Analysis on the Operational Efficiency of Urban Commercial Banks in Guangdong-Hong Kong-Macao Greater Bay Area -Empirical Analysis Based on DEA Model and Malmquist Index-

2021 ◽  
Vol 19 (3) ◽  
pp. 162-184
Author(s):  
Dan Zhang ◽  
Xu Jin ◽  
Sang Do Park
Keyword(s):  
Hong Kong ◽  
Empirical Analysis ◽  
Commercial Banks ◽  
Malmquist Index ◽  
Operational Efficiency ◽  
Dea Model ◽  
Bay Area

scholarly journals A Comparative Analysis of Operational Efficiency between Chinese and Indian Commercial Banks

2018 ◽  
Vol 2 (3) ◽  
pp. 41
Author(s):  
Nan ZHU ◽  
Huajie ZHANG
Keyword(s):  
Comparative Analysis ◽  
Technical Efficiency ◽  
Commercial Banks ◽  
Design Research ◽  
Malmquist Index ◽  
Operational Efficiency ◽  
Efficiency Score ◽  
Foreign Banks ◽  
Financial Industry ◽  
Index Method

Aim:The objective of this paper is to make comparative analysis on operational efficiency between Chinese and Indian commercial banks (CBs). Design / Research methods: Following the previous scholars’ study, two models with different sets of input and output variables have been used to show how efficiency scores vary with change in inputs and outputs. The efficiency scores are measured by using data envelopment analysis (DEA) approach. Conclusions / findings: The mean technical efficiency score of Chinese CBs is always relatively higher than the corresponding score of Indian CBs in 2012-2013, respectively. In terms of technical efficiency and pure technical efficiency, the performance of foreign banks in China is always relatively lower than that of foreign banks in India. Originality / value of the article: While many similar studies have evaluated the performance of banking industries in different countries, very few studies have evaluated the performance of banking sectors between Chinese and Indian economies. The paper would be of interest for OR scholars and practitioners in financial industry. Implications of the research (if applicable): The next step of this study could collect more samples and use Malmquist index method to conduct further study on efficiency, efficiency changing and productivity, in order to conduct further competitive power analysis on both of banking industries of China and India.

Efficiency Analysis of the Marine Economy in the Guangdong–Hong Kong–Macao Greater Bay Area Based on a DEA Model

2020 ◽  
Vol 106 (sp1) ◽  
pp. 225
Author(s):  
Mingming Wen ◽  
Chang Liu ◽  
Petruk Galina ◽  
Chen Tao ◽  
Xiaomei Hou ◽  
...  
Keyword(s):  
Hong Kong ◽  
Efficiency Analysis ◽  
Dea Model ◽  
Bay Area ◽  
Marine Economy

Income Diversification and Bank Efficiency in Vietnam

2017 ◽  
pp. 52-67
Author(s):  
Sang Nguyen Minh
Keyword(s):  
Regression Model ◽  
Commercial Banks ◽  
Banking System ◽  
Operational Efficiency ◽  
Commercial Banking ◽  
Tobit Regression ◽  
Income Diversification ◽  
Positive Effects ◽  
Study Results ◽  
The Impact

This study uses the DEA (Data Envelopment Analysis) method to estimate the technical efficiency index of 34 Vietnamese commercial banks in the period 2007-2015, and then it analyzes the impact of income diversification on the operational efficiency of Vietnamese commercial banks through a censored regression model - the Tobit regression model. Research results indicate that income diversification has positive effects on the operational efficiency of Vietnamese commercial banks in the research period. Based on study results, in this research some recommendations forpolicy are given to enhance the operational efficiency of Vietnam’s commercial banking system.

scholarly journals Patterns of the Network of Cross-Border University Research Collaboration in the Guangdong-Hong Kong-Macau Greater Bay Area

2020 ◽  
Vol 12 (17) ◽  
pp. 6846
Author(s):  
Jinyuan Ma ◽  
Fan Jiang ◽  
Liujian Gu ◽  
Xiang Zheng ◽  
Xiao Lin ◽  
...  
Keyword(s):  
Social Sciences ◽  
Hong Kong ◽  
Research Collaboration ◽  
Citation Impact ◽  
High Quality ◽  
High Quality Research ◽  
Cross Border ◽  
Bay Area ◽  
Research Areas ◽  
Industrial Distribution

This study analyzes the patterns of university co-authorship networks in the Guangdong-Hong Kong-Macau Greater Bay Area. It also examines the quality and subject distribution of co-authored articles within these networks. Social network analysis is used to outline the structure and evolution of the networks that have produced co-authored articles at universities in the Greater Bay Area from 2014 to 2018, at both regional and institutional levels. Field-weighted citation impact (FWCI) is used to analyze the quality and citation impact of co-authored articles in different subject fields. The findings of the study reveal that university co-authorship networks in the Greater Bay Area are still dispersed, and their disciplinary development is unbalanced. The study also finds that, while the research areas covered by high-quality co-authored articles fit the strategic needs of technological innovation and industrial distribution in the Greater Bay Area, high-quality research collaboration in the humanities and social sciences is insufficient.

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