Banking Efficiency in the Context of European Integration

Stavárek, Daniel

doi:10.2753/eee0012-8775440401

Cited by 30 publications

(12 citation statements)

References 17 publications

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“…Basic models are discussed in the works of many authors, and they are applied in many areas. In the Slovak and Czech Republic, the DEA models have been used to measure the efficiency of financial institutions, for example in the work of Stavárek (2006), Jablonský and Grmanová (2009);Stavárek and Řepková (2012). The DEA was also used to measure efficiency in other areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of the DEA on the measurement of efficiency in the EU countries

Kočišová

2015

AGR ECON-CZECH

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Th e purpose of the paper is to investigate the relative technical effi ciency of the agricultural sector in the European Union (EU) using the Data Envelopment Analysis (DEA) during the period 2007-2011. Th e authors investigated efficiency using both the input and output-oriented models with the assumption of a variable return to scale. Th ey looked for causes of ineffi ciency and made recommendations for ineffi cient agricultural sectors. Th e results show that, in average, the EU agricultural sectors performed effi ciently, as evidenced by the relatively high value of the average input and output efficiency. Th e effi ciency of the EU agricultural sectors had changed over the past few years, and in both models the effi ciency has generally decreased over time. As the main source of ineffi ciency was labelled the input "total utilised agricultural area" and as the strength with a positive impact on effi ciency, there was labelled the "crop output. " By calculating the optimal values for the input and output variables for ineffi cient agricultural sectors, it has been found that for the effi cient production of a given quantity of outputs, it was necessary to reduce the value of the in put "total labour" in average by 6.18%, the "total utilised agricultural area" in average by 14.45% and the "total assets" in average by 5.93%. In case of the output-oriented model for effi cient use of a given quantity of inputs, the agricultural sectors should produce up to 111.85% of their crop output and 113.41% of their animal output.

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Section: Literature Reviewmentioning

confidence: 99%

Application of the DEA on the measurement of efficiency in the EU countries

Kočišová

2015

AGR ECON-CZECH

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“…There were several studies with their attention devoted to technical effi ciency measurement in the Slovak conditions that employed some approach of data envelopment analysis (DEA) either for the entire banking sector (e.g. Stavárek, 2006;Zimková, 2014Zimková, , 2015 or on the level of branch offi ces (e.g. Ševčovič, Halická and Brunovský, 2001;Kočišová, 2012), but they failed to recognize the importance of this issue and opted for variable returns to scale by default.…”

Section: Introductionmentioning

confidence: 99%

A Slacks-based Measure DEA Methodology for Identification of Returns to Scale in the Slovak Banking Sector

Boďa¹

2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Taking into consideration that knowing the nature of scale of operations is important both to size optimization and to technical effi ciency measurement, the paper aims to identify for individual commercial banks of the Slovak banking sector the scale of their operations as exhibited by their production activities during the period from 2000 and 2012. To this end, the DEA procedure of Tone and Sahoo utilizing the concept of the degree of scale elasticity is enhanced and combined with the framework of the SBM model. The analysis of scale is conducted for the major 11 Slovak commercial banks under the prism of the production approach to banking operations, in which the economic assumption that three solid phases can be singled out in the development of the Slovak banking sector is made. The results confi rm that the largest Slovak commercial banks were in the investigated period already "too large" so as to gain potentially some benefi t from expanding their depository and creditory services by increasing their inputs.

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“…5 We mention just studies by Bergendhal (1998), Bukh et al (1995) and Berg et al (1993) integration effort of European Union countries is analyzed by several studies like Casu and Molyneux, (2003) that finds relatively small improvement in bank efficiency levels and no convergence after 1992 or Lozano-Vivas, Pastor and Iftekhar, (2001) that identifies Spain, Denmark and Portugal with the most efficient banking sector in European Union. Two papers analyzing Central and Eastern European countries, find that the efficiency of their banking sector is correlated with the level of integration in European Union (Grigorian andManole, 2006 andStavarek 2006). The banking sector from developing countries is also examined with the help of DEA.…”

Section: Methodsmentioning

confidence: 99%

Cross-Country Nonparametric Analysis of Bahrains Banking System

Grigorian

Manole

2013

Acta Universitatis Sapientiae, Economics and Business

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Abstract. Bahrains financial sector development strategy succeeded in building a leading regional banking center, which has become one of the main engines of growth and sources of employment. Based on banklevel productivity estimates obtained using non-parametric estimation, the paper concludes that Bahrain continues to occupy a front-runner position among sample GCC countries. Results also reveal that: (i) banks in Bahrain still lag behind their Singaporean counterparts (included in the study as a benchmark), and (ii) there is strong competition from other countries in the region. The results appear to be robust with respect to changes in the sample size and model specifications.

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Banking Efficiency in the Context of European Integration

Cited by 30 publications

References 17 publications

Application of the DEA on the measurement of efficiency in the EU countries

Application of the DEA on the measurement of efficiency in the EU countries

A Slacks-based Measure DEA Methodology for Identification of Returns to Scale in the Slovak Banking Sector

Cross-Country Nonparametric Analysis of Bahrains Banking System

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