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Table 1 Summary of literature review

From: Factors influencing commercial bank profitability in Bangladesh: a panel data approach

 

References

Variables/models

Sample

Study period

Country/region

Analysis methods

1

[7]

Return on asset (ROA), return on equity (ROE), capital adequacy, bank size, financial leverage, credit risk, operating efficiency, inflation, gross domestic products (GDP) growth

6

2013–2019

Bahrain

Regression and unit root test

2

[77]

ROE, NPL, GDP, solvency ratio, inflation (INF), interest rates

28

2006–2015

Europe

Regression

3

[16]

ROA, ROE, non-performing loans to total gross loans, regulatory capital to risk-weighted assets, liquid assets to total assets, non-interest expenses to gross income, interest margin to gross income

 

2005–2013

Chile, Columbia, Honduras, Mexico, Paraguay, El Salvador

Regression

4

[52]

ROA, ROE, net interest margin (NIM), bank size, capital to risk assets ratio, liquidity, non-performing investment, operating efficiency, GDP growth, inflation

8

2010–2017

Bangladesh

Regression

5

[119]

ROA, ROE, NIM, credit-to deposits ratio, NPL, non-interest income share, banking crisis, capital share, bank concentration, stock market capitalization, Lerner index, GDP growth, inflation, trade

–

1996–2017

Central European Countries

Regression

6

[11]

ROA, ROE, NIM, market concentration, inflation rate, liquidity risk, real GDP growth rate, CRIS is credit risk, business mix indicator, capital adequacy and efficiency ratio

25

2001–2015

Nigeria

Ordinary least square, panel unit root test and GMM

7

[60]

ROA, total asset, total equity to total asset, total loans to total asset, deposits to total assets

10

2004–2008

Pakistan

Pooled ordinary least square (POLS)

8

[111]

ROA, NIM, NPL, capital adequacy ratio (CAR), operational cost to revenue, total asset, exchange rate, oil price, consumption of cement and fed rate

26

2007–2018

Indonesia

Regression

9

[26]

ROA, EOE, bank size, capital adequacy, bank risk, operating expenses, profit per employee, inflation, GDP growth

35

2006–2014

Vietnam

Regression and GMM

10

[41]

ROA, liquid assets/total assets, total loans/total deposits, GDP growth, INF

26

2013–2018

Vietnam

Regression and GMM

11

[58]

ROA, ROE, NIM, bank size, equity to total assets, credit risk, liquidity ratio, total loans/assets, GDP growth, INF, interest rate, unemployment, regulatory quality, political instability, government effectiveness

18

2005–2017

Iraq

Regression

12

[19]

ROE, INF, GDP growth, non-interest income/interest income, size square logarithm of total assets, liquidity ratio, loans/deposits ratio, NPL, and CAR

103

2008–2016

MENA

Regression

13

[95]

ROA, NIM, ROE, capital, risk, bank size, ownership structure, non-interest income to total assets, cost/income ratio, off-balance sheet items/total assets, GDP growth and inflation

25

2006–2013

Bangladesh

Regression

14

[104]

ROA, ROE, liquidity risk, credit risk/credit quality, bank operational efficiency, capital efficiency, bank size, GDP, INF

42

2009–2010

Bangladesh

Regression

15

[57]

ROA, ROE, NIM, total interest income, non-interest income, operating expenditure, total deposits, capital, liquidity, GDP growth, INF, interest rate

23

2013–2017

Bangladesh

Regression

  1. Source: Developed by author