The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis

Turkey and the International Monetary Fund (IMF) agreed to a stand-by arrangement at the outset of 2000. Consequently, Turkey implemented an exchange-rate based stabilization program to combat its high inflation. However, two financial crises followed: one in November, 2000 and the other in February, 2001. As the result some banks became problematic. This necessitated restructuring of the banking sector to increase its financial efficiency.This paper presents a financial performance index for commercial banks. The index allows one to observe the effects of scale and of the mode of ownership (public/domestic, private/domestic/foreign) on bank behavior and, therefore, on bank performance in a developing economy. It documents the effects of financial liberalization, cross-country movements, and the impact of financial crises originating in neighboring countries e.g. Russia. The study applies Data Envelopment Analysis (DEA) to selected fundamental financial ratios using 1989-99 data from commercial banks in Turkey. Year-by-year results explain the effects on this sector of major shifts in both national macro-economic policy and various international developments. The banks that were taken over by the regulatory government agency most recently in the analyzed period were observed to perform poorly with respect to their DEA performance index values.     

我国城市经济增长效率与城市化效率比较分析

利用数据包络分析的曼奎斯特指数方法测算了2000-2008年我国248个城市的经济增长效率和城市化效率,比较分析了不同区域、不同等级城市的效率表现。研究发现,我国城市经济增长效率持续提高,但城市化长期处于低效率状态,严重滞后于经济增长;地级市两种效率的初始领先地位已逐渐被直辖市所取代;东部地区城市的效率表现优于其他地区,但不同等级城市之间差异较大,城市化严重滞后和轻微滞后的城市数量都比较多。认为通过合理的空间规划和产业引导,提高城市化效率、促进城市化与国民经济增长协调发展,是下一阶段城市发展要解决的关键问题。     

Risk contagion in the banking network: New evidence from China

Based on data from 111 Chinese banks over the 2013–2016 period, this paper estimates the interbank bilateral lending matrix using the maximum entropy method. The estimated matrix is used to simulate the effects of credit and liquidity shocks on China’s banking network. Simulation results show that, under the extreme pressure scenario, the contagion arising from a liquidity shock is significantly stronger than the effect of a credit shock, indicating the importance of liquidity in the banking system. The contagion effect arising from a credit shock does not vary much over the sample period. However, the contagion effect arising from a liquidity shock decreases significantly, which could be attributed to contraction in interbank business due to stricter interbank business supervision. The simulation results also identify the most important and most vulnerable nodes of the banking system. An increase in the level of capital level can enhance the ability of banks to withstand credit and liquidity shocks. Our analysis also suggests that risk contagion faced by China’s banks varies across banking network structures.     

A non-parametric index of corporate governance in the banking industry: An application to Indian data

This paper presents a methodological framework for constructing a non-parametric index of corporate governance for banks. The index is constructed by aggregating six distinct dimensional indices capturing different dimensions of corporate governance, namely board effectiveness, audit function, risk management, remuneration, shareholder rights and information, and disclosure and transparency. For aggregation, a tailored version of data envelopment analysis (DEA) approach which is popularly known as constrained ‘Benefit-of-the-Doubt (BoD)’ model is employed. This approach is unique and distinctive in the sense that it requires no a priori knowledge of weights, and assigns endogenous weights obtained from actual data to individual dimensions of bank governance in order to construct a composite index of corporate governance. This methodological framework has illustrated by applying it for a data set of 40 Indian banks operating in the year 2017. The data set has been compiled using 58 governance regulations as defined by relevant jurisdictions.     

Cost efficiency of the banking industry and unilateral euroisation: A stochastic frontier approach in Serbia and Montenegro

This paper aims at investigating the differences in cost efficiency of the banking industry in Serbia and Montenegro over the period 2005–2012. These two countries operated under a common monetary regime until 1999 and followed two different monetary regimes thereafter: unilateral euroisation in Montenegro and monetary independence in Serbia. A stochastic frontier approach incorporating bank-specific and country-related variables is used to analyze cost efficiency in the banking sectors of Serbia and Montenegro. The analysis shows that a bank operating at given conditions in terms of ownership, market and other specific characteristics presents significantly higher cost efficiency if it operates in Montenegro rather than in Serbia. We argue that this result may relate to the choice of unilateral euroisation made by Montenegro. It is also shown that foreign-owned banks, higher capitalized banks and banks with lower non-performing loans operate at higher cost efficiency.     

中国钢铁、汽车、房地产行业运行效率研究（2000-2004）——基于33家上市公司面板数据的DEA实证分析

本文运用33家上市公司面板数据和DEA方法的改进模型，从投入产出结合角度对我国2000-2004年间钢铁、汽车、房地产三大行业的运行效率进行实证研究，建立了运行效率评价模型（G0）及相应投影模型和评价指标体系；计算模型，求出各行业样本公司每年的运行效率指数、投影数据并推算出行业运行效率指数等其他相关数据，定量分析5年间三大行业运行效率的变化趋势，并进行比较研究，得出与事实相吻合的七个结论。     

Efficiency evaluation in municipal services: an application to the street lighting service in Spain

Efficiency evaluation is very important in the municipal realm because of its impact on the people’s standard of living. However, in most cases the value of public output is hardly significant, and therefore measurement is necessarily limited to estimating technical efficiency, which is calculated using physical inputs and outputs. A major part of municipal services can be provided through different types of public management. This plurality of options lends greater relevance to the evaluation. This paper analyzes efficiency in the public street lighting service in Spanish towns, by means of DEA methodology, pursuing two objectives: to estimate the technical efficiency achieved and to discover whether differences in efficiency can be explained by the type of management, that has been chosen, whether public or private. The results of the analysis allow us to confirm that there is a significant relationship between the variables defined as inputs into the process and efficiency. However, the relationship is not very significant for the variables considered as outputs, in some cases. It was also detected that the factors defining the characteristics of the environment and the type of management, whether public or private, do not have a statistically significant impact on efficiency levels.

高校智力资本运作效率的数据包络分析

文章在综合分析高校智力资本的基本概念和主要内容的基础上，提出了用数据包络分析方法评价高校智力资本运作效率的基本思路与方法，并以8所高校在同一学科中的智力资本运作情况为算例，对数据包络分析的算法和所使用的计算工具作了说明。     

Financial stability of Islamic banking and the global financial crisis: Evidence from the Gulf Cooperation Council

Using a sample of 76 banks from the Gulf Cooperation Council region, we use accounting- as well as market-based measures of financial stability to examine whether Islamic banks outperformed conventional banks in the time of financial shocks during the period 2000–2013. We find that the difference between the two banking types was initially not significant during the GFC. However, when the financial shock spread to the real economy during the later phases of the crisis, Islamic banks suffered a significantly higher level of financial instability than conventional banks. This result holds true for large banks but not for small Islamic banks. Small Islamic banks demonstrated a relatively better handling of the economic downturn than large Islamic banks, supporting the argument that Islamic banks are more stable when they operate at a small scale but lose this stability when they increase their scale of operations. Hence, while Islamic banks may have escaped the consequences of highly volatile financial instruments, they were not spared from a major shock in the real economic sectors.     

Bank ownership and cost efficiency: New empirical evidence from Russia

This paper investigates the cost efficiency of Russian banks with regard to their heterogeneity in terms of ownership form, capitalization and asset structure. Using bank-level quarterly data over the period 2005–2013, we perform stochastic frontier analysis (SFA) and compute cost efficiency scores at the bank and bank group levels. We deduct from gross costs the negative revaluations of foreign currency items generated by official exchange rate dynamics rather than by managerial decisions. The results indicate that the core state banks, as distinct from other state-controlled banks, were nearly as efficient as private domestic banks during and after the crisis of 2008–2009. Foreign banks appear to be the least efficient market participants in terms of costs, which might reflect their lower (and decreasing over time) penetration of the Russian banking system. We further document that the group ranking by cost efficiency is not permanent over time and depends on the observed differences in bank capitalization and asset structure. We find that foreign banks gain cost efficiency when they lend more to the economy. Core state banks, conversely, lead in terms of cost efficiency when they lend less to the economy, which can result from political interference in their lending decisions in favor of unprofitable projects Private domestic banks that maintain a lower capitalization significantly outperform foreign banks and do not differ from the core state banks in this respect.     

The impact of market structure on environmental efficiency in the United States: A quantile approach

This paper investigates the relationship between efficiency and market structure for a sample of industrial facilities dispersed among the U.S. states. In order to measure the relevant efficiency scores, we use a data envelopment analysis allowing for the inclusion of desirable and undesirable (toxic chemical releases) outputs in the production function. In the next stage, we utilize the bootstrapped quantile regression methodology to uncover possible nonlinear relationships between efficiency and competition at the mean and at various quantiles before and after the global financial crisis (2002 and 2012). In this way, we impose no functional form constraints on parameter values over the conditional distribution of the dependent variable (efficiency). At the same time, we estimate at which part of its cumulative distribution function the efficiency is located and draw substantial conclusions about the range of policy measures obtained. The empirical findings indicate that the relationship between efficiency and market concentration did change in the aftermath of the global financial crisis. The empirical results survived robustness checks under the inclusion of an alternative market concentration indicator (CR8).     

Diversity,Choice and the Quasi‐market: An Empirical Analysis of Secondary Education Policy in England*

This article investigates the extent to which exam performance at the end of compulsory education has been affected by three major education reforms: the introduction of a quasi‐market following the Education Reform Act (1988); the specialist schools initiative introduced in 1994; and the Excellence in Cities programme introduced in 1999. Using a panel of schools for all state‐funded secondary schools in England (1992–2006), we find that only about one‐third of the improvement in school exam scores is directly attributable to the combined effect of these three major education reforms. The distributional consequences of the policy, however, are estimated to have been favourable, with the greatest gains being achieved by schools with the highest proportion of pupils from poor families.     

The Effect of Sample Size on the Mean Efficiency in DEA with an Application to Electricity Distribution in Australia,Sweden and New Zealand

This study examines the effect of sample size on the mean productive efficiency of firms when the efficiency is evaluated using the non-parametric approach of Data Envelopment Analysis. By employing Monte Carlo simulation, we show how the mean efficiency is related to the sample size. The paper discusses the implications for international comparisons. As an application, we investigate the efficiency of the electricity distribution industries in Australia, Sweden and New Zealand.