Katerina Fotova Čiković – University North, Trg dr. Žarka Dolinara 1, 48000 Koprivnica, Croatia
6th International Scientific Conference – EMAN 2022 – Economics and Management: How to Cope With Disrupted Times, Ljubljana, Slovenia, March 24, 2022, SELECTED PAPERS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-58-5, ISSN 2683-4510
This paper aims to survey, identify and present the relevant studies and their findings regarding the efficiency of banking systems in Europe with the application of the Data Envelopment Analysis (DEA) window technique approach. Notwithstanding, another goal is to provide a background on the DEA methodology and present the window technique approach and highlight its strengths and limitations.
This article implements an extensive literature review of studies that employ the WDEA (window DEA) methodology in the efficiency evaluation of European banking. The conducted literature review has surveyed the Scopus, Web of Science (SSCI and SCI papers) and CROSBI (Croatian Scientific Bibliography) databases with „Data Envelopment Analysis“, „Window“ and „Bank“ as keywords for the search, which resulted in a total of 89 hits (41 in Scopus, 47 on WoS and 1 on CROSBI). Thereafter, a manual survey of these studies has been conducted, which eventually resulted in 12 papers regarding the efficiency of European banking. This study identifies all the relevant previous work regarding the efficiency of European banking with the application of WDEA (DEA-window technique) as well as a presentation of their used models, the selected variables and their findings.
This literature review indicates that the surveyed studies have been published in the period between 2007 and 2020 and have included the time frame from 1995 to 2017. The longest study includes 13 years, whereas the shortest includes 3 analysed years.
The findings primarily show the applicability of WDEA in the literature
Data Envelopment Analysis (DEA); Banking; Europe; Efficiency measurement; Non-parametric approach; Window analysis (WA)
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