Quantitative Analysis of Decision-Making Efficiency in Local Government Using Econometric Methods: Namangan Region Case

Authors

  • Axmedov Farxod Raxmonjonovich PhD candidate at Namangan State University of Technology

DOI:

https://doi.org/10.51699/cajitmf.v7i2.1231

Keywords:

Econometric modeling, decision-making efficiency, local government, regression analysis, Revenue Forecasting, socio-economic indicators, Namangan region

Abstract

This study applies econometric modeling to evaluate the efficiency of decision-making in local government institutions, using Namangan region as a case study. Based on socio-economic data for 2018–2025, key indicators such as decisions adopted, poverty, unemployment, job creation, and infrastructure access were analyzed. Regression models were developed using the least squares method, and their validity was tested through Student’s t-test, Fisher’s F-test, and the coefficient of determination (R²). The results reveal strong relationships between decision-making efficiency and socio-economic factors. Forecasts for 2026–2030 indicate continued improvement in regional development. The study confirms that econometric approaches provide a reliable basis for evidence-based local governance and policy planning.

References

O. Y. Ermolaev, Matematicheskaya statistika dlya psikhologov. Moscow, Russia, 2011.

L. Zaks, Statisticheskoe otsenivanie. Moscow, Russia: Statistika, 1976, p. 595.

D. A. Novikov, Statisticheskie metody v pedagogicheskikh issledovaniyakh (tipovye sluchai). Moscow, Russia: MZ-Press, 2004, p. 67.

E. V. Sidorenko, Metody matematicheskoy obrabotki v psikhologii. St. Petersburg, Russia: Rech, 2000.

S. Glantz, Mediko-biologicheskaya statistika. Moscow, Russia: Praktika, 1998, p. 459.

A. Petri and K. Sebin, Naglyadnaya meditsinskaya statistika. Moscow, Russia: GEOTAR-Media, 2009, p. 168.

Student, “The probable error of a mean,” Biometrika, pp. 1–25, 1908.

M. Kendall and A. Stewart, Statisticheskie vyvody i svyazi, vol. 2. Moscow, Russia: Nauka, 1973.

V. M. Efimov, “Kak schitat kriteriy St’yudenta statisticheskoy znachimosti raznosti srednikh dvukh vyborok. I. Proverka normalnosti,” Pisma v Vavilovskiy zhurnal genetiki i selektsii, vol. 11, no. 1, p. 43, 2025.

T. N. Unguryanu and A. M. Grzhibovskiy, “Kratkie rekomendatsii po opisaniyu, statisticheskomu analizu i predstavleniyu dannykh v nauchnykh publikatsiyakh,” Ekologiya cheloveka, no. 5, pp. 55–60, 2011.

K. Z. Bilyatdinov and A. G. Fortinskiy, “Primenenie mnogofunktsionalnykh statisticheskikh kriteriev pri kontrole kachestva obucheniya,” in Sovremennye metody obucheniya i progressivnye obrazovatelnye tekhnologii v podgotovke..., pp. 22–56.

E. G. Zubareva, “Osobennosti obucheniya sovremennykh studentov,” Nauchno-metodicheskiy elektronnyy zhurnal ‘Kontsept’, vol. 26, pp. 151–155, 2016.

S. S. Zubareva and A. A. Lavrov, “Primenenie informatsionnykh tekhnologiy pri reshenii ekonometricheskikh zadach,” Ekonomika i sotsium, no. 12-3 (31), pp. 43–47, 2016.

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Published

2026-04-10

How to Cite

Raxmonjonovich, A. F. (2026). Quantitative Analysis of Decision-Making Efficiency in Local Government Using Econometric Methods: Namangan Region Case. Central Asian Journal of Innovations on Tourism Management and Finance, 7(2), 435–444. https://doi.org/10.51699/cajitmf.v7i2.1231

Issue

Vol. 7 No. 2 (2026): April

Section

Articles

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