O‘zbek banklarining xarajatlar samaradorligini stoxastik chegara modelida baholash

O‘zbek banklarining xarajatlar samaradorligini stoxastik chegara modelida baholash

Authors

  • Sherzod Xannayev

DOI:

https://doi.org/10.5281/zenodo.16910439

Keywords:

xarajatlar, samaradorlik, stoxastik chegara modeli, O‘zbek banklari

Abstract

Ushbu tahlil 1999–2023-yillar davrida O‘zbekiston tijorat banklarining xarajat va foyda samaradorligini
stoxastik chegara tahlili asosida baholash va natijalardan kelib chiqqan holda amaliy iqtisodiy siyosat uchun tavsiyalar
ishlab chiqishga qaratilgan. Tahlil natijalariga ko‘ra, o‘rtacha xarajat samaradorligi 63,5% ni tashkil etdi. Davlat banklari
eng past samaradorlik ko‘rsatkichiga ega bo‘lib (57,1%), 2017-yilda boshlangan keng ko‘lamli islohotlardan so‘ng
o‘sish tendensiyasi kuzatilgan. Xususiy banklar eng yuqori o‘rtacha xarajat samaradorlikka (67%) ega bo‘lsa-da, ularda
samaradorlikning tebranuvchanligi yuqori bo‘lib, barqarorlik muammosi mavjud. Foyda samaradorligi o‘rtacha 25,5% ni
tashkil qilib, xarajat samaradorligiga nisbatan ancha past darajada. Global moliyaviy inqiroz (2008–2009) va pandemiya
(2020–2021) davrlarida har ikki turdagi samaradorlik pasaygan. 2017-yildan keyingi liberal islohotlar samaradorlikni
oshirgan bo‘lsa-da, tashqi shoklarga ta’sirchanlik ham ortishi kuzatilgan

Author Biography

Sherzod Xannayev


PhD, Tashkent International University

References

1. A. Micco, U. Panizza, and M. Yañez, “Bank ownership and performance. Does politics matter?,” J Bank Financ, vol. 31,

no. 1, pp. 219–241, Jan. 2007, doi: 10.1016/J.JBANKFIN.2006.02.007.

2. P. Molyneux, Bank performance, risk and firm financing. Springer, 2011.

3. J. P. Bonin, I. Hasan, and P. Wachtel, “Bank performance, efficiency and ownership in transition countries,” J Bank

Financ, vol. 29, no. 1, pp. 31–53, 2005.

4. W. W. Cooper, L. M. Seiford, and K. Tone, Data envelopment analysis: A comprehensive text with models, applications,

references and DEA-solver software: Second edition. 2007. doi: 10.1007/978-0-387-45283-8.

5. H. Fukuyama and R. Matousek, “Modelling bank performance: A network DEA approach,” Eur J Oper Res, vol. 259,

no. 2, pp. 721–732, Jun. 2017, doi: 10.1016/J.EJOR.2016.10.044.

6. F. Kamarudin, F. Sufian, N. Aina, M. Anwar, and H. I. Hussain, “Bank Efficiency in Malaysia a DEA Approach,” vol. 71,

no. 595, pp. 133–162, 2019, doi: 10.2478/jcbtp-2019-0007.

7. S. Khannaev, “Efficiency of Banks in Uzbekistan: A DEA Approach,” European Journal of Business and Management,

vol. 12, no. 9, pp. 22–26, 2020, doi: 10.7176/EJBM/12-9-03.

8. B. Casu, C. Girardone, and P. Molyneux, “Productivity change in European banking: A comparison of parametric and

non-parametric approaches,” J Bank Financ, 2004, doi: 10.1016/j.jbankfin.2003.10.014

9. T.-H. Huang and M.-H. Wang, “Comparison of Economic Efficiency Estimation Methods: Parametric and Non-parametric

Techniques,” Manchester School, vol. 70, no. 5, pp. 682–709, 2002, [Online]. Available: https://econpapers.

repec.org/RePEc:bla:manchs:v:70:y:2002:i:5:p:682-709

10. F. Pasiouras, S. Tanna, and C. Zopounidis, “The impact of banking regulations on banks’ cost and profit efficiency:

Cross-country evidence,” International Review of Financial Analysis, 2009, doi: 10.1016/j.irfa.2009.07.003.

11. Y. Luo, S. Tanna, and G. De Vita, “Financial openness, risk and bank efficiency: Cross-country evidence,” Journal of

Financial Stability, vol. 24, pp. 132–148, Jun. 2016, doi: 10.1016/J.JFS.2016.05.003.

12. C. Gaganis, E. Galariotis, F. Pasiouras, and C. Staikouras, “Macroprudential regulations and bank profit efficiency:

international evidence,” J Regul Econ, vol. 59, no. 2, pp. 136–160, Apr. 2021, doi: 10.1007/S11149-021-09424-5/

TABLES/7.

13. I. Gržeta, S. Žiković, and I. Tomas Žiković, “Size matters: analyzing bank profitability and efficiency under the Basel

III framework,” Financial Innovation, vol. 9, no. 1, pp. 1–28, Dec. 2023, doi: 10.1186/S40854-022-00412-Y/TABLES/8.

14. C. Gaganis and F. Pasiouras, “Financial supervision regimes and bank efficiency: International evidence,” J Bank

Financ, vol. 37, no. 12, pp. 5463–5475, Dec. 2013, doi: 10.1016/J.JBANKFIN.2013.04.026.

15. B. Székely, “Bank efficiency differences across Central and Eastern Europe,” 2018, Accessed: Mar. 10, 2025. [Online].

Available: https://www.econstor.eu/handle/10419/189895

16. B. Shen, A. A. Perfilev, L. P. Bufetova, and X. Li, “Bank Profitability Analysis in China: Stochastic Frontier Approach,”

Journal of Risk and Financial Management 2023, Vol. 16, Page 243, vol. 16, no. 4, p. 243, Apr. 2023, doi: 10.3390/

JRFM16040243.

17. V. Belousova, A. Karminsky, and I. Kozyr, “Bank Ownership and Profit Efficiency of Russian Banks,” SSRN Electronic

Journal, Feb. 2018, doi: 10.2139/SSRN.3128149.

18. Ш. Ханнаев, “Турли мулкчилик шаклидаги банклар фаолияти самарадорлиги таҳлили,” Иқтисодиёт ва

инновацион технологиялар, vol. 1, no. 39, pp. 1–15, 2019, [Online]. Available: http://iqtisodiyot.tsue.uz/sites/default/

files/maqolalar/22_Khannayev.pdf

19. Ш. Ханнаев, “Тижорат банклари фаолиятини харажатлар бўйича самарадорлигини баҳолаш: ўзгарувчан кўлам

қайтими асосида маълумотларнинг қобиқ таҳлили усули,” Иқтисодиётда инновациялар, vol. 2, no. 3, pp. 93–104,

2020, doi: http://dx.doi.org/10.26739/2181-9491-2020-2-12.

20. Ш. Ханнаев, “Анализ эффективности банков с разными формами собственности,” Экономика и инновационные

технологии, no. 1, pp. 194–208, 2019.

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Published

2025-08-01

How to Cite

Xannayev , S. (2025). O‘zbek banklarining xarajatlar samaradorligini stoxastik chegara modelida baholash. GREEN ECONOMY AND DEVELOPMENT, 3(8). https://doi.org/10.5281/zenodo.16910439
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