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Data envelopment analysis: a tool of measuring efficiency in banking sector

Mohamed Othman, Filzah and Mohd. Zamil, Nor Aiza and Abdul Rasid, Siti Zaleha and Vakilbashi, Amin and Mokhber, Mozhdeh (2016) Data envelopment analysis: a tool of measuring efficiency in banking sector. International Journal of Economics and Financial Issues, 6 (3). pp. 911-916. ISSN 2146-4138

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Abstract

The present paper examined the review of literature related to measuring relative efficiency of banks using data envelopment analysis (DEA). The efficiency of banks is measure through the ability of the individual bank to maximise output given a certain level of input. By measuring its efficiency, it can serves as early warning or benchmark of its performance and it can define future improvement in various area such as managerial, technology or socio-economic. DEA is comprises of two basic model that are DEA Charnes-Cooper-Rhodes model with constant return to scale assumption and DEA Banker-Charnes-Cooper model with variable return to scale assumption. In banking industry, DEA is using two approaches that are production or intermediation approach. The former highlights banks as delivering services in the form of transaction and the later assumes banks intermediate funds between surplus units to deficit unit. The study of efficiency in banks with similar economic and political condition is important as banks operate in parallel.

Item Type:Article
Additional Information:Available in SCOPUS
Subjects:H Social Sciences > HG Finance
Divisions:Business and Advances Technology (Formerly known)
ID Code:69124
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Nov 2017 13:03
Last Modified:20 Nov 2017 16:52

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