scholarly journals Cost efficiency of selected transport companies of the Czech Republic – an application of data envelopment analysis

Author(s):  
Viera Roháčová
Author(s):  
Kateřina Myšková ◽  
Jaroslav Žák

Underpasses play an important role in ensuring permeability of line traffic structures (motorways, expressways) for feral species. There are many studies, articles and methodological guidebooks available describing proper design principles for technical parameters of underpasses and their placement within the terrain. Width, height and length are the main technical parameters affecting wildlife migration. Wildlife behaviour and their requirements for the mentioned technical parameters of underpasses also have been examined in depth. In practically all cases, underpass functionality grows with increasing width and height. Of course, this also results in greater construction costs. The objective should therefore be to find a balanced compromise enabling “sufficient” functionality while maintaining “reasonable” costs. Data envelopment analysis (DEA) provides a way to identify “good” solutions in the sense of “sufficient” underpass functionality with “reasonable” total costs. Underpass functionality calculations were based on a methodology for calculating migration potentials (Žák and Florian, 2013). Total costs were established according to actual construction work prices in the Czech Republic, including prices for preparations, design, construction, maintenance, and demolition. The results indicate that DEA can be used to find “good” solutions and can be of assistance in particular when planning measures to ensure motorways are permeable to wildlife.


Author(s):  
Lukáš Leksovský ◽  
Daniel Stavárek

This paper is the first attempt to analyze efficiency of building societies in the Czech Republic. We apply non-parametric method Data Envelopment Analysis on data from all building societies in the sector over the period 2002–2008. Having deposits received and administrative expenses as inputs and volume of loans disbursed as output we estimate efficiency scores of all individual building societies as well as calculate the average efficiency in the industry. For this purpose we use two alternative models that allows for constant and variable returns of scale respectively. The results suggest that there is no significant improvement in efficiency of building societies during the estimation period. Furthermore, most of the building societies have not been operating at appropriate size. We also found that Českomoravská stavební spořitelna, a. s. was the most efficient building society in the Czech Republic according to the both models applied. In order to increase efficiency, we suggest reduction in the number of external employees and agents or increase of their productivity, more sophisticated products that can outperform the standard services and effective response to changes in the legislature.


Author(s):  
Mohammad Khoveyni ◽  
Robabeh Eslami

Finding efficiency regions (ERs) for extremely efficient decision-making units (DMUs) is one of the important issues from the managerial and economic viewpoints. An extremely efficient DMU will remain efficient if and only if after changing its inputs and/or its outputs this DMU stays within its ER. Thus, by applying the ER information, decision maker(s) of the evaluated extremely efficient DMU can precisely understand the values of input(s) increment and output(s) decrement of this DMU so that it remains efficient. Hence, in this study, we propose a data envelopment analysis (DEA) approach based on the defining hyperplanes of the production possibility set (PPS), which is capable of finding the ERs of the DMUs when their inputs increase and/or their outputs decrease. To demonstrate the applicability of the proposed approach, in the real world, a numerical example and an empirical application to the banking industry in the Czech Republic are provided.


Author(s):  
Iveta Palecková

The aim of the paper is to estimate the cost efficiency of the Czech and Slovak commercial banks within the period 2010-2014. For empirical analysis the Data Envelopment Analysis input-oriented model with variable returns to scale is applied on the data of the commercial banks. The intermediation approach is adopted to define the inputs and outputs. The Czech commercial banks are more cost efficient than Slovak commercial banks. The development of average cost efficiency is similar in the Czech and Slovak banking industry. The most efficient Czech banks are Ceská sporitelna and Sberbank in the Czech banking sector, the most efficient Slovak bank is Privatbanka with 100% efficiency.


2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.


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