Efficiency in the Brazilian banking system using data envelopment analysis

Henriques, Iago Cotrim; Sobreiro, Vinícius Amorim; Kimura, Herbert; Mariano, Enzo Barbério

doi:10.1016/j.fbj.2018.05.001

Cited by 68 publications

(63 citation statements)

References 52 publications

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“…Earlier researchers put their concentration on the banks' efficiency in advanced economies (Girardone et al 2004;Henriques et al 2018;Pervez et al 2018). However, recently, some of the researchers are focusing on the efficiency of the banking system in the developing countries (Banna et al 2017;Parinduri and Riyanto 2014;Tamatam et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Corporate governance and banks’ productivity: evidence from the banking industry in Bangladesh

Rashid

Zobair

Chowdhury

et al. 2020

Bus Res

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Though remarkable literature exploring productivity and efficiency has emerged since the last half of the previous century, but dearth studies have been found in showing the impact of corporate governance on banks' productivity. The study aims to investigate the banks' productivity and its relationship with corporate governance. For this purpose, the study examines the productivity of 30 listed banks of Bangladesh deploying a Malmquist Productivity Index (an extension of Data Envelopment Analysis) with a panel data covering the period of five years from 2013 to 2017. The empirical results show that the average productivity of the banks is 1.03%. Finally, the ordinary least square (OLS), fixed effect (FE), and random effect (RE) regression were run separately. The research outcomes show that the productivity of the Bangladeshi banks is significantly influenced by financial performance, ownership structure, and board characteristics. The study provides the researchers, academicians, management of the banks, and regulatory body a new insight of how corporate governance influences the banks' productivity so that they can formulate a better policy to generate more productivity.

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Section: Introductionmentioning

confidence: 99%

Corporate governance and banks’ productivity: evidence from the banking industry in Bangladesh

Rashid

Zobair

Chowdhury

et al. 2020

Bus Res

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“…While input oriented models try to achieve efficiency by minimising inputs, keeping output constant, the output-oriented model maximises the output with constant amount of input. Following studies done by Schaffnit et al (1997) (as cited in Henriques, Sobreiro, Kimura, & Mariano, 2018, p. 167), we have adopted an input-oriented BCC model. The rationale behind is that the banks generally have no control over the levels of service demanded by their customers.…”

Section: Methodsologymentioning

confidence: 99%

Banking Efficiency Determinants in India: A Two-stage Analysis

Goswami¹,

Hussain

Kumar

2019

Margin: The Journal of Applied Economic Research

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This study aims at measuring the technical efficiency of banks in India and examining its determinants. Efficiency is said to be achieved if a bank is able to maximise its output subject to limited inputs. To obtain technical efficiency score, input-oriented Malmquist Data Envelopment Analysis is applied on two outputs and three input variables, based on a VRS (variable returns to scale) assumption. Three foreign banks—namely, A B Bank Ltd, Bank of Ceylon, and Citibank N A—and two Indian banks—namely, HDFC Bank and State Bank of India—are found to be most efficient during the study period. The efficiency scores when subsequently used as the dependent variable along with independent variables—bank size, capitalisation, liquidity risk, returns on assets, interest rate, credit risk, market concentration and gross domestic product (GDP)—in a panel regression analysis found the fixed effect model to be more appropriate in explaining the determinants. The results reveal that liquidity risk, returns on assets, credit risk, market concentration and GDP have a significant effect on the technical efficiency, while banks size, interest rate and level of capitalisation are found to be insignificant variables. JEL Classification: G21, C13, C60

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“…They suggested that the multidimensional approach could be effective when individual methods provide contradictory results. 3) In [32], Authors, use DEA (CCR and BCC) models to evaluate the technical efficiency (TE), Pure Technical Efficiency (PTE) and Scale Efficiency (SE) of 37 Brazilian banks for the period March 2012 -March 2016.They select input output variables using intermediation approach. They also focus on the how and what can done to make inefficient bank, an efficient one.…”

Section: Dea Applications Papers In Banking Sector Publish In Yearmentioning

confidence: 99%

Data Envelopment Analysis Recent Applications in Banking Sector: A Survey

Kumari¹

2019

IJRASET

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The present study review and surveys the number of research papers based on the applications of Data Envelopment Analysis (DEA) in the banking sector. This study focus on the development of DEA application only in the banking sector and includes the papers from 2016 to 2019, which published in reputed journals. Data envelopment analysis is one of the most effective and popular methods applied to measuring efficiency of banking sector. The author made a search for DEA application in banking industry related papers in Google Scholar database. The number of papers I get is rather impressive. I select the recent papers on DEA application.

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Efficiency in the Brazilian banking system using data envelopment analysis

Cited by 68 publications

References 52 publications

Corporate governance and banks’ productivity: evidence from the banking industry in Bangladesh

Corporate governance and banks’ productivity: evidence from the banking industry in Bangladesh

Banking Efficiency Determinants in India: A Two-stage Analysis

Data Envelopment Analysis Recent Applications in Banking Sector: A Survey

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