Volume 25, Issue 3 e70062
RESEARCH ARTICLE

Post-M&A Efficiency in Indian Banking Sector: Insights From Data Envelopment Analysis

Anukampa Das

Anukampa Das

Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India

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Nirakar Barik

Corresponding Author

Nirakar Barik

Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India

Correspondence:

Nirakar Barik ([email protected])

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Malabika Deo

Malabika Deo

Department of Commerce, School of Management, Pondicherry University, Pondicherry, India

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V. Lourden Selvamani

V. Lourden Selvamani

Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India

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First published: 21 July 2025

Funding: 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.

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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