Bank Mergers and Efficiency Gains: Stochastic Frontier Analysis of Public Sector Banks
Bank mergers have become a major strategy in India to strengthen the banking sector. The government merged several public sector banks between 2019 and 2021. Researchers now examine whether these mergers actually improved efficiency and performance.
Stochastic Frontier Analysis (SFA) serves as a powerful tool for this study. This method separates random errors from actual inefficiency. It helps measure how close each bank operates to its maximum possible efficiency level.
Analysts collect data on inputs and outputs of public sector banks before and after mergers. Key inputs include capital, labor, and deposits. Outputs cover advances, investments, and total income. They then apply the SFA model to estimate efficiency scores for each bank.
The results show mixed outcomes. Many merged banks achieved notable gains in cost efficiency and technical efficiency. They reduced operational costs and improved resource utilization. However, some banks experienced a temporary decline in efficiency during the integration period.
Larger banks after mergers generally performed better. They benefited from economies of scale and stronger risk management. Moreover, technology adoption became easier in bigger institutions. As a result, overall profitability and service quality improved in several cases.
This study highlights important policy lessons. Mergers work best when accompanied by proper integration planning and employee training. Without these steps, efficiency gains remain limited.
Researchers continue to monitor long-term effects using updated data. Stochastic Frontier Analysis provides reliable and consistent measurements compared to traditional methods. Therefore, policymakers and bank managers can use these findings to design better consolidation strategies in the future.
Bank mergers, when executed well, offer a promising path to create stronger and more efficient public sector banks in India.