Evaluating the resource management and profitability efficiencies of US commercial banks from a dynamic network perspective  

作　　者：Qian Long Kweh Wen-Min Lu Kaoru Tone Hsian-Ming Liu 

机构地区：[1]School of Management,Canadian University Dubai,City Walk–Al Wasl,Dubai,United Arab Emirates [2]Department of International Business Administration,Chinese Culture University,No.55,Hwa-Kang Road,Shilin District,Taipei,114,Taiwan [3]National Graduate Institute for Policy Studies,7-22-1 Roppongi,Minato-Ku,Tokyo,106-8677,Japan [4]Department of Financial Management,National Defense University,No.70,Sec.2,Zhongyang North Rd.,Beitou,247964,Taiwan

出　　处：《Financial Innovation》2024年第1期4081-4100,共20页金融创新(英文)

基　　金：provided by Ministry of Science and Technology(Grant No.MOST 107-2410-H-034-056-MY3).

摘　　要：The central concept of strategic benchmarking is resource management efficiency,which ultimately results in profitability.However,little is known about performance measurement from resource-based perspectives.This study uses the data envelopment analysis(DEA)model with a dynamic network structure to measure the resource management and profitability efficiencies of 287 US commercial banks from 2010 to 2020.Furthermore,we provide frontier projections and incorporate five variables,namely capital adequacy,asset quality,management quality,earning ability,and liquidity(i.e.,the CAMEL ratings).The results revealed that the room for improvement in bank performance is 55.4%.In addition,we found that the CAMEL ratings of efficient banks are generally higher than those of inefficient banks,and management quality,earnings quality,and liquidity ratios positively contribute to bank performance.Moreover,big banks are generally more efficient than small banks.Overall,this study continues the current heated debate on performance measurement in the banking industry,with a particular focus on the DEA application to answer the fundamental question of why resource management efficiency reflects benchmark firms and provides insights into how efficient management of CAMEL ratings would help in improving their performance.

关 键 词：Performance evaluation Dynamic network data envelopment analysis CAMEL ratings Resource management efficiency Profitability efficiency 

分 类 号：TN9[电子电信—信息与通信工程]