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Contents
1. INRODUCTION 3 2. Methodology 4 2.1 General Approach: 4 2.2 Data Collection: 4 2.3 Data Processing: 5 2.3.1 Nature of Banks: 5 2.3.2 Nature of Variables: 5 2.3.3 Assumptions in the treatment of Variables: 5 2.4 Data Analysis: 5 2.4.1 Objective of the Analysis 5 2.4.2 Production Function Relationship: 5 2.5 Limitation 8 3. Data analysis and Results 9 4. Conclusion 15 5. Bibliography 16
1. INRODUCTION
The structure of the banking industry has undergone sweeping changes in the past two decades. In response to heightened competition from non-bank financial firms enabled by technological progress among other factors, banks have been expanding both the scale and scope of their operations, largely through consolidations. This merger wave coincides with extensive deregulation, which has removed restrictions on product offerings and interstate banking. These changes have motivated many studies. The estimation of bank productivity and returns to scale is of particular interest because of its broad practical applications and important policy implications
The Banking Sector is characterized by multiple inputs and outputs that are associated with various attributes, such as different types of deposits, loans, number of accounts, classes of employees and location of branches. Transformation in terms of moving from high operating cost, low productivity and high spread to being more efficient, productive and competitive has been an important challenge for the banking sector in India.
Recent years have witnessed substantial research efforts that have been devoted to measuring the efficiency and productivity of the banking industry. However, assessment of performance of banks has been a problematic one because of the unresolved questions concerning inputs and outputs. In the absence of any coherent definitions, researchers have used a variety
Bibliography: * Microeconomics, 7th Edition. Robert S. Pindyck, Daniel L. Rubenfield, Prem L. Mehta. * http://en.wikipedia.org/wiki/Banking_in_India *