scholarly journals Competition, Innovation, Risk-Taking, and Profitability in the Chinese Banking Sector: An Empirical Analysis Based on Structural Equation Modeling

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Ti Hu ◽  
Chi Xie
Keyword(s):  
Structural Equation Modeling ◽  
Risk Taking ◽  
Structural Equation ◽  
Banking Sector ◽  
Banking Industry ◽  
Market Competition ◽  
Equation Modeling ◽  
Chinese Banking Industry ◽  
New Perspective ◽  
Chinese Banking

We introduce a new perspective to systematically investigate the cause-and-effect relationships among competition, innovation, risk-taking, and profitability in the Chinese banking industry. Our hypotheses are tested by the structural equation modeling (SEM), and the empirical results show that (i) risk-taking is positively related to profitability; (ii) innovation positively affects both risk-taking and profitability, and the effect of innovation on profitability works both directly and indirectly; (iii) competition negatively affects risk-taking but positively affects both innovation and profitability, and the effects of competition on risk-taking and profitability work both directly and indirectly; (iv) there is a cascading relationship among market competition and bank innovation, risk-taking, and profitability.

scholarly journals Assessing the Relevance of Green Banking Practice on Bank Loyalty: The Mediating Effect of Green Image and Bank Trust

2019 ◽  
Vol 11 (17) ◽  
pp. 4651 ◽  
Author(s):  
Ibe-Enwo ◽  
Igbudu ◽  
Garanti ◽  
Popoola
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Banking Sector ◽  
Retail Banking ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Sustainability Performance ◽  
Modeling Analysis ◽  
The Relationship

Studies that examine green banking practice from the relationship marketing perspective are limited. Bearing in mind the importance of loyalty to managers in the banking industry, and the increase in the call for greater sustainability performance from banking firms by customers, our study explore customers’ perception on green banking practice and its effect on bank loyalty. It also investigates the mediating effect of green image and bank trust in the relationship between green banking practice and bank loyalty. Through a quantitative survey, data for this study was adopted from 551 customers of the retail banking sector in North Cyprus. The structural equation modeling technique was used to test the relationship between the study variables. Results from the structural equation modeling analysis conducted indicated a direct and significant influence of green banking practice on green image, bank trust, and bank loyalty. Green image significantly affects bank trust and bank loyalty. No significant relationship exist between bank trust and bank loyalty. Green image mediates the relationship between green banking practice and bank loyalty, while bank trust does not mediate the relationship between green banking practice and bank loyalty.

scholarly journals Predictive Model of High-risk Behaviors in Iranian Male Adolescents Based on Psychological Motivation

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Sajad Aminimanesh ◽  
Ali Asghar Hayat ◽  
Mostafa Khanzadeh ◽  
Mehdi Taheri
Keyword(s):  
Structural Equation Modeling ◽  
High Risk ◽  
Predictive Model ◽  
Risk Behaviors ◽  
Risk Taking ◽  
Structural Equation ◽  
Therapeutic Interventions ◽  
Equation Modeling ◽  
High Risk Behaviors ◽  
Male Adolescents

Background: Awareness of people’s motivations for committing high-risk behaviors helps to explain the underlying causes and provides a framework for their use in preventive and therapeutic interventions. Objectives: This study aimed to evaluate the predictive model of high-risk behaviors in adolescents based on their motivations. Methods: The present research has a correlational design and uses structural equation modeling. The sample included 450 male students selected through a convenience sampling method to complete the Iranian Adolescents’ Risk-taking and Motives for Risk-taking scale. Data were analyzed using structural equation modeling. Results: The results showed that thrill-seeking, calculation, audience control, irresponsibility, and hedonistic motivation had significant relationships with high-risk behaviors. Also, except for attention-seeking, other motivations could significantly contribute to the prediction of high-risk behaviors. Also, the motivations had the strongest impact on alcohol consumption and the minimum impact on smoking. Finally, motivations generally explained 44% of the high-risk behaviors variance. Conclusions: Considering the role of motivations in doing high-risk behaviors, more attention should be given to these factors in preventive and therapeutic interventions.

scholarly journals Risk, competition, efficiency and its interrelationships: evidence from the Chinese banking industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yong Tan ◽  
Vincent Charles ◽  
Doha Belimam ◽  
Shabbir Dastgir
Keyword(s):  
Credit Risk ◽  
Banking Sector ◽  
Banking Industry ◽  
Bank Competition ◽  
Content Type ◽  
Frontier Analysis ◽  
Different Types ◽  
Chinese Banking Industry ◽  
The Impact ◽  
Chinese Banking

PurposeThis study investigates the interrelationships between efficiency, competition and risk in the Chinese banking industry.Design/methodology/approachParametric stochastic frontier analysis is used to estimate bank efficiency; the Lerner index is used as the competition indicator; accounting ratios and a translog function are used to measure different types of risk and finally, the three-stage least square estimator is used to investigate the interrelationships.FindingsThe results of this study show that the impact of competition on different types of risk is significant and positive, while there is a significant and positive impact of credit risk, liquidity risk and capital risk on bank competition. In addition, the findings demonstrate that the interrelationships between efficiency and competition are significant and negative. The authors do not find any robust interrelationships between different types of risk and different types of efficiency; the authors find that diversification and higher levels of profitability reduce bank credit risk. The results suggest that a higher developed banking sector reduces the level of bank competition in China.Originality/valueThis is the first piece of research that comprehensively investigates the interrelationships between different types of risk, competition and different efficiencies in China.

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