Inefficiency source tracking: evidence from data envelopment analysis and random forests

In the present era of complex environments, banks operate in a more dynamic environment, which in turn, affects their relative efficiency. Traditional Data envelopment analysis (DEA) models are widely used to measure efficiency. However, environmental/exogenous variables can significantly influence...

Full description

Saved in:
Bibliographic Details
Published in:Annals of operations research 2021-11, Vol.306 (1-2), p.273-293
Main Authors: Anouze, Abdel Latef, Bou-Hamad, Imad
Format: Article
Language:English
Subjects:
Analysis
Banking industry
Business and Management
Business performance management
Combinatorics
Data analysis
Data envelopment analysis
Efficiency
Financial institutions
Industrial research
Lebanon
Management science
Methods
Operations research
Operations Research/Decision Theory
Performance prediction
Qatar
Regression analysis
S.I.: Regression Methods based on OR techniques
Theory of Computation
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the present era of complex environments, banks operate in a more dynamic environment, which in turn, affects their relative efficiency. Traditional Data envelopment analysis (DEA) models are widely used to measure efficiency. However, environmental/exogenous variables can significantly influence the DEA efficiency scores. Therefore, identifying the most important environmental variables is crucial in the evaluation of bank performances. This study introduces a three-stage DEA framework that employs a random forest as a powerful ensemble method for variable selection to search for the most influential environmental variables. The direction of influence of the selected environmental variables and their predictive power for predicting bank performances are investigated in the third stage, through a regression analysis. The proposed framework is tested with a sample of 110 banks in Middle East and North Africa countries, observed over a period of 3 years (2014 till 2016). Accordingly, a relevant set of environmental variables is identified and its effects on bank efficiency are studied. The findings indicate that the country where the bank operates has a significant effect on the bank’s efficiency. Results also show that the overall average efficiency score is stable (around 87%) for all banks. The study concludes with the limitations and suggested directions for further research.
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-020-03883-3