"METHODS FOR FORECASTING THE ANNUAL TURNOVER AND TAX REVENUES OF E-COMM" by Y. Ibrohimov

International Finance and Accounting

Article Title

METHODS FOR FORECASTING THE ANNUAL TURNOVER AND TAX REVENUES OF E-COMMERCE SUBJECTS

Authors

Y. Ibrohimov, Tashkent State University of Economics

Abstract

This article examines e-commerce in our country, as well as the direct and indirect consequences of the global COVID-19 pandemic on e-commerce in our country. In addition, the in-depth analysis of e-commerce activities, which are believed to prevent a sharp decline in the consumer index, is based on statistics that accurately predict tax revenues that could go to the state budget as a result of these activities. With the help of econometric models, the turnover of e-commerce entities and the forecasting of tax revenues paid by them have been studied. In particular, the recommendations were developed based on the results obtained using nonlinear regression equations and small squares prediction methods.

References

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Recommended Citation

Ibrohimov, Y. (2020) "METHODS FOR FORECASTING THE ANNUAL TURNOVER AND TAX REVENUES OF E-COMMERCE SUBJECTS," International Finance and Accounting: Vol. 2020 : Iss. 5 , Article 10.
Available at: https://uzjournals.edu.uz/interfinance/vol2020/iss5/10

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