Efficiency and productivity growth in the banking industry of Central and Eastern Europe

Koutsomanoli‐Filippaki, Anastasia; Margaritis, Dimitris; Staikouras, Christos

doi:10.1016/j.jbankfin.2008.09.009

Cited by 169 publications

(95 citation statements)

References 41 publications

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“…Some empirical studies e.g. Kosak and Zajc (2006), Bems and Sorsa (2008), Matoušek (2008), Mamatzakis et al (2008) Koutsomanoli-Filippaki et al (2009, Baruník and Soták (2010) or Brissimis et al (2010) examined the banking effi ciency in several European countries and the Czech, Slovak, Polish and Hungarian banking sectors were included in panel data. Stavárek and Polouček (2004) found that the Czech and Hungarian banking sectors were on average evaluated as the most effi cient.…”

Section: Literature Reviewmentioning

confidence: 99%

Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis

Palečková¹

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The aim of the paper is to examine the effi ciency of the banking sectors in Visegrad countries during the period 2009-2013. The group of Visegrad countries includes the Czech Republic, Hungary, Poland and Slovakia. We apply Dynamic Data Envelopment Analysis (DEA) to data on commercial banks in the group of Viserad countries. Next, we calculated average effi ciency of the groups of banks according the total assets. Average effi ciency was slightly decreased during the period 2010-2011 and signifi cantly decreased in 2012 which was probably as a result of fi nancial crisis. In 2013 average effi ciency increased. The Czech and Hungarian banking sector was the highest effi cient. Considering the group of banks according total assets, the group of small banks was the most effi cient in CCR model and the group of medium-sized banks was the most effi cient in BCC model.

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Section: Literature Reviewmentioning

confidence: 99%

Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis

Palečková¹

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…The equity to total assets ratio has also been widely used in European cross country bank studies, including those by Bos and Schmiedel (2007) and Kosak and Zoric (2011), and, in a study concerning central and Eastern European banks, by Koutsomanoli-Filippaki et al (2009) As such, Berger and Mester (2003) treat it as an environmental variable calculated as the "market-average of nonperforming loans (past due at least 90 days or on a non-accrual basis) divided by total loans" -hence being common across all banks…”

Section: Risk Management Control Variables Used In the Bank Efficiencmentioning

confidence: 99%

How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks

et al. 2015

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Adopting a profit-based approach to the estimation of the technical efficiency of South Korean banks over the 2007Q3 to 2011Q2 period, we systematically analyse, within a nonparametric DEA analysis, how the choice of risk management control variable impacts upon such estimates. Using the model of Liu et al. (2010), we examine the dependency of the estimated technical efficiency scores on the chosen risk control variables embracing loan loss provisions and equity as good inputs and non-performing loans as a bad output. We duly find that, both for individual banks and banking groups, the mean estimates are indeed model dependent although, for the former, rank correlations do not change much at the extremes. Based on the application of the Simar and Zelenyuk (2006) adapted Li (1996) test, we then find that, if only one of the three risk control variables is to be included in such an analysis, then it should be loan loss provisions. We also show, however, that the inclusion of all three risk control variable is to be preferred to just including one, but that the inclusion of two such variables is about as good as including all three. We therefore conclude that the optimal approach is to include (any) two of the three risk control variables identified. The wider implication for research into bank efficiency is that the optimal choice of risk management control variable is likely to be crucial to both the delivery of un-biased estimates of bank efficiency and the specification of the model to be estimated.

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“…Their research and results discovered the decrease within the industrial concentration. Furthermore, the concentration of the bank sector is the subject matter of the research that underlined the liaison between competition, concentration and efficiency of banks [14,15].…”

Section: Industrial Concentration In Transition Countriesmentioning

confidence: 99%

Croatian Telecommunication Market: Concentration Trends in the Period from 2003 to 2008

Bach¹,

Zoroja²,

Jirouš³

2013

: Interdiscip. Descr. Complex Syst.

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Telecommunication markets are a valuable factor that contributes to the economic growth and development. The development of the telecommunication markets and services was slower in the countries in transition than in developed European countries, altough after the fall of communism countries in transition implemented a big progress in spreading and modernizing of their telecommunication network.The paper analysis the level of concentration of telecommunication industry in Croatia from 2003 to 2008. The data used in the analysis consider 50 Croatian largest IT firms that are operating on telecommunication market and specific telecommunication sectors: producers of telecommunication equipment, distributers of telecommunication services and implementers of telecommunication solutions. The main two conclusions of this article are: (1) degree of concentration on the telecommunication market in Croatia changed differently in different market shares, (2) degree of concentration on the telecommunication market in Croatia is influenced by different barriers to enter the market.The analysis finds that Croatian telecommunication industry is in a good position even a few steps ahead of some other transition countries.

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Efficiency and productivity growth in the banking industry of Central and Eastern Europe

Cited by 169 publications

References 41 publications

Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis

Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis

How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks

Croatian Telecommunication Market: Concentration Trends in the Period from 2003 to 2008

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