Post-M&A Efficiency in Indian Banking Sector: Insights From Data Envelopment Analysis
Anukampa Das
Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India
Search for more papers by this authorCorresponding Author
Nirakar Barik
Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India
Correspondence:
Nirakar Barik ([email protected])
Search for more papers by this authorMalabika Deo
Department of Commerce, School of Management, Pondicherry University, Pondicherry, India
Search for more papers by this authorV. Lourden Selvamani
Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India
Search for more papers by this authorAnukampa Das
Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India
Search for more papers by this authorCorresponding Author
Nirakar Barik
Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India
Correspondence:
Nirakar Barik ([email protected])
Search for more papers by this authorMalabika Deo
Department of Commerce, School of Management, Pondicherry University, Pondicherry, India
Search for more papers by this authorV. Lourden Selvamani
Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India
Search for more papers by this authorFunding: The authors received no specific funding for this work.
ABSTRACT
Merger and Acquisition (M&A) in the Indian banking sector are driven by a combination of strategic, economic, and technological factors aimed at transforming the landscape of financial services. Hence, it becomes important to check the impact of M&A on the performance of banks in terms of efficiency improvements which are largely unchecked. This study examines the impact of mergers on the overall technical efficiency (OTE) of the Indian banking sector, utilizing a two-stage Data Envelopment Analysis (DEA) approach for analysis. The findings reveal that private-sector banks experience more significant efficiency improvements than public-sector banks. Interestingly, the Federal Bank and HDFC Bank emerge as highly robust institutions based on discriminant analysis. Logistic regression results show asset quality significantly boosts OTE for public sector banks, while bank size drives efficiency in private sector banks. These insights contribute to the literature on M&As and the banking efficiency of India's evolving banking landscape.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
The data that support the findings of this study are available in RBI at https://www.rbi.org.in/commonperson/english/scripts/FAQs.aspx?Id=1167. These data were derived from the following resources available in the public domain: RBI, https://www.rbi.org.in/commonperson/english/scripts/FAQs.aspx?Id=1167.
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