mainly affected by the level of non-performing assets, market share, size of the bank, return on assets, and capital level … and publicly owned Indian banks. It uses the data envelopment analysis (DEA) following variable returns to scale, under … input and output orientation, for measuring efficiency. Further, the Tobit regression model is used in the second stage to …

marginally negative impact on bank efficiency. Working capital, priority sector lending, and term lending have been found to … using data envelopment analysis (DEA). The study considered four loan variables-term lending, working capital, priority … that there were no significant effects on the efficiency of old private banks, except for working capital, which had a …

The study applies two-stage data envelopment analysis (DEA) and bootstrap to estimate the Profit Efficiency (PE) and … its factors for Indian bank groups. Recognizing the heterogeneity in the bank sizes, we perform DEA to estimate PE for …, Herfindahl-Hirschman Index(HHI), and ownership structure are significant determinants of bank efficiency. The study contributes …

The study examines the efficiency of the Indian Commercial Banks in the backdrop of undesirable Non-Performing Assets …. The study applies Meta-Frontier approach for assessing the efficiency of banks in heterogeneous Indian banking groups … there is a significant difference in Meta efficiency scores and technological gap inefficiency scores of Foreign Banks …

NPAs into the measurement of bank efficiency to provide a holistic efficiency profile of the Indian banking sector. We … unintended high level of non-performing assets (NPAs). It uncovers the linkage between NPAs and banking efficiency by integrating … first stage, and the empirical results identify an efficiency gap of 16.2% due to NPAs in the Indian banking sector for the …

economy running. The purpose of this paper is to examine the efficiency of three bank groups in India with data spanning from … Friedman test reveals that there is no significant difference in efficiency scores amongst these three bank groups. As major …Purpose - Bank mobilizes savings and transforms it into credit for investments in various sectors, which helps the …

increasing the efficiency of banks. Due to the ownership, the public sector banks experienced more input losses as compared to …

these revolutions on the sector. Efficiency serves as one of the crucial indicator of the performance. The paper appraises … by taking into consideration various efficiency factors to determine the efficiency of 18 different private and public … Analysis model, a non-parametric technique to examine the efficiency score. Input oriented efficiency with constant return …

This study proposes to examine the technical efficiency of New and Old Private Sector Banks in India in recent years …. Many firms in the service industry face the problem of dissimilar results in terms of efficiency. In particular, the last … contributes, in an extensive way, to higher economic growth in any country. Hence studies of banking efficiency are important for …

Data Envelopment analysis (DEA) has been used to calculate the technical and scale efficiency measures of the public … and private steel firms of the Indian Steel Industry (2006 to 2010). Within DEA framework, the input & Output oriented … motivates us to initiate the study. It was found from the result that the Tata Steels Limited has showed high efficiency over a …