Consideration of technological and environmental heterogeneity in cost efficiency analysis

In order to evaluate and compare the efficiency levels across banking industries, we adopt the meta-frontier model that can assess the technological difference among countries. Given the importance of country specific conditions, we include in our analysis the different specificities of each country to incorporate the technological as the environmental differences in the evaluation of banking efficiencies. Using data on the banking industries of several countries in the MENA region, over the period 1991–2011, the results of the efficiency scores corrected by the technological and environmental gap led us to conclude that Egyptian banks are the most efficient in terms of cost compared with banks in other countries. Egyptian banks enjoy a very favourable banking technology. Our results support the hypothesis that traditional techniques of efficiency analysis based on the efficiency scores of a specific and pooled frontier tend to mystify efficiency levels and may incorrectly identify efficient banks. This paper contributes to the efficiency literature by incorporating technological and environmental heterogeneities in the evaluation of efficiency. This helps to characterize the production process of a bank and provides common standards by which the efficiencies of banks in different countries can be compared in a meaningful way with each other.     

Financial liberalization and bank efficiency: a comparative analysis of India and Pakistan

This paper provides a comparative analysis of the evolution of the technical efficiency of commercial banks in India and Pakistan during 1988–1998, a period characterized by far-reaching changes in the banking industry brought about by financial liberalization. Data Envelopment Analysis is applied to two alternative input–output specifications to measure technical efficiency, and to decompose technical efficiency into its two components, pure technical efficiency and scale efficiency. The consistency of the estimated efficiency scores are checked by examining their relationship with three traditional non-frontier measures of bank performance. In addition, the relationship between bank size and technical efficiency is examined. It is found that the overall technical efficiency of the banking industry of both countries improved gradually over the years, especially after 1995. Unlike public sector banks in India, public sector banks in Pakistan witnessed improvement in scale efficiency only. It is also found that banks are relatively more efficient in generating earning assets than in generating income. This is attributed to the presence of high non-performing loans. In addition, it is found that the gap between the pure technical efficiency of different size groups has declined over the years.     

Privatization,foreign bank entry and bank efficiency in Croatia: a Fourier-flexible function stochastic cost frontier analysis

Using bank balance sheet data for Croatia for 1994 to 2000, this study estimates a Fourier-flexible frontier cost function. Specification tests indicate that the stochastic frontier model with a Fourier-flexible form with a truncated normal distribution of the inefficiency term allowing for time varying cost efficiency is preferred. The results show that new private and privatized banks, contrary to some expectations, are not the most efficient banks through most of the period. Privatization also does not seem to have an immediate effect on improved efficiency. However, better cost efficiency is associated with a lower likelihood of failure, suggesting that better risk management and better cost management are signs of better management in general. Finally, foreign banks have substantially better efficiency scores than all categories of domestic banks.     

FDI performance: a stochastic frontier analysis of location and variance determinants

The opening up process of the eastern European countries was marked by greater integration of FDI with their western neighbouring countries. Using the single-step ML approach to stochastic frontier analysis, the location and variance determinants of FDI are estimated using the knowledge capital (KK) model framework. The findings, based on a panel of bilateral FDI stocks from 10 western to 10 eastern European countries over the 1996–2007 period, suggest FDI is determined by both horizontal and vertical motives while the process of liberalization and infrastructural developments significantly reduces the variance of FDI. In using a stochastic frontier specification of the KK model, the efficiency of FDI performance is identified relative to maximum levels. The bilateral efficiency scores suggest a mixed performance, indicating scope to improve the efficiency of FDI.     

Bank Ownership and Efficiency in the Aftermath of Financial Crises: Evidence from Indonesia

This paper examines the relationship between types of ownership of banks and their efficiency in the aftermath of a financial crisis using Greene's “true” panel data stochastic frontier model, which takes into account unobserved heterogeneity among banks. The Indonesian banking sector is analyzed using financial data of 144 banks operating in Indonesia over the period of 2000Q4–2005Q2. In the aftermath of the 1997 Asian financial crisis, the cost efficiency of all banks improves over time on average. However, there is some evidence that, as these banks improve their efficiency, state‐owned banks are the least efficient banks while joint‐venture and foreign‐owned banks are the most efficient.     

The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk

This study adopts a three-stage approach to estimate bank efficiency based on information obtained from 29 banks in Taiwan for the period from 2002 to 2004. In the first stage we employ super SBM (super slacks-based measure) to estimate the scores relating bank efficiency including internal risk. In the second stage a stochastic frontier regression model is then employed to estimate the external environment risk effects. In the third stage we employ the DEA method again to estimate the scores relating bank efficiency including the internal risk and excluding the external risk.     

Does bank efficiency matter? Market value relevance of bank efficiency in Australia

The stochastic frontier analysis is employed to investigate efficiency of publicly listed Australian banks over the period 1985 to 2008. The results suggest that technical, cost and profit efficiency of Australian banks have improved over time. Large banks have attained a higher level of cost efficiency but a lower level of technical efficiency compared to small banks. No substantial difference between the two groups is found in terms of profit efficiency. A panel regression of bank stock return on bank efficiency suggests that an improvement in technical, cost or profit efficiency contributes to the market value of a bank. Thus, the shareholder wealth maximization goal is aligned with the goal of maximizing bank efficiency in the Australian context.     

Efficiency and credit rating in Taiwan banking: data envelopment analysis estimation

In this article, we use the data envelopment analysis to measure the efficiency of banks before and after credit rating is taken into consideration and we also employ the Malmquist Productivity Index to measure the total factor productivity changes from 2001 to 2003. The results are as follows: (1) There is a positive relationship between the efficiency scores and credit rating, and thus, the credit rating can be a representative to evaluate the performance and quality of a bank; (2) We use the Wilconxon two-sample test of nonparametric statistic to test the influences of credit rating. The empirical result shows that the credit rating is proven to influence the efficiency of banks; (3) The efficiency scores improve in both investment grade (above tw BBB?) and speculation grade (under tw BBB?), when credit rating is taken into consideration. The empirical results show that the efficiency scores of banks with a high credit rating improved relatively more when compared to banks with a lower credit rating; (4) In this research we also adopt the Malmquist index to observe the productivity and efficiency changes from year to year. We obtain results whereby the improvement of efficiency may be influenced greatly both from pure technical and scale efficiency changes.     

Banking efficiency in transition economies

An increasing share of the banking sector is controlled by foreign capital in the majority of transition countries. To analyse the effects of this trend on the performance of the banking sector in these countries, this study conducts a comparative analysis of the performance of foreign‐owned and domestic‐owned banks operating in the Czech Republic and Poland. We use the stochastic frontier approach to compute cost efficiency scores. Following Mester (1996 ), financial capital is included in the cost frontier model to control for risk preferences. Our finding is that on average foreign‐owned banks are more efficient than domestic‐owned banks. We conclude, however, that this advantage does not result from differences in the scale of operations or the structure of activities.     

The impact of earnings management on the performance of ASEAN banks

Southeast Asian financial liberalization policies have enthused both performance evaluation (a pro) and earnings management (a con). Using a sample of ASEAN commercial banks for the period 2007–2014, this study decomposes their banking performance into managerial and profitability efficiencies. An efficiency analysis reveals that Singaporean banks obtained the highest overall and profitability efficiencies, while Bruneian banks had the lowest rates of banking performance. In the stage of managerial efficiency, the most inefficient banks are those of the Philippines, whereas the greatest level is related to Malaysian banks. A frontier projection analysis suggests that Singaporean banks and Malaysian banks are generally more efficient in managing their expenditures and long-term assets in generating income in the long run. With respect to the con, a regression analysis indicates that loan loss provisions are negatively related to banking performance. Overall, it is advisable that policy makers with oversight function should promote performance evaluation from a multidimensional perspective, and keep an eye on estimates of loan loss provisions at banks over years because increases/decreases in loan loss provisions mean decreases/increases in net income or return on assets.     

Cost metafrontier approach for measuring the Malmquist productivity index: An example of bank groups formed after the financial reform in Taiwan

This study attempts to provide a framework under the variable returns to scale hypothesis to account for the effect of the cost scale efficiency change in the decomposition of the cost metafrontier Malmquist productivity index (CMMPI). In addition, the meta‐cost efficiency and cost frontier gap between subordinate banks of financial holding companies (FHC) and independent banks are also examined. A total of 34 banks in Taiwan are empirically analysed from 1999 to 2012. The results indicate that the meta‐cost efficiency, meta‐technical efficiency and meta‐allocative efficiency scores of subordinate banks of FHC are better than those of independent banks. The banking industry in Taiwan is found to have an improvement in cost metafrontier Malmquist productivity. The subordinate banks of FHC are also found to exhibit positive CMMPI and decomposition components, but do not achieve a significant improvement except in the case of the technical gap ratio change. The empirical results recommend that Taiwanese banks place more policy focus on the issue of scale adjustment, which should be beneficial. Based on the CMMPI decomposed results, we can gain further understanding of the growth path to enhance operational performance.     

Bank efficiency in South‐Eastern Europe

This study examines the cost and profit efficiency of banking sectors in six transition countries of South‐Eastern Europe over the period 1998–2008. Using a stochastic frontier approach, our analysis reveals that the average cost efficiency of South‐Eastern European banks is 68.59 percent, and the average profit efficiency is 53.87 percent. Regressions on the determinants of bank efficiency show that foreign banks are characterized by higher profit efficiency but lower cost efficiency, and government‐owned banks are associated with lower profit efficiency than domestic private banks. However, the efficiency gap between foreign‐, domestic private‐ and government‐owned banks narrows over time. We also find that the market power of a bank has a positive association with both cost and profit efficiency. Institutional development, proxied by progress in banking regulatory reforms, privatization and enterprise corporate governance restructuring, also has a positive impact on bank efficiency.     

Do Listed Banks have Higher Operating Efficiency and Output Efficiency?

This paper investigates the efficiency and productivity of listed and non‐listed banks in China by using the meta‐frontier and GMMPI methods. We find that the improvement in productivity of listed and non‐listed banks is mainly due to changes in technological efficiency. The difference between them is that the improvement of productivity of listed banks presents a typical technology‐driven feature, and changes in scale efficiency negatively affect productivity. The productivity of non‐listed banks shows scale efficiency driving features. The meta‐frontier efficiency of listed banks is significantly higher than the others. After decomposing the technology gap ratio, we find that the current production technology of the listed banks is closer to the potential production technology frontiers, and there is space for the non‐listed banks to improve their efficiency. Besides, the gaps between the true extent and the potential technological frontiers of both listed banks and non‐listed banks have converged.     

Cost-efficiency and financial and geographical characteristics of banking sectors in the MENA countries

We utilize the translog stochastic frontier model to estimate the cost-efficiency levels for conventional and Islamic, Cooperation Council (GCC) and non-GCC banks in the Middle East and North African (MENA) countries. The estimated cost-efficiency averages around 77% for those MENA banks, but with slight changes in this score for the individual countries. The results also show that the banks in the GCC countries are the most efficient in the region and the efficiency scores for the conventional and Islamic banks are similar. Finally, the recent financial crisis seems to have a slight impact on the observed efficiency scores of those banks.     

Conventional and Islamic Banks’ Performance in the Gulf Cooperation Council Countries; Efficiency and Determinants

This paper investigates the cost efficiency levels of the banking sectors of the Gulf Cooperation Council (GCC) countries for the period from 2001 to 2015 and provides a comparison of conventional and Islamic banks. We obtain measures of efficiency using a stochastic frontier model and the meta-frontier approach. The evidence demonstrates that Islamic banks are less efficient and have a weaker level of production technology than conventional banks. The cost efficiency of banks varies significantly across the six Gulf countries and over time. We adopt the results drawn from the meta-frontier model that allow to take into account the differences between the studied countries, and empirically examine the bank-specific, financial, macroeconomic, and political determinants of banking efficiency. The results provide evidence of the differential effects of the selected variables on the efficiency of conventional and Islamic banks. These variables affect the performance of the two types of banks in different ways and with different magnitudes.

     

Maximum entropy: a stochastic frontier approach for electricity distribution regulation

The literature on incentive-based regulation in the electricity sector indicates that the size of this sector in a country constrains the choice of frontier methods as well as the model specification itself to measure economic efficiency of regulated firms. The aim of this study is to propose a stochastic frontier approach with maximum entropy estimation, which is designed to extract information from limited and noisy data with minimal statements on the data generation process. Stochastic frontier analysis with generalized maximum entropy and data envelopment analysis—the latter one has been widely used by national regulators—are applied to a cross-section data on thirteen European electricity distribution companies. Technical efficiency scores and rankings of the distribution companies generated by both approaches are sensitive to model specification. Nevertheless, the stochastic frontier analysis with generalized maximum entropy results indicate that technical efficiency scores have similar distributional properties and these scores as well as the rankings of the companies are not very sensitive to the prior information. In general, the same electricity distribution companies are found to be in the highest and lowest efficient groups, reflecting weak sensitivity to the prior information considered in the estimation procedure.

     

Efficiency in banking: a meta-regression analysis

One learns two main lessons from studying the great quantity of banking efficiency literature. These lessons regard the heterogeneity in results and the absence of a comprehensive review aimed at understanding the reasons for this variability. Surprisingly, although this issue is well-known, it has not been systematically analyzed before. In order to fill this gap, we perform a Meta-Regression-Analysis (MRA) by examining 1661 efficiency scores retrieved from 120 papers published over the period 2000–2014. The meta-regression is estimated by using the Random Effects Multilevel Model (REML) because it controls for within- and between-study heterogeneity. The analysis yields four main results. First, parametric methods yield lower levels of banking efficiency than nonparametric studies. This holds true even after controlling for the approach used in selecting the inputs and outputs of the frontier. Secondly, we show that banking efficiency is highest when using the value-added approach, followed by estimates from studies based on the intermediation method, whereas those based on the hybrid approach are the lowest. Thirdly, efficiency scores are also determined by the quality of studies and the number of observations and variables used in the primary papers. As far as the effects of sample size, dimension and quality of papers are concerned, there are significant differences in sign and magnitude between parametric and nonparametric studies. Finally, cost efficiency is found to be higher than profit efficiency. Interestingly, MRA results are robust to the potential outliers in efficiency and sample size distributions.     

Evaluating Efficiency of Personnel in Nepalese Commercial Banks

The failure of large and reputable banks is creating a potential threat to depositors’ hard-earned money deposited in commercial banks (CBs). Therefore, evaluation of the risk-adjusted efficiency of CBs is crucial. This study evaluates the relative efficiency of CBs personnel with an unbalanced panel dataset of 21 Nepalese CBs based on their remunerations, financial performances, and risky behaviors using data envelopment analysis, the Malmquist productivity index, and simple regression analysis. In the first step analysis, various financial ratios regarding the firm performance were considered. In the second step analysis, efficiency scores estimated in the first step analysis were adjusted by risk variables. The study shows that relatively large banks were exploiting personnel expenses, but smaller-sized banks, recently established banks, and banks with fewer branches gained more efficiency from their size. Personnel efficiency had a positive influence on the market price of stock, but it also increased the volatility of stock prices. Negative growth of both productivity indices (i.e., with and without risk adjustment) suggests poor agency services delivered by personnel and decreasing healthy conduct of Nepalese CBs.     

The comparative efficiency performance of small and large US commercial banks in the pre- and post-deregulation eras

The purposes of this paper are twofold: first, to employ a flexible non-parametric approach to contrast the productive efficiency of a sample of small and large banks in order to examine the relationship between size and productive performance in the banking industry. Second, to investigate whether the relative efficiency performance of small and large banks has changed following the changes in the banking environment in the 1980s and to contrast the rate of technological change achieved by these two groups of banks over this time period. The findings based on group-specific frontiers suggest that in the pre-deregulation environment small banks were more efficient than the large banks while in the deregulated environment small and large banks were equally efficient. Moreover, the dispersion in the efficiency measures of the small banks is found to have increased substantially while that of the large banks changed little over the sample period.     

中国银行业效率的实证分析

中国于 2 0 0 1年 1 2月加入WTO ,5年之后必须对外全面开放国内银行业市场。中国的银行一直以大量不良贷款和效率低下而著称。尽管在逐步改革 ,中国的银行体系仍由国有银行主导并形成垄断控制。怎样提高效率是国内银行尤其是国有商业银行生存和成功的关键。以下两个重要因素可能有助于提高中国的银行效率 :所有制改革和硬预算约束。本文使用了 2 2家银行 1 995— 2 0 0 1年期间的一组数据 ,利用随机前沿生产函数研究了所有制结构和硬预算约束对银行效率的影响。经验结果表明 ,非国有银行比国有银行效率高 1 1 %— 1 8% ;面临硬预算约束的银行的绩效比国家和地方政府投入大量资本的银行好。本文结论的重要意义是 :在加入WTO 3年后的今天 ,中国银行业的改革面临着更为严峻的挑战