scholarly journals The Cost Efficiency of the Brazilian Electricity Distribution Utilities: A Comparison of Bayesian SFA and DEA Models

2010 ◽  
Vol 2010 ◽  
pp. 1-20 ◽  
Author(s):  
Marcus Vinicius Pereira de Souza ◽  
Madiagne Diallo ◽  
Reinaldo Castro Souza ◽  
Tara Keshar Nanda Baidya

The purpose of this study is to evaluate the efficiency indices for 60 Brazilian electricity distribution utilities. These scores are obtained by DEA (Data Envelopment Analysis) and Bayesian Stochastic Frontier Analysis models, two techniques that can reduce the information asymmetry and improve the regulator's skill to compare the performance of the utilities, a fundamental aspect in incentive regulation schemes. In addition, this paper also addresses the problem of identifying outliers and influential observations in deterministic nonparametric DEA models.

2020 ◽  
Vol 22 (2) ◽  
pp. 209-227
Author(s):  
Phong Hoang Nguyen ◽  
Duyen Thi Bich Pham

PurposeThe paper aims to enrich previous findings for an emerging banking industry such as Vietnam, reporting the difference between the parametric and nonparametric methods when measuring cost efficiency. The purpose of the study is to assess the consistency in issuing policies to improve the cost efficiency of Vietnamese commercial banks.Design/methodology/approachThe cost efficiency of banks is assessed through the data envelopment analysis (DEA) and the stochastic frontier analysis (SFA). Next, five tests are conducted in succession to analyze the differences in cost efficiency measured by these two methods, including the distribution, the rankings, the identification of the best and worst banks, the time consistency and the determinants of efficiency frontier. The data are collected from the annual financial statements of Vietnamese banks during 2005–2017.FindingsThe results show that the cost efficiency obtained under the SFA models is more consistent than under the DEA models. However, the DEA-based efficiency scores are more similar in ranking order and stability over time. The inconsistency in efficiency characteristics under two different methods reminds policy makers and bank administrators to compare and select the appropriate efficiency frontier measure for each stage and specific economic conditions.Originality/valueThis paper shows the need to control for heterogeneity over banking groups and time as well as for random noise and outliers when measuring the cost efficiency.


2017 ◽  
Vol 29 (2) ◽  
pp. 171-182 ◽  
Author(s):  
Thanh Ngo ◽  
David Tripe

Purpose This paper aims to examine alternative methods for treating nonperforming loans (NPLs) in bank cost-efficiency studies using stochastic frontier analysis (SFA). Design/methodology/approach The authors consider three methods of treating NPLs in SFA: as an additional control variable, as an environmental factor or as a deduction from total loans. Using data from the Vietnamese banking system (2003-2010), the authors then compare these results with those of the base model (where total loans is used regardless of the NPLs) to see which one is more appropriate for this study. Findings The authors observed that the first two methods are inappropriate for the analysis: one cannot find the significant relationship between NPLs and the banks’ total cost, and the other cannot account for any inefficiency at all. The authors suggested that the third method of separating NPLs from total loans can provide better insights. Using the proposed method, the authors showed that the cost-efficiency of Vietnamese banks over the period examined was moderate with a slight decreasing trend. When NPLs are separated, the cost-efficiency decreases in state-owned banks and big banks, whereas it increases in small and private banks. Research limitations/implications Research is limited to Vietnamese banks during a certain period, and it would be useful to apply the same technique to other data sets. Practical implications The paper suggests a new approach to account for NPLs in cost SFA studies in banking. Originality/value The paper provides a much more searching analysis of NPLs in banking than has generally been seen in previous research.


2017 ◽  
pp. 1-30 ◽  
Author(s):  
THANH PHAM THIEN NGUYEN ◽  
SON HONG NGHIEM

Given considerable changes in the Vietnamese banking environment brought about by significant reforms towards liberalization during the last two decades, this study investigates the evolution of competition and efficiency, compares the competition and efficiency of state-owned banks to joint-stock banks, and then tests the “quiet life” hypothesis in this industry over the period 2000–2014. This study employs the efficiency-adjusted Lerner index (i.e., market power) to capture competition, and the cost efficiency estimated by a Fourier-flexible function stochastic frontier analysis (SFA) to capture bank efficiency. This study firstly finds a slight improvement of competition and cost efficiency in the Vietnamese banking sector over the analysis period. Secondly, there are no significant differences in competition and cost efficiency level between state-owned and joint-stock banks. Thirdly, a positive causality running from competition to cost efficiency is documented, providing evidence of supporting the “quiet life” hypothesis. Finally, positive efficiency effects of the banks’ capital ratio and size are found, while insignificant impacts of the growth of GDP per capita and 2007 global financial crisis were observed. The results are strongly robust to a variety of tests. The findings suggest pro-competition, pro-capitalization and pro-size expansion policies in the Vietnamese banking sector if targeting at improving the cost efficiency of Vietnamese banks.


2020 ◽  
Vol 47 (7) ◽  
pp. 1787-1810
Author(s):  
Kekoura Sakouvogui

PurposeThe consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while accounting for the yearly variation in banks.Design/methodology/approachDue to the importance of efficiency measures for policy and managerial decision-making, the cost efficiency measures of SFA and DEA estimators are examined according to four criteria: levels, rankings, stability over time and stability over clustering groups. In this paper, we present two clustering methods, Gap Statistic and Dindex, that involve SFA and DEA cost efficiency measures. The clustering approach creates homogeneous groups of banks offering a similar mix of efficiency levels. Hence, each evaluated bank knows the cluster to which it belongs. Furthermore, this paper provides nonparametric statistical tests of SFA and DEA cost efficiency measures estimated with and without a clustering approach.FindingsThe results suggest that the clustering approach plays a considerable role in the rankings of US banks. Furthermore, the average SFA and DEA cost efficiency measures over time of the homogeneous US banks are substantially higher than those of the heterogeneous US banks.Originality/valueThis research is the first to provide comparative efficiency measures needed for desirable policy conclusions of heterogeneous and homogeneous US banks.


2019 ◽  
Vol 20 (4) ◽  
pp. 305-318
Author(s):  
Alberto Ansuategi ◽  
Ibon Galarraga ◽  
Luis Orea ◽  
Thomas Standfuss

The Single European Sky (SES) legislation is intended to have a major impact on the fragmentation in the European Air Traffic Management and Communications, Navigation and Surveillance (ATM/CNS) system. A fundamental aspect of the SES initiative is functional airspace blocks (FABs), which have the goal of reducing the inefficiencies—in terms of safety, capacity, and cost—that result from the fragmentation of European airspace. FABs are seen as an explicit bottom-up first step toward the ultimate integration of European airspace. In this article, we focus on the analysis of the evolution of the cost-effectiveness in the provision of ATM/CNS services at FABs. We proceed in two stages. First, we develop a theoretical framework that allows us to decompose the change in cost-effectiveness of FABs into its basic sources. Second, we use stochastic frontier analysis techniques to estimate the cost equations and decompose the change in the cost-effectiveness of the nine European FABs into several components. Our analysis sheds light on (1) the drivers of changes in the air navigation service providers (ANSPs) and FABs cost-effectiveness from 2006 to 2016, (2) the role that FABs play in enhancing cooperation between ANSPs to obtain operational efficiency gains, and (3) the existence of economies of scale in the European ATM/CNS service provision.


2019 ◽  
Vol 11 (3(J)) ◽  
pp. 48-57
Author(s):  
Sanderson Abel ◽  
Alex Bara ◽  
Pierre Le Roux

The study seeks to assess the cost efficiency of the commercial banks in Zimbabwe using the stochastic frontier analysis. The cost efficiency of the Zimbabwean banks is estimated using the trans-log stochastic frontier approach. The Stochastic Frontier Analysis methodology is among the host of methods that has been used to measure banking sector efficiency. The analysis of cost efficiency of commercial banks has important implications for the economy since an efficient banking system has potential to reduce interest rates which can lead to increased investment and growth for the economy. The cost of doing business in Zimbabwe is perceived to be high hence improved bank efficiency has the potential to reduce the cost of doing business. The average cost efficiency scores for the Zimbabwean banks over the study period show that the banking sector in Zimbabwe experiencing 17 percent inefficiency. The efficiency levels have been declining over the years reflecting increased resource wastage in the system. The study recommends that the banking institutions should continue to innovate so as to reduce their inefficiencies.


2017 ◽  
Vol 4 (4) ◽  
pp. 32 ◽  
Author(s):  
Mustapha A. Akinkunmi

This study employs a panel dataset on the cost efficiency of Nigerian commercial banks to test the hypothesis whether internal regulation from the monetary authority affects the performance of commercial banks. The empirical work is carried out through the use of stochastic frontier analysis on 14 commercial banks over 10 years. The study finds that regulation has a negative and significant influence on the total cost while bank output, input prices and bank size have a positive and significant effect. This implies that the large the bank size, the higher total cost incurred.


Author(s):  
Gustavo Ferro ◽  
Daniel Lema ◽  
Francisco Schiffrer

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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