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.

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.

Economic slowdown, NPA crisis and productivity behavior of Indian banks

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anju Goswami ◽  
Rachita Gulati
Keyword(s):  
Production Process ◽  
Global Financial Crisis ◽  
Banking Industry ◽  
Economic Stress ◽  
Productivity Index ◽  
Undesirable Output ◽  
Content Type ◽  
Tfp Growth ◽  
Robust Estimates ◽  
Indian Banks

PurposeThis paper aims to investigate the productivity behavior of Indian banks in the presence of non-performing assets (NPAs) over the period 1999 to 2017. The study examines whether Indian banks withstand the shocks of the global financial crisis (GFC) of 2007–2009 and sustain their total factor productivity (TFP) levels in the post-crisis economic turbulent period or not.Design/methodology/approachThe robust estimates of TFP and its components: efficiency change and technical change are obtained using the state-of-the-art and innovative sequential Malmquist-Luenberger productivity index (SMLPI) approach. The key advantages of this approach are that it explicitly allows the joint production of undesirable output (NPAs in our case) along with desirable inputs and outputs in the production process and precludes the possibility of spurious technical regress.FindingsThe empirical results of the study reveal that the Indian banking system has experienced a (−1) percent TFP regress, contributed solely by efficiency loss during the period under investigation. The GFC has slowed down the growth trajectory of TFP growth in the Indian banking industry. Among ownership groups, the effect of the GFC was pronounced on the public sector banks.Practical implicationsThe practical implication drawn from the study is that the Indian banks have not been able to successfully transmit the use of installed technology in a way to generate early warning signals and mitigate the risk of defaults so as to maximize their productivity gains in the banking industry.Originality/valueThis study is perhaps the first one to understand the productivity dynamics of the Indian banks in response to both endogenous (i.e. NPA crisis) and exogenous (i.e. global financial and economic stress) crises. Moreover, the authors obtain the robust estimates of TFP growth of Indian banks by explicitly accounting for NPAs as an undesirable output and equity as a quasi-fixed input in the bank production process.

Does corporate social responsibility affect dividend policy? Empirical evidence in the French context

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Olfa Ben Salah ◽  
Anis Ben Amar
Keyword(s):  
Corporate Social Responsibility ◽  
Panel Data ◽  
Social Responsibility ◽  
Dividend Policy ◽  
Least Squares Method ◽  
Positive Impact ◽  
Alternative Measure ◽  
Content Type ◽  
Corporate Social ◽  
The Impact

Purpose The purpose of this paper is to focus on the impact of corporate social responsibility (CSR) on dividend policy in the French context. In addition, the authors seek to determine if the individual components of CSR influence dividend policy. Design/methodology/approach This study uses panel data methodology for a sample of French non-financial firms between 2008 and 2018. Generalized least squares method is used to estimate the models. Findings Using panel data methodology for a sample of 825 observations for the period 2008–2018, this study finds a positive impact of CSR practices on dividend policy. The authors also find that individual components of CSR positively influence dividend policy. To check the robustness of the results, this study further runs a sensitivity tests, including an alternative measure of dividend policy, all of which confirm the findings. Practical implications This study has examined the impact of CSR on dividend policy in France and may have implications for regulatory, investors, analysts and academics. First, the involvement in CSR best practices encourages companies to pay more dividends to investors. Therefore, investors are more motivated to invest in socially responsible firms than socially irresponsible firms. Second, given the association of CSR with the quality of accounting information and financial markets, regulators should step up recommendations relating to the different societal dimensions of CSR. Originality/value While little previous work has focused on the causal link between CSR and dividend policy, this research is the first, to the authors’ knowledge, to have looked at the impact of CSR on dividend policy in France.

Exploring integrated reporting in the banking industry: the multiple capitals approach

2019 ◽  
Vol 20 (1) ◽  
pp. 165-188 ◽  
Author(s):  
Federica Doni ◽  
Mikkel Larsen ◽  
Silvio Bianchi Martini ◽  
Antonio Corvino
Keyword(s):  
Balanced Scorecard ◽  
Banking Industry ◽  
Natural Capital ◽  
Balance Sheet ◽  
Innovative Approach ◽  
Structured Interviews ◽  
Integrated Reporting ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Trade Offs

Purpose The purpose of this paper is to investigate the engagement with integrated reporting (IR) of the Development Bank of Singapore (DBS), as one of the banks that pioneered IR. Banking industry members face critical sector-specific issues regarding the use of capitals, especially the disclosure of relational and natural capital-related information, and reporting of the outcomes of capitals. This study examines an innovative approach to accounting for multiple capitals adopted by DBS during its journey toward IR. Design/methodology/approach This empirical research follows the case study method, using semi-structured interviews with DBS’s managers, and analyzing reports and other documentation. Findings The authors find that DBS re-conceptualizes, re-categorizes and measures multiple capitals as a form of non-financial value using the balance sheet approach to make visible the interactions and potential tensions (trade-offs) among capitals. Research limitations/implications Case studies are best used to understand a specific context, so the findings of this study cannot be generalized statistically. However, the study does provide insights into the banking industry that may be applicable to other organizations. Practical implications The categorization and reporting of multiple capitals using the balance sheet approach and the integration of the balanced scorecard are innovative operationalizations of the International <IR> Framework. Originality/value This study provides an innovative approach to the categorization and measurement of multiple capitals. It represents a step toward reducing the gap between research and practice on IR.

Market concentration, diversification and bank performance in China and India

2016 ◽  
Vol 42 (10) ◽  
pp. 980-998 ◽  
Author(s):  
Thanh Pham Thien Nguyen ◽  
Son Hong Nghiem
Keyword(s):  
Cost Efficiency ◽  
Market Concentration ◽  
Two Stage ◽  
Profit Efficiency ◽  
Data Set ◽  
Content Type ◽  
Bootstrap Procedure ◽  
Chinese Banks ◽  
Using Data ◽  
Indian Banks

Purpose The purpose of this paper is to examine the operational efficiency and effects of market concentration and diversification on the efficiency of Chinese and Indian banks in the 1997-2011 period. Design/methodology/approach This study employs the two-stage bootstrap procedure of Simar and Wilson (2007) to obtain valid inferences on the efficiency scores and the efficiency determinants. Findings Using data set for each country separately, the authors found that the bias-corrected cost efficiency displays an upward trend in Chinese and Indian banks. This trend is consistent with profit efficiency among Chinese banks, but the trend is unclear in Indian banks. Market concentration is negatively related to cost and profit efficiencies of Chinese banks. However, market concentration is positively associated with cost efficiency, but unrelated to profit efficiency of Indian banks. In Chinese banks, diversification of revenue, earning assets and non-lending earning assets are associated with increasing profit efficiency, but their effects to cost efficiency are not clear. In Indian banks, diversification of earning assets increases profit efficiency while there are cost efficiency losses from diversification of revenue and earning assets. Practical implications Bank regulators and supervisors in China should consider establishing policies to reduce market concentration and encourage diversification of revenue, earning assets and non-lending earning assets, while increasing concentration and diversification of earning assets should be encouraged in Indian banks. Originality/value To the best of the authors’ knowledge, this is the first study employing the double bootstrap procedure proposed by Simar and Wilson (2007) which can address the problem of the two-stage data envelopment analysis or SFA estimator in the efficiency literature on Chinese and Indian banks that efficiency scores obtained in the first stage are inter-dependent, and hence violating the basic assumption in regression analysis in the second stage.

Bank capital and liquidity creation: evidence of relation from India

2017 ◽  
Vol 11 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Muhammad Umar ◽  
Gang Sun ◽  
Muhammad Ansar Majeed
Keyword(s):  
Balance Sheet ◽  
Capital Requirements ◽  
Financial Fragility ◽  
Crowding Out ◽  
Bank Capital ◽  
Content Type ◽  
Crisis Period ◽  
Balance Sheet Liquidity ◽  
Indian Banks ◽  
The Impact

Purpose This study analyzes the impact of changes in bank capital on liquidity creation. More specifically, it tests “financial fragility – crowding out” and “risk absorption” hypotheses for Indian banks. Design/methodology/approach It uses the data of 136 listed and unlisted banks, ranging from the year 2000 to 2014. The analysis is based on panel data techniques. Findings There is negative relationship between narrow measure of bank liquidity creation and capital. Therefore, in the case of India, “financial fragility – crowding out” hypothesis holds for “cat nonfat” measure of liquidity creation. However, there is no relationship between “cat fat” measure of liquidity creation and capital, except for listed banks, and the banks in the pre-crisis period. In these two cases, “risk absorption” hypothesis holds. Furthermore, none of the hypotheses holds in the post-crisis period. Practical implications The higher capital requirements posed by the Basel III will result in lower on-balance-sheet liquidity creation, which may result in lower profitability for the banks. However, increase in capital does not affect off-balance-sheet liquidity creation, rather enhances it in case of listed banks. So, the managers may use risky off-balance-sheet liquidity creation to improve profitability. Therefore, the regulators must be vigilant to the off-balance-sheet activities of banks to avoid banking turmoil. Originality/value To the best of authors’ knowledge, this is the first study to explore which hypothesis regarding the relationship between bank capital and liquidity creation holds for Indian banks. It contributes to the existing literature by providing the empirical evidence that “financial fragility – crowding out” hypothesis holds for on-balance-sheet liquidity creation and “risk absorption” hypothesis holds for listed banks. It also points to the new direction that neither of the hypotheses holds in the post-crisis period in India.

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.

The effects of intangible assets on firm performance

2019 ◽  
Vol 34 (3/4) ◽  
pp. 148-168
Author(s):  
Jannatul Ferdaous ◽  
Mohammad Mizanur Rahman
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Intangible Assets ◽  
Balance Sheet ◽  
Poor Performance ◽  
Significant Rise ◽  
Annual Reports ◽  
Content Type ◽  
Track Record ◽  
Effect Estimation

Purpose Using the resource-based view and knowledge-based view as theoretical backdrop, the purpose of this paper is to explore the relationship between intangible assets and firm performance. Design/methodology/approach The firms’ audited annual reports were collected during the period of 2007–2017 from 49 listed manufacturing firms of four industries in DSE, Bangladesh. This inductive research uses panel data (fixed-effect) estimation technique for balanced panel data to measure, describe, and analyze the firm performance. Findings After controlling some specific variables, the results reveal mixed behavioral effects of intangible assets on firm performance. Even if intangible assets trigger a significant rise in the firms’ EPS (a measure of financial performance), the firms cannot maximize shareholders’ wealth due to their poor performance in the stock market of Bangladesh. Practical implications The proposed models could be important tools for managers to integrate intangible assets in their decision process. The proposed models could also be important tools for investors to select their portfolios that have a track record for continuous investment in intangible assets in an efficient and sustainable way. Originality/value Intangible assets are largely absent from the firms’ balance sheet. Consequently, previous empirical research works struggled to measure and quantify the effects of intangible assets on firm performance. The study fills that gap in the understanding of intangible assets’ nature, measurement method, and their effects on firm performance.

Cost efficiency analysis of scheduled commercial banks: empirical evidence from India

2018 ◽  
Vol 37 (7) ◽  
pp. 586-602
Author(s):  
Aparna Bhatia ◽  
Megha Mahendru
Keyword(s):  
Cost Efficiency ◽  
Commercial Banks ◽  
Banking Sector ◽  
Global Financial Crisis ◽  
Allocative Efficiency ◽  
Specific Reference ◽  
Tobit Regression ◽  
Content Type ◽  
Cost Inefficiency ◽  
Indian Banks

Purpose The purpose of this paper is to analyze and evaluate cost efficiency (CE) scores of Indian Scheduled Commercial Banks (SCBs) in India over a period of 22 years, i.e. 1991–1992 to 2012–2013. Design/methodology/approach Data envelopment analysis (DEA) – a non-parametric approach is used to calculate efficiency scores of banks. Further the efficiency scores are decomposed into technical and allocative efficiency. The differences in the efficiency scores across ownership as well as across reformatory and post-reformatory era are examined by applying Panel Tobit Regression. Findings The paper also identifies the reason for cost inefficiency among Indian banks. In addition, the nature of their return to scale of all SCBs has also been evaluated. The results of the paper depict that Indian SCBs have never achieved full CE score of 1 in any of the years of study. The dominant reason identified behind cost inefficiency is allocative inefficiency. Surprisingly, the results also highlight that SCBs exhibit higher CE scores in reformatory era as compared to the post-reformatory era. Originality/value With specific reference to India, even lesser literature is found on CE. Indian banking sector has witnessed many changes on account of liberalization, privatization and globalization (LPG). Before banks adapted to the new environment, the global financial crisis acted as a fuel to fire affecting the performance of banks. Thus, a reassessment over a longer period would help to know a wholistic view of the issue of cost inefficiency, which has always been a troubling factor for Indian banks.

CRM, service quality and organizational performance in the banking industry: a comparative study of conventional and Islamic banks

2020 ◽  
Vol 38 (5) ◽  
pp. 1081-1106 ◽  
Author(s):  
Hind Lebdaoui ◽  
Youssef Chetioui
Keyword(s):  
Service Quality ◽  
Organizational Performance ◽  
Customer Service ◽  
Structural Equation ◽  
Banking Industry ◽  
Positive Impact ◽  
Equation Modeling ◽  
Islamic Banks ◽  
Content Type ◽  
Conventional And Islamic Banks

PurposeThis paper aims to examine a model that uses customer service quality as an intervening mechanism in the relationship between customer relationship management (CRM) practices and organizational performance in two different banking structures: conventional and Islamic. The study focuses on organizational and technological practices of CRM, as both have been demonstrated to be critical to CRM success.Design/methodology/approachThe analysis is based on responses from 247 managers from conventional banks and 141 managers from Islamic banks operating in Morocco using a self-administered questionnaire. The partial least squares structural equation modeling (PLS-SEM) technique is employed for data analysis.FindingsFindings demonstrate that customer service quality plays a mediating role between CRM practices (organizational and technological) and organizational performance in both conventional and Islamic banks. Our results confirm the positive impact of CRM practices on organizational performance in the two banking structures.Practical implicationsThis study enhances our understanding of how CRM practices contribute to improving customer service quality and organizational performance in both conventional and Islamic banks. Bank managers, who aim to deliver superior service quality and achieve customer satisfaction and retention, should capitalize on the benefits of implementing CRM organizational and technological practices.Originality/valueThe present paper bridges a gap pertaining to key practices and factors that impact CRM success in the banking industry. It is the first of its kind to investigate the effect of CRM practices on organizational performance with customer service quality as a mediating variable. The study also contributes to the field of CRM literature, as CRM has rarely been addressed in an Islamic banking context.

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