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Mamdooh Attallah Faihan mmaa.ff@uoanbar.edu.iq


Abstract

Banking sector is one of the most important sectors that witnessed emergence of many private banks in the competitive markets. Therefore, evaluating and improving the efficiency of the banking sector has newly attracted increasing interest. In Iraq, the lack of interest in measuring the efficiency of banking sector by exploiting available resources to produce high level of outputs can be deemed the main issue of banks. This paper aims to measure and analyse the efficiency of banking sector in Iraq using the output-oriented BCC model of data envelopment analysis under variable returns to scale (VRS) technology. The model focuses on the trend of increasing outputs while keeping inputs at their current levels in order to maximise banks’ outputs. To measure efficiency, this paper relies on a dataset of 18 Iraqi banks for the year 2025. The banks have been evaluated in terms of global technical efficiency, pure technical efficiency, scale efficiency, and returns to scale. The results show that, out of 18 evaluated banks, 11 banks achieved efficient status under VRS. The average efficiency score of the efficient and inefficient banks under VRS is 0.899, in which 0.101 of banks are inefficient. Moreover, benchmarks and targets of outputs for each inefficient banks have been identified to improve the production of outputs by identifying their optimum levels.

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How to Cite
Mamdooh Attallah Faihan. (2026). Measuring the performance of the banking sector in Iraq using data envelopment analysis. Tikrit Journal of Administrative and Economic Sciences, 22(75 part 1), 945–957. https://doi.org/10.25130/tjaes.22.75.1.47
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Articles

References

Allen F, Santomero AM, (1997) The theory of financial intermediation. JBank Financ 21(11–12):1461–1485.

Allen F, Santomero AM (2001) What do financial intermediaries do? J Bank Financ 25(2):271–294.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092.

Berger AN, Hanweck GA, HumphreyDB (1987) Competitive viability in banking: scale, scope, and product mix economies. J Monetary Econ 20(3):501–520.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444. https://doi.org/10.1016/0377-2217(78)90138-8.

Fethi MD, Pasiouras F (2010) Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey. Eur J Oper Res 204(2):189–198.

Frisch R (1965) Theory of production. Reidel, Dordrecht.

Hakenes H (2004) Banks as delegated risk managers. J Bank Financ 28(10):2399–2426.

Humphrey DB (1985) Cost and scale economies in bank intermediation. In: Aspinwall RC (ed) Handbook for banking strategy. Wiley, New York, pp 745–783.

Kolari J, Zardkoohi A (1987) Bank costs, structure, and performance. Lexington books, Lexington.

Safi, M. H., & Khlif, H. (2023). The Impact of Financial Inclusion on Banking Stability-An Analytical Study in the Iraqi Banking Sector. American Journal of Applied Statistics and Economics, 2(1), 48–53.

Sealey CW, Lindley JT (1977) Inputs, outputs, and a theory of production and cost at depository financial institutions. J Financ 32(4):1251–1266.

Wang, K., Huang, W., Wu, J., & Liu, Y.-N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5–20.

Wheelock DC, Wilson PW (1995) Evaluating the efficiency of commercial banks: does our view of what banks do matter? Review (July/August), Federal Bank Reserve of St. Louis, pp 39–52.