<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>The important role of the banking sector in the economic development of the country imposes the need for continuous measurement and monitoring of bank efficiency. Besides, identifying industry-specific and macroeconomic factors that affect the achieved efficiency is an important task in order to detect potential disruptions, as well as to provide adequate guidelines to improve the efficiency. Therefore, the main goal of this paper is to quantify the achieved efficiency and uncover its determinants. The study is conducted in two stages. In the first stage, using the DEA method, the efficiency of banks for the period from 2005 to 2022 will be assessed, while in the second stage, the factors of efficiency will be determined by applying Tobit regression. The results indicate that when it comes to industry-specific factors, greater market concentration unfavourably affects the efficiency of banks. Regarding the macroeconomic factors, the growth of gross domestic product, inflation rate and global financial crisis have a significant influence on the achieved level of bank efficiency in the Republic of Serbia. In addition to expanding the existing knowledge on quantification of efficiency and defining the determinants of efficiency on the example of banks in the Republic of Serbia, the results in this paper also hold relevance to policymakers and practitioners.</p>
</abstract>

The important role of the banking sector in the economic development of the country imposes the need for continuous measurement and monitoring of bank efficiency. Besides, identifying industry-specific and macroeconomic factors that affect the achieved efficiency is an important task in order to detect potential disruptions, as well as to provide adequate guidelines to improve the efficiency. Therefore, the main goal of this paper is to quantify the achieved efficiency and uncover its determinants. The study is conducted in two stages. In the first stage, using the DEA method, the efficiency of banks for the period from 2005 to 2022 will be assessed, while in the second stage, the factors of efficiency will be determined by applying Tobit regression. The results indicate that when it comes to industry-specific factors, greater market concentration unfavourably affects the efficiency of banks. Regarding the macroeconomic factors, the growth of gross domestic product, inflation rate and global financial crisis have a significant influence on the achieved level of bank efficiency in the Republic of Serbia. In addition to expanding the existing knowledge on quantification of efficiency and defining the determinants of efficiency on the example of banks in the Republic of Serbia, the results in this paper also hold relevance to policymakers and practitioners.

On the Determinants of the Bank Efficiency in the Republic of Serbia: Two-Stage Dea Approach

Economic Themes

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The important role of the banking sector in the economic development of the country imposes the need for continuous measurement and monitoring of bank...

On the Determinants of the Bank Efficiency in the Republic of Serbia: Two-Stage Dea Approach

Publié en ligne: 14 sept. 2023

Pages: 215 - 233

Reçu: 22 mars 2023

Accepté: 20 juin 2023

DOI: https://doi.org/10.2478/ethemes-2023-0011

Mots clés
Data Envelopment Analysis, intermediation approach, Tobit regression, industry-specific factors, macroeconomic factors

© 2023 Ivana Marjanović et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

On the Determinants of the Bank Efficiency in the Republic of Serbia: Two-Stage Dea Approach

Publié en ligne: 14 sept. 2023

Pages: 215 - 233

Reçu: 22 mars 2023

Accepté: 20 juin 2023

DOI: https://doi.org/10.2478/ethemes-2023-0011

Mots clésData Envelopment Analysis, intermediation approach, Tobit regression, industry-specific factors, macroeconomic factors

© 2023 Ivana Marjanović et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Data Envelopment Analysis, intermediation approach, Tobit regression, industry-specific factors, macroeconomic factors