DAVLAT BUDJETIDA SOLIQ TUSHUMLARI O‘ZGARISHINING EKONOMETRIK TADQIQOTI (XORAZM VILOYATI MISOLIDA)
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https://doi.org/10.5281/zenodo.21538975##article.subject##:
davlat budjeti, soliq tushumlari, ekonometrik model, regressiya tahlili, mintaqaviy iqtisodiyot, Xorazm viloyati, soliq salohiyati, prognozlashtirish.##article.abstract##
Maqolada davlat budjeti soliq tushumlarining o‘zgarish dinamikasini ekonometrik modellar
yordamida tadqiq etish masalalari Xorazm viloyati misolida ko‘rib chiqilgan. Soliq tushumlariga ta’sir etuvchi
asosiy makroiqtisodiy va tarmoqqa oid omillar tahlil qilinib, ko‘p faktorli regressiya modelining nazariy-uslubiy
asoslari ishlab chiqilgan. Shuningdek, xalqaro va mahalliy tadqiqotlar tahlili asosida mintaqaviy soliq salohiyatini
baholashda ekonometrik yondashuvlarning afzalliklari yoritilgan hamda Xorazm viloyati sharoitida qo‘llanilishi
mumkin bo‘lgan model spetsifikatsiyasi va uni statistik tekshirish bosqichlari taklif etilgan.
Библиографические ссылки
1. Econometric and Time Series Analysis of Tax Revenue Forecasting in China. — Beijing: China Economic
Publishing House, 2019. — pp. 85–102.
2. Forecasting Tax Revenues Using Time Series Techniques: A Case of Pakistan. // Economic Research -
Ekonomska Istraživanja. — London: Taylor & Francis (Routledge), 2018. — Vol. 31, No. 1. — pp. 123–138.
3. Modeling and Forecasting of Tax Revenue Using Cointegration and Error Correction Models. // Journal of
Applied Econometrics. — Wiley, 2017. — Vol. 32, No. 4. — pp. 567–580.
4. Modeling and Forecasting of Tax Revenue to the Budget for Profit in the Republic of Uzbekistan. //
Proceedings of the International Conference on Finance, Economics and Business Development
(ICFNDS). — New York: Association for Computing Machinery (ACM), 2021. — pp. 145–150.
5. Evaluating the Influence of Regional Economic Factors on Local Budget Revenues Using Econometric
Models. — Cham: Springer Nature Switzerland AG, 2025. — pp. 75–90.
6. Regional Budget Revenue Forecasting Using Structural Time Series Models: Evidence from Poland. //
Eastern European Economics. — Taylor & Francis, 2020. — Vol. 58, No. 3. — pp. 210–225.
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