IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i2p978-d725774.html
   My bibliography  Save this article

External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries

Author

Listed:
  • Nada Milenković

    (Faculty of Economics in Subotica, University of Novi Sad, 24000 Subotica, Serbia)

  • Boris Radovanov

    (Faculty of Economics in Subotica, University of Novi Sad, 24000 Subotica, Serbia)

  • Branimir Kalaš

    (Faculty of Economics in Subotica, University of Novi Sad, 24000 Subotica, Serbia)

  • Aleksandra Marcikić Horvat

    (Faculty of Economics in Subotica, University of Novi Sad, 24000 Subotica, Serbia)

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 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.

Suggested Citation

  • Nada Milenković & Boris Radovanov & Branimir Kalaš & Aleksandra Marcikić Horvat, 2022. "External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:978-:d:725774
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/2/978/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/2/978/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Xiaogang & Skully, Michael & Brown, Kym, 2005. "Banking efficiency in China: Application of DEA to pre- and post-deregulation eras: 1993-2000," China Economic Review, Elsevier, vol. 16(3), pages 229-245.
    2. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    3. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aleksandra Marcikić Horvat & Nada Milenković & Branislav Dudić & Branimir Kalaš & Boris Radovanov & Alexandra Mittelman, 2022. "Evaluating Bank Efficiency in the West Balkan Countries Using Data Envelopment Analysis," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    2. Min Li & Nan Zhu & Kai He & Minghui Li, 2022. "Operational Efficiency Evaluation of Chinese Internet Banks: Two-Stage Network DEA Approach," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    3. Clement Olalekan Olaniyi & Titus Ayobami Ojeyinka & Xuan Vinh Vo & Mamdouh Abdulaziz Saleh Al‐Faryan, 2023. "Do business strategies vary across firms in the banking industry? New perspectives from the bank size–profitability nexus," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 525-544, January.
    4. Boris Radovanov & Nada Milenković & Branimir Kalaš & Aleksandra Marcikić Horvat, 2023. "Do the Same Determinants Affect Banks’ Profitability and Liquidity? Evidence from West Balkan Countries Using a Panel Data Regression Analysis," Mathematics, MDPI, vol. 11(19), pages 1-20, September.
    5. So Young Sohn & Yonghan Ju, 2023. "Mission Efficiency Analysis of For-Profit Microfinance Institutions with Categorical Output Variables," Sustainability, MDPI, vol. 15(3), pages 1-12, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    2. Qian Wang & Xiaochu Feng, 2014. "Does Property Rights Reform Improve the Efficiency of China's State-owned Banks?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(4), pages 1-20, July.
    3. Ramiz ur Rehman & Junrui Zhang & Muhammad Akram Naseem & Muhammad Ishfaq Ahmed & Rizwan Ali, 2021. "Board independence and Chinese banking efficiency: a moderating role of ownership restructuring," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 517-536, September.
    4. Chen, Xiang & Wu, Xin, 2020. "What factor contributes to productivity growth of Chinese city banks: The role of regional difference," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Paul W. Wilson & Shirong Zhao, 2023. "Investigating the performance of Chinese banks over 2007–2014," Annals of Operations Research, Springer, vol. 321(1), pages 663-692, February.
    6. Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    7. Carlos P. Barros & Qi Bin Liang & Nicolas Peypoch, 2014. "Technical Efficiency in the Angolan Banking Sector with the B-convexity Model," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 443-454, September.
    8. Chang, Tzu-Pu & Hu, Jin-Li & Chou, Ray Yeutien & Sun, Lei, 2012. "The sources of bank productivity growth in China during 2002–2009: A disaggregation view," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1997-2006.
    9. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    10. Carlos Barros & Hidemichi Fujii & Shunsuke Managi, 2015. "How scale and ownership are related to financial performance? A productivity analysis of the Chinese banking sector," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    11. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.
    12. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    13. Kok Fong See & Yong He, 2015. "Determinants of Technical Efficiency in Chinese Banking: A Double Bootstrap Data Envelopment Analysis Approach," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 286-307, September.
    14. Aleksandra Marcikić Horvat & Nada Milenković & Branislav Dudić & Branimir Kalaš & Boris Radovanov & Alexandra Mittelman, 2022. "Evaluating Bank Efficiency in the West Balkan Countries Using Data Envelopment Analysis," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    15. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    16. Ho, Chun-Yu, 2012. "Market structure, welfare, and banking reform in China," Journal of Comparative Economics, Elsevier, vol. 40(2), pages 291-313.
    17. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    18. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    19. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    20. Simar, Leopold & Wilson, Paul, 2018. "Technical, Allocative and Overall Efficiency: Inference and Hypothesis Testing," LIDAM Discussion Papers ISBA 2018018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:978-:d:725774. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.