金融包容性
人口
业务
支化(高分子化学)
泊松回归
金融服务
独创性
面板数据
发展中国家
经济
财务
经济增长
计量经济学
政治学
社会学
材料科学
人口学
创造力
法学
复合材料
作者
Quanda Zhang,Rashmi Umesh Arora,Sisira Colombage
标识
DOI:10.1108/ijbm-07-2020-0395
摘要
Purpose Bank branching plays a significant role in a wide range of economic activities. Existing studies on determinants of bank branching activities largely focus on developed countries; studies devoted to developing countries are scant. The purpose of this paper is to examine the determinants of bank branching activities in one of the largest developing country India. Design/methodology/approach The authors employ a unique longitudinal data to study the determinants of bank branch location in India. These data are collected at the state level covering 25 Indian states for the period 2006–2017. The authors employ Poisson regression that are better suited for modeling counted dependent variable. Findings First, region and bank specific factors such as size of population and bank deposits influence location of bank branches. Second, the relationship between these factors and branch locations is heterogeneous across different types of banks and across states with different business environments. Practical implications First, from the view of banks, considering the factors of branch location are crucial in order to set out branching strategy. Irrespective of policy measures aimed at promoting financial inclusion in India, the authors show that banks consider economic activities in the region in locating their branches. Second, from the view of policy makers and regulators, such branching strategy could potentially contribute to financial exclusion. As a result, population in the less developed regions may be excluded from accessing financial services. Hence, policy makers and regulators should take into this account when formulating policies aimed at promoting financial inclusion. Originality/value First, while existing studies largely focus on developed countries, studies devoted to developing countries are scant. To the best of our knowledge, the authors have not come across any study that investigates the determinants of bank branch location in India, so the authors reasonably believe that this study is a first-of-its-kind. Second, the study provides a new perspective concerning how regional and bank specific factors influence banks of different ownership in locating branches. Third, while traditional regression used to be a method of choice among early studies, the authors employ Poisson regression that is better suited for modeling counted dependent variable.
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