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Data Envelopment Analysis for the Sustainability of Banking, Stock Market and Service Industry

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 4568

Special Issue Editors


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Guest Editor
The Graduate Institute of Sport, Leisure and Hospitality Management, National Taiwan Normal University, Taipei, Taiwan
Interests: DEA; performance assessment; business scorecard
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Leisure Industry and Health Promotion, National Ilan University, Yilan, Taiwan
Interests: tourism economics; hotel and restaurant efficiency; sustainability

Special Issue Information

Dear Colleagues,

Data Envelopment Analysis (DEA) has been developed for more than 30 years, since 1978. The industry types of DEA applications focus range from traditional industries to contemporary industries (Liu, Lu, Lu  and Lin, 2013). Energy, industry, banking, education and healthcare, including hospitals, are the most popular application areas (Emrouznejad & Yang, 2018). This Special Issue focuses on measurement  of the efficiency and sustainability of service industries. There are various studies, ranging from methodology developments to empirical research on the manufacturing and service industries. However, the trend to combine performance measurement and sustainability using the DEA model is still increasing. Methodology development and application research are welcome. This Special Issue seeks sustainable and innovative applications using the DEA model in the service industry, including banking, retailing and tourism sectors, as well as research works that address the integration of performance development and sustainability. Systemic literature reviews of DEA development in the service industry are also welcome.

Authors should clearly identify the gap of knowledge and the novelty of their work as well as highlighting the main relevance of the research outcomes.

This Special Issue  invites scholars from all service research areas to submit their manuscripts shedding light on DEA methodology and applications.

Liu, J. S., Lu, L. Y., Lu, W. M. and Lin, B. J. (2013). A survey of DEA applications. Omega41(5), 893-902.

Emrouznejad, A. and Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-economic planning sciences61, 4-8.

Prof. Dr. Chin Yi (Fred) Fang
Prof. Dr. Chi-Yo Huang
Dr. Chia-Ning Chiu
Guest Editors

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Keywords

  • data envelopment analysis (DEA)
  • sustainable
  • service

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Published Papers (1 paper)

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Research

16 pages, 737 KiB  
Article
External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries
by Nada Milenković, Boris Radovanov, Branimir Kalaš and Aleksandra Marcikić Horvat
Sustainability 2022, 14(2), 978; https://doi.org/10.3390/su14020978 - 16 Jan 2022
Cited by 29 | Viewed by 3578
Abstract
Since the beginning of the application of the Data Envelopment Analysis (DEA) model in various areas of the economy, it has found its wide application in the field of finance, more specifically banks, in the last few years. The focus of this research [...] Read more.
Since the beginning of the application of the Data Envelopment Analysis (DEA) model in various areas of the economy, it has found its wide application in the field of finance, more specifically banks, in the last few years. The focus of this research was to determine the sustainability of the intermediate function of banks, especially in recent years when interest rates on deposits have been at a minimum level. The research was divided into two parts, wherein the first part determined the efficiency of the intermediate function of banks in the countries of the Western Balkans in the period from 2015 to 2019. The second part approached the regression analysis in which we determined the influence of the bank size, type of bank, and mergers and acquisitions (M&A) activity on the defined efficiency. In the first stage we applied the output-oriented DEA model using deposits, labor costs, and capital as input variables; on the other side, we used loans and investments as output variables. We used data from the revised financial statements of the banks operating in Serbia, Bosnia and Herzegovina, Montenegro, North Macedonia, and Albania. The results of our study showed that there is a difference in efficiency levels between countries and within countries in the considered time period. Furthermore, Tobit regression analysis showed a significant and negative influence of the bank type and M&A on relative technical efficiency of banks, and a positive and significant relationship between bank size and relative efficiency. These findings suggest that large commercial banks can sustain on the West Balkan market. It is to be expected that less efficient small banks will be taken over by large and more efficient banks. Full article
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