An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets

2016 ◽  
Vol 46 ◽  
pp. 204-219 ◽  
Author(s):  
Rashed Khanjani Shiraz ◽  
Hirofumi Fukuyama ◽  
Madjid Tavana ◽  
Debora Di Caprio
2017 ◽  
Vol 12 (3) ◽  
pp. 193-203
Author(s):  
David Mautin Oke ◽  
Isaac A. Ogbuji ◽  
Koye Gerry Bokana

In this paper, the authors examined the efficiency of deposit money banks (DMBs) in Nigeria in three years after, during and before the 2004–2005 capital consolidation in Nigeria. This consolidation period was the last period the Central Bank of Nigeria implemented an official recapitalization policy of the deposit money banks in the country. The authors predicated the study on a modified intermediation and efficiency measurement frameworks. It utilizes deposits, fixed assets and employees as inputs, whose costs are interest payments, depreciation and staff expenses. Performing loans and advances, investments and liquid assets constituted the output variables. The authors computed the efficiency scores, using the Data Envelopment Analysis (DEA) approach. The data used were obtained from the DMBs that retained their identities and controlled over 75% of the banking industry’s total assets. They were purposively selected to maintain data consistency, and were size-classified by total assets. The findings show that small banks tend to be more cost efficient than medium and big banks. More so, medium sized banks tend to be more cost efficient than big banks, while big banks take the lead in cost efficiency score in post consolidation period. Cost efficiency of the banks was the highest during consolidation, followed by pre-consolidation and least in three years after consolidation.


Author(s):  
Mirpouya Mirmozaffari ◽  
Gohar Azeem ◽  
Azam Boskabadi ◽  
Ali Aranizadeh ◽  
Aditya Vaishnav ◽  
...  

During the past decade, applying nonparametric operation research problems such as Data Envelopment Analysis(DEA) has received significant consideration among researchers. In this paper, a new DEA-based SBM-FDH model is introduced. Finally, productivity evaluation for banking systems in Malmquist Productivity Index (MPI) based on the proposed model has been compared with Slack Based Measurement (SBM) and Free Disposal Hull (FDH). The obtained results confirm the high performance of the proposed model in comparison to the other models used in this paper.                                                                                                                                                                                                                                                                                                                           


2019 ◽  
Vol 5 (1) ◽  
pp. 46-56
Author(s):  
Supriyono Supriyono ◽  
Ahmad Rodoni ◽  
Yacop Suparno ◽  
Hermadi Hermadi ◽  
Hilyatun Nafisah

In this study, the researcher would make Panin Dubai Syariah Bank was the object of research on Islamic banks that carry out mergers and acquisitions. This research by using quarterly financial reports to determine the level of efficiency of the Panin Dubai Syariah Bank to be analyzed using the Data Envelopment Analysis (DEA) method. The researcher was used the annual report to find out the extent the Panin Dubai Syariah Bank carries out its Shariah values and objectives to be analyzed based on the Maqashid Index Sharia. The frontier approach can be divided into parametric approaches and non-parametric approaches. The parametric  approach  takes  measurements  using  stochastic  econometrics  and  seeks  to  eliminate interference from the effects of inefficiency. While the non-parametric approach with linear programs ( non-parametric linear programming approach ) performs non-parametric measurements using an approach is not stochastic and tends to combine the interference into inefficiency. This is based on the discovery and observation of the population and evaluates efficiency relative to the units observed. In the non- parametric method, the approaches that can be used are Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). The results of the measurement of Bank Panin Dubai Syariah using DEA indicate that the decision to merge carried out by Panin Syariah Bank with Dubai Islamic Bank was the right decision because, with the merger, Panin Dubai Syariah Bank could produce almost perfect efficiency value of 99% in the year 2015. With doing the merger, Bank Panin Dubai Syariah can minimize the inefficiencies that occur in the input variable so that it can maximize the efficiency that occurs in the output variable


2020 ◽  
Vol 14 (4) ◽  
pp. 387-396
Author(s):  
F. Hosseinzadeh Lotfi ◽  
A. Amirteimoori ◽  
Z. Moghaddas ◽  
M. Vaez-Ghasemi

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
M. Abbasi ◽  
G. R. Jahanshahloo ◽  
M. Rostamy-Malkhlifeh ◽  
F. Hosseinzadeh Lotfi

This paper deals with evaluating congestion in free disposal hull (FDH) models. There are several approaches in data envelopment analysis (DEA) literatures which discuss the theory and application of congestion. However, almost all of these approaches considered convex DEA technologies. So, in the case of nonconvex technologies, including FDH technology, this field is almost nil. This paper makes an attempt to fill in this void. To do so, this study provides a pairwise comparisons-based algorithm to evaluate congestion in FDH model. This algorithm identifies the sources of congestion and estimates its amounts. It is also capable of detecting the losses amounts of output due to congestion. The validity of the proposed model is demonstrated using some numerical and empirical examples.


2017 ◽  
Vol 34 (05) ◽  
pp. 1750023
Author(s):  
Soheila Seyedboveir ◽  
Sohrab Kordrostami ◽  
Behrouz Daneshian ◽  
Alireza Amirteimoori

The “Dynamic-network” version of cost efficiency measurement in Data Envelopment Analysis (DEA) is proposed in this paper. The classical DEA models ignore operations of individual processes within a system; moreover, they compute efficiency at the same time. Therefore, we suggest a relational model to estimate cost efficiency in static network structures. Also, we incorporate the dynamic effect in network structures. The proposed models here evaluate the overall efficiency over the whole periods and indicate it as a weighted average of period efficiencies. The main advantage revealed in this study is recognition of: which divisions at what periods caused the inefficiency of the system, the internal activities of the system over time, considered; moreover, the results obtained here is applicable in, improving the performance of the system. A case study of Iranian banking industry is used to show the applicability of the approach.


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