Market share and performance in Taiwanese banks: min/max SBM DEA

Liu, Ying; Chiu, Yung‐ho; Lin, Tai Yu; Huang, Yun Yuan

doi:10.1007/s11750-019-00504-6

Cited by 15 publications

(9 citation statements)

References 32 publications

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“…Following Li et al, (2019), this study adopts the approach of estimating mean factor efficiency to identify causes of inefficiency occurring in the inefficient banks. The improvement for individual input and output variable is estimated by exercising the relationship between actual and predicted estimates of the variables.…”

Section: Results and Findingsmentioning

confidence: 99%

Operational Performance Modelling of Indian Banks: A Data Envelopment Analysis Approach

Preeti,

Roy

2022

Paradigm: A Management Research Journal

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The rising level of non-performing loans (NPLs) posits risk on the operational working of the banking sector. The study focuses on developing an operational performance model for banks by considering the NPLs. The study uses non-parametric methodology to develop a non-oriented and non-radial Data Envelopment Analysis (DEA) model with NPLs as undesirable output. The dataset of 39 Indian commercial banks for period of 5 years is selected for the study. The findings of the study prove that considering risk into performance modelling leads to an unbiased efficiency indicator. Also, the non-parametric test confirms the relationship between operational efficiency and ownership. The study uses non-orientation modelling results to reveal inefficient sources within under-performing banks. As per the findings, slack variable analysis reveals two problem areas: ‘fixed assets’ and ‘NPLs’. A higher focus on improving utilization of fixed assets as well as controlling the level of rising NPL (risk) is highly significant for benchmarking performance. Overall, the study supports the business decision to control excess inputs and outputs for banks to achieve the efficient frontier. Significant managerial implications are linked to findings of the study focusing towards performance improvement of banks.

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Section: Results and Findingsmentioning

confidence: 99%

Operational Performance Modelling of Indian Banks: A Data Envelopment Analysis Approach

Preeti,

Roy

2022

Paradigm: A Management Research Journal

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“…USBM DEA model permits further analysis of inefficiency existing within the banks. The relationship between projected and actual factor value can be used to estimate mean factor efficiency, which is another form to analyse the slacks present in inefficient banks (Li et al, 2019). For input mean factor efficiency index, the predicted factor value is divided by actual factor value.…”

Section: Results Analysismentioning

confidence: 99%

“…Excessive use of deposit (input variable) is another cause of inefficiency. However, Li et al (2019) found a contradictory result by proving excess deposit to be the most effective variable for Taiwanese banks. Including NPL as undesirable output in non-radial DEA model, the findings reveal that excessive level of NPLs leads to lower operational efficiency.…”

Section: Discussionmentioning

confidence: 99%

Application of Hybrid Approach in Banking System: An Undesirable Operational Performance Modelling

PREETI

Roy

2021

Global Business Review

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Non-performing loans (NPLs) is a critical constituent that impacts the operational performance of banks. Rising level of risk leads to poor operational performance, especially when it is beyond the bank’s capabilities to control the increasing bad assets. This calls for real-time performance assessment coupled with futuristic decision making to support banking managers. This observation motivates the authors of this article to develop a two-stage performance prediction assessment model. Accordingly, a hybrid approach combining data envelopment analysis (DEA) and artificial neural network (ANN) is developed to measure and predict the operational efficiency scores of banks. DEA effectively explores the operational performance as well as improvable areas of inefficient banks. The training of ANN model is dependent on estimated operational DEA efficiency scores with the objective to estimate the efficiency scores. Domain for the validation of this study includes dataset derived from Indian banks. The validation result shows that trained ANN model has the prediction capacity with minimum error and maximum accuracy. Finally, the outcome of this study is significantly directed towards business managers who can rely on predictions based on empirical findings of this proposed hybrid modelling.

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“…Data Envelopment Analysis (DEA) has become a widely used technique to compare the efficiency of serviceproducing units because it easily handles the multiple outputs characteristic of public sector production, is nonparametric and does not require input price data [34]. The popular application is with deterministic information and classic DEA models [3,10], for instance, in health care Jesús A. Tapia jesus.tapia@uva.es Bonifacio Salvador bosal@eio.uva.es 1 Department of Statistic and Operative Research, University of Valladolid, Campus Miguel, Delibes, Paseo Belén, n o ¯7,47011 Valladolid, Spain [1,37] or [25]), universities and research institutes [26], government [17], public libraries [22,23], schools [35], public transport services [15] or banks [28].…”

Section: Introductionmentioning

confidence: 99%

“…These intervals capture the random variations introduced in the DEA analysis by using outputs and inputs estimated with a sample. So far, Simar and Wilson’s [ 38 , 39 ] methodology has been the most common for measuring efficiency with bootstrap confidence intervals in such public services as health care ([ 11 ]), universities and research institutes [ 4 ], government [ 6 ], public libraries [ 29 ], schools [ 19 ], tourism [ 2 ], banks [ 28 ] or public transport services [ 21 ]. The problem posed by Simar and Wilson is different from ours because the stochastic character of the inputs and outputs is different.…”

Section: Introductionmentioning

confidence: 99%

Data envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system

Tapia

Salvador

2022

Health Care Manag Sci

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Measuring the relative efficiency of a finite fixed set of service-producing units (hospitals, state services, libraries, banks,...) is an important purpose of Data Envelopment Analysis (DEA). We illustrate an innovative way to measure this efficiency using stochastic indexes of the quality from these services. The indexes obtained from the opinion-satisfaction of the customers are estimators, from the statistical view point, of the quality of the service received (outputs); while, the quality of the offered service is estimated with opinion-satisfaction indexes of service providers (inputs). The estimation of these indicators is only possible by asking a customer and provider sample, in each service, through surveys. The technical efficiency score, obtained using the classic DEA models and estimated quality indicators, is an estimator of the unknown population efficiency that would be obtained if in each one of the services, interviews from all their customers and all their providers were available. With the object of achieving the best precision in the estimate, we propose results to determine the sample size of customers and providers needed so that with their answers can achieve a fixed accuracy in the estimation of the population efficiency of these service-producing units through the use of a novel one bootstrap confidence interval. Using this bootstrap methodology and quality opinion indexes obtained from two surveys, one of doctors and another of patients, we analyze the efficiency in the health care system of Spain.

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Market share and performance in Taiwanese banks: min/max SBM DEA

Cited by 15 publications

References 32 publications

Operational Performance Modelling of Indian Banks: A Data Envelopment Analysis Approach

Operational Performance Modelling of Indian Banks: A Data Envelopment Analysis Approach

Application of Hybrid Approach in Banking System: An Undesirable Operational Performance Modelling

Data envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system

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