2019
DOI: 10.5755/j01.ee.30.4.19291
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Efficiency of banks in Malaysia: A super efficiency approach

Abstract: The stability of the economic system of a country very much depends on its banking industry. Data Envelopment Analysis (DEA) has been applied widely for measuring efficiency of banks. Limited studies, however, have employed the radial and non-radial DEA models to evaluate efficiency of banks without considering the ranking of the fully efficient banks since those banks have the same efficiency score. Considering the weakness of the radial and non-radial DEA, this paper aims to calculate the banks efficiency of… Show more

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Cited by 9 publications
(3 citation statements)
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References 36 publications
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“…To rank the efficient DMUs obtained from the SBM model, Tone (2002) proposed an SE-SBM model, whose basic concept is based on the super efficiency radial model proposed by Andersen and Petersen (1993). The model excludes each efficient DMU from its reference set of the SBM model to calculate its input increases (i.e., input savings) and/or its output decreases (i.e., output surpluses) (Kasim et al, 2019;Taleb et al, 2018).…”
Section: IImentioning
confidence: 99%
“…To rank the efficient DMUs obtained from the SBM model, Tone (2002) proposed an SE-SBM model, whose basic concept is based on the super efficiency radial model proposed by Andersen and Petersen (1993). The model excludes each efficient DMU from its reference set of the SBM model to calculate its input increases (i.e., input savings) and/or its output decreases (i.e., output surpluses) (Kasim et al, 2019;Taleb et al, 2018).…”
Section: IImentioning
confidence: 99%
“…A detailed analysis of scientific papers characterizing the features of the development of financial and economic relations showed the dependence of the development of banking innovations on the following factors: economic conditions, the emergence of digital currencies and their use as an alternative to fiat money (Knezevic, 2018;Nikic, 2018), the digitization of various spheres of public life (Cwiklicki & Wojnarowska, 2020;Petroye et al, 2020), the competition in the banking service market (Skvarciany et al, 2018;Aldomy et al, 2020), sufficient financial resources (Leonov et al, 2014), trust in the domestic participants of the banking system (Brychko et al, 2019(Brychko et al, , 2020, the efficiency of banks (Kasim et al, 2019;Boďa & Zimkova, 2019), business transparency (Vasilyeva et al, 2017). Structural modelling (Prayitno et al, 2021) and regression analysis (Vasilyeva et al, 2014b) are used to determine the correlation degree between banking development indicators.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, a scholar used panel data analysis to study the relationship between EC intensity, energy price indicators, labor force, and GDP, and thus obtained the relationship between energy and economy. And found that there is no obvious relationship between GDP and short-term EC [1]. A certain scholar used an econometric model to study the impact of(TIO) technological progress on EI earlier, but since the selected data was before the oil price shock, it was concluded that price-induced innovation would increase EC instead.…”
Section: Introductionmentioning
confidence: 99%