Banking Market Structure: Models and Empirical Research

2011 ◽  
pp. 421-434
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salah U-Din ◽  
David Tripe

PurposeThe study aims to analyze the changes in banking market structure and their impact on the bank efficiency.Design/methodology/approachThis study uses a one-stage stochastic frontier analysis (SFA) to compare the impact of the market structure and the GFC on the economic efficiency of the major banks in both countries.FindingsA significant negative impact of the GFC is observed on bank efficiency. Overall, Canadian banks posted better efficiency scores than their American counterparts. Additionally, cost-efficient banks are found to be more resilient to crises and more profit-efficient in the post-GFC period. The authors found that market power had a positive impact on the cost and profit efficiency of banks. Higher levels of equity, market power and concentration helped banks be more cost-efficient.Research limitations/implicationsOnly large banks are selected for study although it represents the majority stake of both banking sectors.Practical implicationsBanking regulators should include more measures to assess the banking market structure and performance.Originality/valueAs per the best knowledge of the authors, it is the first study to assess the change in banking market structure and efficiency of the US and Canadian banking sectors in the post-GFC period.


2020 ◽  
Vol 39 (4) ◽  
pp. 5233-5242
Author(s):  
Ran Liu ◽  
Pingfeng Liu ◽  
Wang Zhang ◽  
Ahmed K. Metawee

The objective of this study is to promote the structural optimization of the banking industry and improve the national economic level. The analysis method based on the co-integration test is adopted to study the relationship between market structure optimization and economic growth in the banking industry. Firstly, the current economic growth condition, development trend, and the development of the banking industry are analyzed. Secondly, the model between the bank market institutions and the economy is constructed, and the data source of the model is analyzed. Thirdly, the stationarity test, co-integration test, and regression analysis of the studied data are carried out based on the co-integration test. The results show that there is a significant negative correlation between the concentration of banks and the overall economy, and there is a significant negative correlation between the market structure of banks and the downgrading growth of various industries. Also, the variables of social material input level and human capital input have a significant positive correlation with the economy. It is hoped that the results of this study can provide a good guiding significance for China’s economic development.


World Economy ◽  
2014 ◽  
Vol 37 (10) ◽  
pp. 1388-1409 ◽  
Author(s):  
Pei-Chien Lin ◽  
Ho-Chuan Huang

2017 ◽  
Vol 54 (3) ◽  
pp. 1319-1333
Author(s):  
Angela S. Bergantino ◽  
Claudia Capozza

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