Abstract
The purpose of this study is to examine the efficiency of the banks in Lithuania by employing the DEA method and evaluate bank performance in a low interest rate environment. The efficiency scores were calculated with a non-parametric frontier input-oriented DEA technique with the variable returns to scale (VRS) and the constant returns to scale (CRS) assumptions. Five alternative models with different input-output combinations were developed, based on production, profitability and intermediation dimensions. The main bank profitability measure—the return on assets (ROA) ratio—was employed to validate the results obtained using the DEA method. The Lithuanian bank’s efficiency analysis based on the VRS assumption shows that better results are demonstrated by the local banks. The technical efficiency analysis based on the CRS assumption shows other results: the banks owned by the Nordic parent group and the branches have higher pure efficiency than local banks and have success at working at the right scale. Based on this, it stated that during the 2012-2016 period the larger Lithuanian banks (subsidiaries) applied a more appropriate business model than smaller (local) banks operating in Lithuania. Additionally, this research contributes to the scholarly literature in the field of determinants of bank business performance in concentrated markets dominated by foreign banks and, in particular, from one region.
Novickytė, L.; Droždz, J. 2018. Measuring the Efficiency in the Lithuanian Banking Sector: The DEA Application. International Journal of Financial Studies. 6(2):1-15 article No 37. doi:10.3390/ijfs6020037 ISSN 2227-7072,eISSN 2227-7072 [DOAJ - Directory of Open Access Journals; EconBiz / ECONIS (Leibniz Information Centre for Economics - ZBW); EconLit (American Economic Association); EconPapers (RePEc); Emerging Sources Citation Index - Web of Science (Clarivate Analytics); Genamics JournalSeek; IDEAS (RePEc); RePEc; Web of Science (Clarivate Analytics)]
Measuring the Efficiency in the Lithuanian Banking Sector: The DEA Application