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Population groups and banks: a comparative study on the survival analysis of Indian commercial banks

Sakshi Khanna (University College of Business Studies, Himachal Pradesh University, Shimla, India)
Manoj Gaur (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)

Management Research Review

ISSN: 2040-8269

Article publication date: 26 July 2021

Issue publication date: 24 January 2022

134

Abstract

Purpose

Banks in India have started opening their branches in different areas to make sure that their customers get a high-touch experience and they see them as a premier brand. This could be ensured only if the banks show a stable physical presence in the market as well as provide the recent high-tech services to their customers as per the population group. The purpose of this study is to examine the survival rates of the commercial banks in India across the four population groups along with the differences that exist in their survival rates in all the population groups.

Design/methodology/approach

The analysis is based on the quarterly data of the number of functioning offices of the commercial banks in India as per the four population groups from March 2006 to December 2019. The survival is estimated using the Kaplan–Meier estimator.

Findings

From the analysis, it is revealed that survival of the banks changes as per the population group. In addition to this, it is found that the survival time of each category of the bank varies in each population group.

Research limitations/implications

This study focuses only on the commercial banks of India; a similar research could be done for other categories of Indian banks. Also, the results would have been different if the variables such as the size of the bank, bank risk, etc. are included and studied. Moreover, this study is done using the Kaplan–Meier estimator, i.e. time-to-event. Further, an advance study could be done after considering the financial parameters of banks using the Cox’s regression model, which explores the relationship between various predictors and the time-to-event.

Social implications

Due to the changes in the preferences of societies, the banks should also adopt different strategies to ensure that their products are understood and accepted by their customers. This will eventually increase the survival rate of the banks.

Originality/value

The work made in this study is completely new.

Keywords

Citation

Khanna, S. and Gaur, M. (2022), "Population groups and banks: a comparative study on the survival analysis of Indian commercial banks", Management Research Review, Vol. 45 No. 2, pp. 137-155. https://doi.org/10.1108/MRR-07-2020-0397

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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