A Productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables (original) (raw)

Bank productivity and performance groups: A decomposition approach based upon the Luenberger productivity indicator

European Journal of Operational Research, 2011

The purpose of this paper is twofold. First, in the framework of the strategic groups' literature, it analyses changes in productivity and efficiency of Spanish private and savings banks over an eight-year period (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006). Second, by adapting the decomposition of the Malmquist productivity indices suggested by , it proposes similar components decomposing the Luenberger productivity indicator. Initially, total factor productivity is decomposed into technological and efficiency changes. Thereafter, this efficiency change is decomposed into pure efficiency, scale and congestion changes. Empirical results demonstrate that productivity improvements are partially due to technological innovation and show the competition between private and savings banks. While private banks enjoy better efficiency change, savings banks contribute more to technological progress. Consequently, the Luenberger components are used as cluster analysis inputs. Thus, economic interpretations of the resulting performance groups are made via key differences in total factor productivity components. Finally, according to the strategic groups' literature, insights are gained by linking these performance groups with banking ratios.

Technological and environmental differences in the European banking industries

Journal of Financial Services …, 2001

This paper analyzes the productive differences of banking among countries. It proposes a Malmquist type index that allows intercountry productivity differences to be broken down into pure technological differences and differences due to environmental effects. The most relevant feature of this index is its symmetry, since it avoids the problem of measurements being sensitive to the choice of the benchmark country. This index is used to explain the productivity gaps of banking industries across four major countries in Europe as well as the productivity gains that banks could obtain using alternative technologies or with different environments. An output distance function is de®ned and the stochastic frontier approach used to carry out the comparison.

The Productivity of European Banking Sector: A Review of the post-2000 Literature

UTMS Journal of Economics, 2019

Numerous bank productivity studies indicate rapid changes in the structure of the financial services industry and advances in financial and nonfinancial technologies. Based on the literature review, this paper analyses the theoretical background of two concepts of performance evaluation – the terms efficiency and productivity, and empirically, the performance evaluation of banks, i.e., the measurement of the productivity and research results of previous authors’ studies of the European banking sector applying different scientific methods. Non-parametric or parametric techniques, such as DEA with the Malmquist total factor productivity index or SFA method, are increasingly being used to evaluate the productivity of banks and other financial institutions. The measurement of bank productivity is of vital importance from both a microeconomic and a macroeconomic point of view. Therefore, the purpose of this paper is to present productivity literature review of the most relevant studies of the European banking sector published after year 2000. The main results of this research will be the comparative analysis of different empirical scientific studies regarding banking sector productivity evaluation.

Comparative analysis of banking production frameworks in eastern european financial markets

European Journal of Operational Research, 2009

a b s t r a c t 23 This paper performs comparative analysis of the non-radial Russell output technical efficiency measures 24 of 13 Eastern European banking systems assuming a banking production with risk as an undesirable out-25 put and where output components can be negative. This is analysed utilizing three modelling specifica-26 tions; the intermediation, production and profit methodologies. Along with distribution and inter-27 distribution mobility analysis of the efficiency scores across alternative methodologies, we also estimate 28 and statistically compare the distributions of estimated efficiency scores using the bootstrap-based 29 Simar-Zelenyuk-adapted-Li test. The results suggest that although the efficiency levels differ across 30 the approaches, change in positions of the banks relative to the mean is not substantial across the three 31 methodologies.

A Statistical Approach to Evaluating Bank Productivity

2017

Since 2001, when a new cycle in the process of economic transition was vigorously launched in the country, the Serbian banking sector has incurred deep changes. This issue has acutely affected the banking sector in Serbia proper, directly influencing its performance and efficiency. This paper deals with the application of a new statistical approach – the I-distance method - in measuring the financial performance of banks that do business in Serbia in order to determine their productivity level, thus stressing the performance of banks from the perspective of productivity. Additionally, this point of view is essential for projecting productivity in evaluating overall bank operation efficiency.

Productivity Change in European Banks in the Post-Crisis Period

Systems

The paper analyses the productivity change of a balanced panel of 1915 European banks during the 2013–2018 post-crisis period. To study productivity changes, the paper applies the non-parametric output-oriented Data Envelopment Analysis (DEA) approach and the Malmquist productivity index (MPI). The total productivity change estimated by the MPI is further decomposed into technical efficiency change and technological change. The overall MPI estimates show a modest increase in the productivity of banks in half of the EU countries. Further decomposition of the MPI indicates that the productivity growth was mainly a result of technological improvement, which was particularly high among the new EU member states, whereas there was a significant drop in technical efficiency. The productivity growth was higher among banks in the non-euro area and among savings banks. The practical implications drawn from the paper are that European banks should further develop their business models to ratio...

Productivity change patterns in the Romanian banking system - the impact of size and ownership on total factor productivity

2013

In this paper we analyze Romanian banking performance for the period 2006-2011 by computing a Malmquist index based on Data Envelopment Analysis. By adopting the intermediation approach in defining categories of inputs and outputs our conclusions focus on how ownership structure and size influence multi factor productivity change. Also this study aims at identifying the relatively best performing bank categories by focusing on the sources of total factor productivity (TFP) growth. The results point out the difficulty in describing a consistent pattern of efficiency changes in time for the period considered. Overall the trend of productivity growth is a descending one. Alternatively, large and small banks manage to obtain the best scores whereas most time second ranked are medium sized banks. As the efficiency scores suggest, scale efficiency and management efficiency are responsible for most of the productivity growth. In terms of the selected variables this means good financial man...

Modelling risk in efficiency and productivity analysis of banking systems

We argue in this paper that the standard intermediation specification in the banking efficiency and productivity analysis literature has difficulty incorporating risk, and we first review the literature to discover alternative specifications of bank objectives in constructing risk based performance measures including the role of equity capital. We also show in this paper, however, that strong loan growth without complementary input change is consistent not only with scale efficiency improvement but also with weaker loan risk management, and that productivity component analysis may provide risk measures. We review some recent empirical work on European, Asian, and Russian banking systems to demonstrate these arguments. Finally, we argue that a different approach to modelling the activity of banking firms may be useful. Our suggested model is related to the investment trust performance literature where risk is treated as an input and return is an output.