This article develops an econometric model for determining regional tax potential. Based on statistical data for the regions of Uzbekistan for 2016–2024, a multifactor regression model was built, in which the impact of economic (GDP, investments), demographic (population, urbanization), financial and institutional factors on tax revenues was quantitatively assessed. Multicollinearity was optimized using correlation analysis and the VIF indicator, and the model reliability was confirmed at the level of R²=0.87. A forecast of regional tax revenues for 2025–2027 is presented based on three scenarios - base, optimistic and pessimistic. The results provide a practical basis for the formation of regional fiscal policy and the effective allocation of inter-budget resources
| Mualliflar | Jurayev , Khusan, Джураев , Хусан, Jurayev , Xusan |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashr sanasi | 2026-06-26 |
| Jild | 3 |
| Son | 3 |
| Betlar | 726-736 |
| Til | O‘zbek |
| DOI | 10.60078/3060-4842-2026-vol3-iss3-pp726-736 |
DOI: 10.60078/3060-4842-2026-vol3-iss3-pp726-736 · Maqolaning asl sahifasi
regional tax capacity, econometric model, multivariate regression, correlation analysis, scenario forecast, interregional differences, urbanization, institutional efficiency, budget planning, fiscal policy, региональный налоговый потенциал, эконометрическая модель, многомерная регрессия, корреляционный анализ, сценарное прогнозирование, межрегиональные различия, урбанизация, институциональная эффективность, бюджетное планирование, фискальная политика, hududiy soliq salohiyati, ekonometrik model, ko‘p omilli regressiya, korrelyatsion tahlil, ssenariy prognozi, hududlararo tafovutlar, urbanizatsiya, institutsional samaradorlik, budjet rejalashtirish, fiskal siyosat
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