Technical Efficiency and Super-efficiency of the Banking Sector in Slovakia

Zimková, Emília

doi:10.1016/s2212-5671(14)00405-5

Cited by 42 publications

(23 citation statements)

References 9 publications

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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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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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“…Una vez integradas las variables, se realizó un análisis de correlación que se muestra en la Tabla 1. Los resultados evidencian una correlación positiva entre las variables de entrada y salida, resultados que están en consonancia con otros métodos de selección de variables propuestos por diferentes autores (Sözen, Alp, & Özdemirc, 2010;Zimková, 2014). De este modo, el diseño metodológico resulta factible para la implementación del DEA.…”

Section: Variables Objeto De Estudiounclassified

Medición de la eficiencia en la industria del limón en Colima mediante el análisis envolvente de datos

Pérez-Cruz¹

2019

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1 Universidad de Colima, México A omar_perez@ucol.mx | http://orcid.org/0000-0003-3367-8259 RESUMEN En este trabajo se analiza la eficiencia total de los factores de la industria del limón en el estado de Colima, México. Se utilizó la metodología no paramétrica del análisis envolvente de datos (DEA, por sus siglas en inglés), para evaluar los niveles de eficiencia con que operan las empresas de este sector industrial, en los determinantes: desempeño económico, eficiencia gubernamental e infraestructura. Los resultados de eficiencia relativa muestran que solo el 22% de las empresas son eficientes. El promedio de las empresas estudiadas fue de 0.716296 y el 44% de las empresas se ubican arriba de esta categoría. Los resultados permiten identificar las industrias que presentan mayor eficiencia, mayor competitividad e índices de variación de productividad.Palabras clave: eficiencia, análisis envolvente de datos, industria del limón. Measurement of the efficiency in the lemon industry in Colima using the data envelopment analysis ABSTRACTThis research analyzes the total efficiency of the factors from the lemon industry in the state of Colima, México. Non-parametric methodology from data envelopment analysis (DEA) was used to evaluate the levels of efficiency with which the companies of this industrial sector operate within determinants: economic performance, government efficiency, and infrastructure. The relative efficiency results show that only 22% of the companies are relatively efficient. The average of the reviewed companies was 0.716296 and 44% of the companies are placed above this category. The results allow us to determine the industries that present greater efficiency, which of those are more competitive, and the indices of variation of their productivity.

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“…Data envelopment analysis (DEA) is a kind of linear programming method, was proposed by Charnes et al based on a relevant viewpoint of Farrell, and is a technique that has been used in many different sectors (e.g., González E et al,; LaPlante AE et Barros et al added the non-performing loans into the efficiency evaluation of banking system, and measured the changes in technical efficiency and productivity of Japanese banks [14]. Emília Zimková analyzed the technical efficiency and the super-efficiency of a representative sample of the commercial banking institutions in Slovakia with the aid of well-known radial and non-radial DEA models [15]. Iveta Řepková applied the Data Envelopment Analysis (DEA) window analysis on the data of the Czech commercial banks and to examine the efficiency of the Czech banking sector from 2003 to 2012 [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Efficiency of Chinese Commercial Banks Based on Undesirable Output and Super-SBM DEA Model

Zhou¹,

Zhu²

2017

JMF

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Based on Super-SBM DEA model, this paper investigates the efficiency of 12 Chinese commercial banks from 2005 to 2013 under the consideration of undesirable output, and verifies the truth that considering undesirable outputs (non-performing loans) can make research result more authentic by comparing with the consequence obtained without considering undesirable output. On this basis, this paper takes a further advantage of Malmquist index to analyze Chinese commercial bank efficiency. The results show that the efficiency of Chinese commercial Banks mainly depends on technological progress. Therefore, that technological progress is the factor influencing the efficiency of Chinese commercial Banks should not be ignored. Finally, this paper puts forward some relevant proposals for Chinese banking sector to improve operational efficiency and promote the technological progress.

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Technical Efficiency and Super-efficiency of the Banking Sector in Slovakia

Cited by 42 publications

References 9 publications

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

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

Medición de la eficiencia en la industria del limón en Colima mediante el análisis envolvente de datos

Research on the Efficiency of Chinese Commercial Banks Based on Undesirable Output and Super-SBM DEA Model

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