IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v12y2024i2p37-d1331749.html
   My bibliography  Save this article

Efficiency Assessment and Determinants of Performance: A Study of Jordan’s Banks Using DEA and Tobit Regression

Author

Listed:
  • Rasha Istaiteyeh

    (Department of Economics, Faculty of Business, The Hashemite University, Zarqa 13133, Jordan)

  • Maysa’a Munir Milhem

    (Department of Islamic Economics and Banking, Faculty of Sharia and Islamic Studies, Yarmouk University, Irbid 21163, Jordan)

  • Ahmed Elsayed

    (Independent Researcher, Amman 11931, Jordan)

Abstract

This comprehensive study explored the efficiency landscape of the Jordanian banking industry from 2006 to 2021, utilizing a dual-pronged approach. First, we assessed the efficiency scores of 15 commercial banks, comprising 13 conventional and 2 Islamic institutions, through data envelopment analysis (DEA). Secondly, we investigated the determinants influencing relative efficiency using the Tobit regression model. Our dataset, spanning 240 observations over 16 years, provides a nuanced examination of industry dynamics. DEA, specifically focusing on variable return to scale (VRS), unveils efficiency scores by accounting for scale inefficiencies. The research contributes insights into the operational efficacy of Jordanian banks and provides a robust methodology for understanding efficiency dynamics in the broader financial landscape. The results reveal significant relationships between return on assets, return on equity, GDP growth, and efficiency. Furthermore, it is noteworthy that Islamic banks demonstrate higher efficiency compared to conventional banks. Additionally, non-significant associations were observed with credit risk, bank size, and the ratio of loan loss provision over net income. The findings hold implications for policymakers, industry stakeholders, and researchers aiming to bolster the resilience and competitiveness of Jordan’s banking sector.

Suggested Citation

  • Rasha Istaiteyeh & Maysa’a Munir Milhem & Ahmed Elsayed, 2024. "Efficiency Assessment and Determinants of Performance: A Study of Jordan’s Banks Using DEA and Tobit Regression," Economies, MDPI, vol. 12(2), pages 1-18, February.
    • Handle: RePEc:gam:jecomi:v:12:y:2024:i:2:p:37-:d:1331749
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/12/2/37/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7099/12/2/37/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    4. Maher Hasan & Jemma Dridi, 2011. "The Effects Of The Global Crisis On Islamic And Conventional Banks: A Comparative Study," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 163-200.
    5. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    Full references (including those not matched with items on IDEAS)

    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. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    2. repec:cmj:journl:y:2013:i:27:popovicimc is not listed on IDEAS
    3. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    4. Prakash, Navendu & Singh, Shveta & Sharma, Seema, 2021. "Technological diffusion, banking efficiency and Solow's paradox: A frontier-based parametric and non-parametric analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 534-551.
    5. Samy Ben Naceur & Hichem Ben-Khedhiri & Barbara Casu, 2009. "What Drives the Efficiency of Selected MENA Banks? A Meta-Frontier Analysis," Working Papers 499, Economic Research Forum, revised Aug 2009.
    6. Ioannis Tsolas, 2015. "Firm credit risk evaluation: a series two-stage DEA modeling framework," Annals of Operations Research, Springer, vol. 233(1), pages 483-500, October.
    7. TAHTAMOUNI, Abla S. & ALOMARI, Mohammad W. & BASHAYREH, Ala & ABDELHADI, Samer, 2020. "Jordanian Banking System: Analysis Of Technical Efficiency And Performance," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 24(3), pages 23-40, September.
    8. Abdus Samad, 2021. "Bootstrap DEA Efficiencies of the GCC Islamic Banks: Sources and Comparison During 2014-2016," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 157-166.
    9. Sailesh Tanna & Fotios Pasiouras & Matthias Nnadi, 2011. "The Effect of Board Size and Composition on the Efficiency of UK Banks," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 18(3), pages 441-462, November.
    10. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    11. Sambracos, Evangelos & Maniati, Marina, 2015. "Technical Efficiency of Shipping Banks: A DEA Approach," MPRA Paper 63131, University Library of Munich, Germany.
    12. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.
    13. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    14. Mihăiță-Cosmin M. POPOVICI, 2013. "A Survey On Bank Efficiency Research With Data Envelopment Analysis And Stochastic Frontier Analysis," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 1, pages 134-142, June.
    15. Abdus Samad & Mohammad Ashraful Ferdous Chowdhury, 2019. "Comparative Bootstrap DEA Technical Efficiencies and Determinant Factors: Evidence From the Islamic Banks of Bahrain and United Arab Emirates," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 291-308, December.
    16. Simona Alfiero & Laura Broccardo & Massimo Cane & Alfredo Esposito, 2018. "High Performance Through Innovation Process Management in SMEs. Evidence from the Italian wine sector," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 87-110.
    17. H Fukuyama & W L Weber, 2009. "Estimating indirect allocative inefficiency and productivity change," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1594-1608, November.
    18. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    19. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2007. "Consolidation and efficiency: Evidence from non-bank financial institutions in Malaysia," MPRA Paper 12128, University Library of Munich, Germany, revised 01 May 2007.
    20. Fadzlan Sufian & Fakarudin Kamarudin, 2014. "The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.
    21. Nguyen, Bao Hoang & Simar, Léopold & Zelenyuk, Valentin, 2022. "Data sharpening for improving central limit theorem approximations for data envelopment analysis–type efficiency estimators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1469-1480.

    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:jecomi:v:12:y:2024:i:2:p:37-:d:1331749. 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.