IDEAS home Printed from https://ideas.repec.org/a/hur/ijaraf/v5y2015i4p105-110.html
   My bibliography  Save this article

An Assessment Study on the Efficiency of Banks through Data Envelopment Analysis (DEA). Case Study: A Bank Based in Tehran

Author

Listed:
  • Mohammad Ataei
  • Soamayeh Naserian

Abstract

Due to their specific economic conditions, banks and financial institutions in Iran are among the most important economic entities. For that reason, the Iranian economic development involves how those institutions perform their activities. In many developing societies, the capital markets such as banks play, for various reasons, the leading role in financing the medium-term and long-term economic programs. Given the importance of how banks and financial institutions function in Iran, and the current situation where the banking system is surviving the crippling sanctions, it seems crucial to take appropriate measures for evaluating the efficiency of banks. In this study, the technical efficiency was evaluated through the data envelopment analysis (DEA) at One of Bank based in Tehran. This research was conducted on the basis of two input and output factors through the DEA-Solver. The factors were as follow: A) The inputs were the number of employees per branch, the DEA method at each branch, the value of assets for each branch, and the volume of deposits; and b) The outputs were the total facilities granted and the earnings per branch. In this study, any branch scoring 100 was rated as efficient, while the branches under that score were considered inefficient. Given the limitations of other methods and data available, the DEA was employed considering the output-based BCC. The results of assessing the mean technical efficiency assuming the difference between the variable and the scale indicated that the average efficiency of the total of 97 Tehran Branches in three years was about 38% in 2010, 46% in 2011 and 36% in 2012. Furthermore, the mean value for the three years was 36.5%. The results also showed that during the period under study at the output-based mode, an average 90% of Tehran branches were inefficient in 2010. In 2011 and 2012, the figure amounted to 95%, which implies that a great percentage of banks are inefficient. The average values for the entire period was about 92.5%. The principal management in Tehran can achieve the status of full efficiency by adding 64% to outputs without increasing their inputs. In other words, the principal management in Tehran indicated 64% inefficiency of the branch network within the three years assuming the difference between the variable and the scale. According to the results, it can be argued that 7 branches (Commodity Exchange, Headquarters, Vali-eAsr, Jannat Abad, Aghanour, Shahid Motahari and Gheitarieh) attained full efficiency over the study period, whereas the other branches failed to obtain the full efficiency.

Suggested Citation

  • Mohammad Ataei & Soamayeh Naserian, 2015. "An Assessment Study on the Efficiency of Banks through Data Envelopment Analysis (DEA). Case Study: A Bank Based in Tehran," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 105-110, October.
  • Handle: RePEc:hur:ijaraf:v:5:y:2015:i:4:p:105-110
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/Article_13_An_Assessment_Study_on_the_Efficiency_of_Banks.pdf
    Download Restriction: no

    File URL: http://hrmars.com/hrmars_papers/Article_13_An_Assessment_Study_on_the_Efficiency_of_Banks.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Swank, Job, 1996. "Theories of the Banking Firm: A Review of the Literature," Bulletin of Economic Research, Wiley Blackwell, vol. 48(3), pages 173-207, July.
    2. Fama, Eugene F., 1980. "Banking in the theory of finance," Journal of Monetary Economics, Elsevier, vol. 6(1), pages 39-57, January.
    3. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    4. repec:bla:buecrs:v:48:y:1996:i:3:p:173-207:a is not listed on IDEAS
    5. 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.
    6. Jeremy Forster & Sherrill Shaffer, 2005. "Bank efficiency ratios in Latin America," Applied Economics Letters, Taylor & Francis Journals, vol. 12(9), pages 529-532.
    7. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
    8. Avkiran, Necmi K. & Parker, Barnett R., 2010. "Pushing the DEA research envelope," Socio-Economic Planning Sciences, Elsevier, vol. 44(1), pages 1-7, March.
    9. Gattoufi, Said & Oral, Muhittin & Kumar, Ashok & Reisman, Arnold, 2004. "Epistemology of data envelopment analysis and comparison with other fields of OR/MS for relevance to applications," Socio-Economic Planning Sciences, Elsevier, vol. 38(2-3), pages 123-140.
    10. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, 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. Avkiran, Necmi K., 2006. "Developing foreign bank efficiency models for DEA grounded in finance theory," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 275-296, December.
    2. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    3. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    4. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    5. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," European Journal of Operational Research, Elsevier, vol. 259(2), pages 576-586.
    6. Angus Jeang, 2019. "Robust DEA methodology via computer model for conceptual design under uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1221-1245, March.
    7. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    8. Henriques, C.O. & Chavez, J.M. & Gouveia, M.C. & Marcenaro-Gutierrez, O.D., 2022. "Efficiency of secondary schools in Ecuador: A value based DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    9. H Chang & C Galantine & A Thevaranjan, 2009. "Returns to scale pattern and efficient firm size in the public accounting industry: an empirical investigation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1495-1501, November.
    10. Jaroslav Havlíček & Ludmila Dömeová & Luboš Smutka & Helena Řezbová & Lucie Severová & Tomáš Šubrt & Karel Šrédl & Roman Svoboda, 2020. "Efficiency of Pig Production in the Czech Republic and in an International Context," Agriculture, MDPI, vol. 10(12), pages 1-18, December.
    11. Cesaroni, Giovanni, 2020. "Technically and cost-efficient centralized allocations in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    12. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    13. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
    14. Emrouznejad, Ali & De Witte, Kristof, 2010. "COOPER-framework: A unified process for non-parametric projects," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1573-1586, December.
    15. Hsihui Chang & Hiu Choy & Iny Hwang, 2015. "An empirical study of returns to scale of CPA firms in the post SOX era," Annals of Operations Research, Springer, vol. 229(1), pages 253-264, June.
    16. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    17. Henriques, C.O. & Marcenaro-Gutierrez, O.D., 2021. "Efficiency of secondary schools in Portugal: A novel DEA hybrid approach," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    18. Zhao, Yu & Morita, Hiroshi & Maruyama, Yukihiro, 2019. "The measurement of productive performance with consideration for allocative efficiency," Omega, Elsevier, vol. 89(C), pages 21-39.
    19. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "Data envelopment analysis 1978–2010: A citation-based literature survey," Omega, Elsevier, vol. 41(1), pages 3-15.
    20. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.

    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:hur:ijaraf:v:5:y:2015:i:4:p:105-110. 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: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/Accounting-Finance-Journal .

    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.