Non-radial Fuzzy Network DEA Model Based on Directional Distance Function and Application in Supply Chain Efficiency Evaluation

Author(s):  
Liqin Wang ◽  
Chuntao Yao
2020 ◽  
Vol 13 (3) ◽  
pp. 286
Author(s):  
Teng Ren ◽  
Zhongbao Zhou ◽  
Sidi Li ◽  
Shijian Wu ◽  
Binghua Song

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yelin Hu ◽  
Bingjing Li ◽  
Ying Zha ◽  
Douqing Zhang

PurposeThe banking industry plays a key role in China's financial industry. In the past decade, the speed of the development of China's commercial banks has gradually declined. Commercial banks with different ownership structures also have certain differences in terms of operating efficiency, and their monetary policies are often different. Therefore, the authors study the impact of ownership structure on the efficiency of commercial banks under different monetary policies. This study also provides relevant reference opinions with regard to the healthy, sustainable and stable development of China's banking industry.Design/methodology/approachThis paper mainly uses the two-stage data envelope analysis (DEA) model under meta-frontier and group frontier to study the deposit and loan efficiency changes of 16 banks from 2007 to 2014 under ownership structure heterogeneity. Furthermore, the model introduces the balance parameters between deposits and loans, in order to realize the mathematical abstraction description of macro-monetary policy.FindingsFirst, based on bank efficiency analysis, the paper finds that most banks' loan efficiency is higher than their deposits. Second, the paper concludes that different monetary policies have little effect on bank deposit and loan efficiency, while ownership heterogeneity has a significant impact on bank performance. Finally, through the decomposition of the sources of inefficiency in bank performance, this paper finds that management and technology are two factors that affect the inefficiency of banks.Originality/valueThe authors work contributes to the existing literature in the following ways: First, to the best of the authors’ knowledge, this is the first attempt to use the DEA model to study the relationship between monetary policies and bank supply chain efficiency. The results may provide additional managerial implications for the banking industry from the perspective of monetary policies. The result is helpful in terms of explaining how and why banks should strengthen risk management, as well as how to deal with non-performing loans in management terms and finally, why banks should make financial technology innovations in technology terms.


2013 ◽  
Vol 20 (Special-Issue) ◽  
pp. 20-31 ◽  
Author(s):  
Joyce M.W Low ◽  
Shao Wei Lam

Abstract Previous research on port efficiency focuses primarily on the provider’s perspective and assumes that maximizing the output is always desirable. This paper recognizes that maximizing the final output does not necessarily guarantee an efficient system and the notion of port efficiency and service effectiveness needs to be considered from the perspectives of both the provider and the consumer of the port service. The paper proposes a network-DEA model to evaluate the performances of 30 seaports worldwide. The concurrent consideration of efficiency scores from the network-DEA model and the traditional DEA-CCR model will offer valuable insights to port operators on how to improve port performances as part of a seaborne cargo supply chain.


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