Efficiency of Banks in Regions at Different Stage of European Integration Process

Stavárek, Daniel

doi:10.2139/ssrn.672184

Cited by 11 publications

(14 citation statements)

References 33 publications

(19 reference statements)

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“…The mathematical formulation of the DEA Model is presented in the following section as given by Stavarek (2005). The primal problem is: , …, λ n ) λ, 0, 0, is the vector of weights obtained by individual DMUs which can determine the peer group identifi ed by a particular DMU for emulation.…”

Section: Discussionmentioning

confidence: 99%

Financial Analysis of the ICT Industry

Mathur

2009

Journal of Infrastructure Development

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This article attempts to quantify the following things: 1. the technical efficiency of the ICT (Information and Communication Technology) sector in 52 countries in 2006–07 and in 45 countries in 2002–03 by using the DEA method. 2. Malmquist Index of Productivity Growth in the ICT sector in 45 countries between these two periods. 3. the proportions of the productivity growth attributable to efficiency and technical change. 4. the effect on total factor productivity (TFP) of catching-up, the export ratio, Broadband policy and technical readiness using a regression analysis. As a result, the paper finds that: 1. The ICT sectors in South Korea and Argentina were relatively efficient in 2002–03, while in 2006–07, the ICT sectors in Bahrain, Brazil and Sweden showed relative efficiency. 2. The productivity growth in the ICT sector in developing and newly industrialised countries is slightly lower than the growth in developed and transition countries, suggesting the catching-up of developing and newly industrialised countries. This catching-up effect is also confirmed in the regression analysis. 3. Technological readiness, which is a measure of the agility with which an economy adopts existing technologies, has a positive impact on TFP growth.

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Section: Discussionmentioning

confidence: 99%

Financial Analysis of the ICT Industry

Mathur

2009

Journal of Infrastructure Development

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“…It is difficult to estimate banking efficiency because of the variety of services commercial banks offer. Following Stavárek (2005), three main approaches in the literature define the input-output relationship in financial institutions.…”

Section: Literature Reviewmentioning

confidence: 99%

Bank branches efficiency under management and regulatory constraints

Ferro¹,

Lema²,

Schiffrer³

2019

estud.gerenc.

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The main purpose of this paper is to assess the cost-efficiency of Banco Ciudad de Buenos Aires’s bank branches using a Stochastic Frontier Analysis (SFA). With the results, management can decide on new branching dimension. Also, if some regulatory or managerial limits could be lift, such as closure or opening of new branches without the central bank authorization, or redundant staff reduction, the results could be important for management. We detect best and worst behaved branches. The more cost-efficient branches and the least cost-efficient ones differ in their size and input mix. Nonetheless, they present a similar output mix.

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“…Siguiendo a Stavárek (2005), la modelización para este tipo de empresas podría realizarse a partir de tres enfoques: 1) de producción; 2) de intermediación, y 3) de activos. El primero considera a los bancos como generadores de depósitos y préstamos (ambos son productos) utilizando capital y trabajo como insumos.…”

Section: Marco Teóricounclassified

Eficiencia bancaria en Argentina. Comportamiento de los bancos entre 2005 y 2013

Seffino

Maldonado

2016

estud.gerenc.

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El objetivo del trabajo es analizar la evolución de la eficiencia de ciertas entidades bancarias argentinas durante el período comprendido entre los años 2005 y 2013. En tal sentido, se buscará distinguir los factores que contribuyen a explicar tal desempeño. A tal efecto, se combinará el análisis envolvente de datos (DEA) con el índice de productividad de Malmquist (IPM). Esto permite medir las variaciones en la productividad a lo largo del tiempo y, al mismo tiempo, descomponer sus causas. Los resultados alcanzados muestran una mejora en la productividad total y en la eficiencia técnica para un grupo importante de las entidades analizadas.The aim of this paper is to analyse the evolution of the efficiency of certain Argentine banks for the period between 2005 and 2013. In this regard, it will seek to distinguish the factors that help explain this performance combining the data envelopment analysis (DEA) and the Malmquist productivity index (MPI). This allows to measure variations in productivity over time and, simultaneously, finding out its causes. The results show an improvement in overall productivity and technical efficiency for a large group of institutions analysed

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Efficiency of Banks in Regions at Different Stage of European Integration Process

Cited by 11 publications

References 33 publications

Financial Analysis of the ICT Industry

Financial Analysis of the ICT Industry

Bank branches efficiency under management and regulatory constraints

Eficiencia bancaria en Argentina. Comportamiento de los bancos entre 2005 y 2013

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