Depositor Discipline in the Banking Sector in India: An Empirical Investigation

Journal of Quantitative Economics - The paper traces the determinants of depositor discipline in Indian banking. Using annual data on commercial banks covering the period 1996 to 2003, the findings...     

Productivity and efficiency dynamics in Indian banking: An input distance function approach incorporating quality of inputs and outputs

Banking technology is typically characterized by multiple inputs and multiple outputs that are associated with various attributes, such as different types of deposits, loans, number of accounts, classes of employees and location of branches. These quality differentials in inputs and outputs are mostly ignored in empirical studies. These omissions make the practical value of productivity studies in organizations like banks questionable because quality is a key component of performance. This paper proposes using hedonic aggregator functions (as a tool of aggregating inputs and outputs with quality attributes) within an input distance function framework and analyzes the impact of banking deregulation on efficiency and total factor productivity (TFP) change in the Indian banking industry using panel data for the period 1996–2005. Empirical results indicate that banks have improved their efficiency (from 61% in 1996 to 72% in 2005) during the post‐deregulation period, and the gain in efficiency of state‐owned banks has surpassed that of private banks. Improvement in capital base, as indicated by increased capital adequacy ratio, played an important role in ushering efficiency gain. The return to scale estimate suggests that state‐owned banks are operating far above their efficient scale and cost savings can be obtained by reducing their size of operations. Overall, TFP growth was above 3.5% annually. Both technical progress and technical efficiency change consistently played an important role in shaping TFP growth. Copyright © 2010 John Wiley & Sons, Ltd.     

Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period

The paper investigates the performance of Indian commercial banking sector during the post reform period 1992-2002. Several efficiency estimates of individual banks are evaluated using nonparametric Data Envelopment Analysis (DEA). Three different approaches viz., intermediation approach, value-added approach and operating approach have been employed to differentiate how efficiency scores vary with changes in inputs and outputs. The analysis links the variation in calculated efficiencies to a set of variables, i.e., bank size, ownership, capital adequacy ratio, non-performing loans and management quality. The findings suggest that medium-sized public sector banks performed reasonably well and are more likely to operate at higher levels of technical efficiency. A close relationship is observed between efficiency and soundness as determined by bank's capital adequacy ratio. The empirical results also show that technically more efficient banks are those that have, on an average, less non-performing loans. A multivariate analysis based on the Tobit model reinforces these findings.     

An Application of Quah and Vahey’s SVAR Methodology for Estimating Core Inflation in India: A Note

Inflation, calculated as year-on-year per cent change in general price level, represents a combined effect of several types of price changes. The monetary authorities primarily focus to track that part of inflation, which can be effectively monitored and controlled using various monetary instruments. This persistent component of inflation is termed as ‘Core Inflation’, which possesses long-run properties as well as predictive power to forecast inflation. This paper makes use of Quah and Vahey’s definition of core inflation as that component of headline inflation, which has no impact on output in medium to long run and estimates it by placing restrictions on vector auto regression system with inflation and output growth. The analysis is based on monthly data from April 1995 to January 2009. Empirical results showed that in India, during 2006 and 2007, the inflation process was stronger than what headline inflation figures actually depicted and in 2008 the inflationary process has tended to be somewhat weaker than what was observed in headline inflation.

     

Size,Non-Performing Loan,Capital and Productivity Change: Evidence From Indian State-Owned Banks

While the relationship between portfolio risk and capital and its interrelationship with operating efficiency has been extensively studied, little work has been forthcoming on the interrelationships among credit risk, capital and productivity change. The paper makes an attempt to examine the same in the Indian context. Using data on state-owned banks (SOBs) for the period 1995–96 through 2000–2001, the paper finds capital, risk and productivity change to be intertwined, with each reinforcing and to a degree, complementing the other. The results imply that inadequately capitalized banks have lower productivity and are subject to a higher degree of regulatory pressure than adequately capitalized ones. Finally, the results lend support, especially for medium-sized banks, to the belief that lowering Government ownership tends to improve productivity.

     

Financial deregulation and profit efficiency: A nonparametric analysis of Indian banks

The paper examines the impact of financial deregulation on cost and profit efficiency of Indian commercial banks during the post-reform period 1992–2004 using the nonparametric data envelopment analysis (DEA). The results indicate high levels of cost efficiency and lower levels of profit efficiency, reflecting the importance of inefficiencies on the revenue side of banking activity. The decomposition of profit efficiency suggests that a large portion of outlay lost is due to allocative inefficiency. A multivariate regression of the proximate causes of profit efficiencies highlights the importance of bank size, ownership, product diversity and prudential indicators as important variables driving these efficiency differences.