文章基本信息

标题：Data Envelopment Analysis: A Tool of Measuring Efficiency in Banking Sector
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作者：Filzah Mohamed Othman ; Nor Aiza Mohd-Zamil ; Siti Zaleha Abdul Rasid 等
期刊名称：International Journal of Economics and Financial Issues
电子版ISSN：2146-4138
出版年度：2016
卷号：6
期号：3
页码：911-916
语种：English
出版社：EconJournals
摘要：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 CCR (Charnes-Cooper-Rhodes) Model with constant return to scale (CRS) assumption and DEA BCC (Banker-Charnes-Cooper) Model with variable return to scale (VRS) 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. Keywords : Data Envelopment Analysis (DEA), Efficiency, Banking JEL Classifications : G2, M2, M4
其他摘要：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 CCR (Charnes-Cooper-Rhodes) Model with constant return to scale (CRS) assumption and DEA BCC (Banker-Charnes-Cooper) Model with variable return to scale (VRS) 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. Keywords : Data Envelopment Analysis (DEA), Efficiency, Banking JEL Classifications : G2, M2, M4