The purpose of this paper is to examine the changes in employment and value-adding profiles of transitioning industry sectors in Australia and discuss the implications for policy that influences the intellectual capital (IC) profile of industrial sectors in transition. Design/methodology/approach – The approach borrowed concepts from the firm-level strategic management literature and applied them to a macro level of industry analysis. In this paper the authors examine the transitions in the Australian economy which, due to a rising cost base, is experiencing a decline in its value chain-oriented MAN sector. The authors contrast four industry sectors with the MAN sector and examine the different value creation models. Findings – The findings clearly show how the contribution to employment and value added (termed Economic Value Contribution ) of the different sectors vary. The authors extend these findings to a discussion on policy and the dimensions of IC that may have a role to play in facilitating transitions within an economy. The main conclusion is that a more rapid transition and higher value may be created if innovation and entrepreneurship are facilitated by targeted policies in transitioning sector. Research limitations/implications – This work is based on a single country analysis of selected industry sectors. Further work needs to be done across many more countries to contrast the findings across nations/regions that differ in industrial complexity and to refine the analytical framework to improve construct validity and increase analytical power. Practical implications – This work has implications for policy-makers facing the challenges of a transitioning economy, whether national or regional. Governments that are hands-on with respect to interventions to salvage and/or extend the life of sectors are at risk of missing opportunities to build the capacities and capabilities of emerging sectors while those governments that are hands-off, deferring to market mechanisms, risk transitions that are too little and/or too late to maintain a national or regional competitiveness. Originality/value – To the authors knowledge, this is the first attempt to integrate the specific firm-level strategic management perspectives, used in this paper, with the macro-policy level to examine industry sectors with the twin metrics of economic productivity and employment in transitioning economies.

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