<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Tax governance faces more complex challenges with the deepening integration between traditional industries and the digital economy. This paper analyzes the main features of the digital economy according to its development, measures the digital economy based on the mixed-frequency data sampling method, and studies the selection method of the weight function and the change of the shape of the weight function with the parameters through the exploration of parameter estimation. Meanwhile, the MF-VAR model combining vector autoregression is proposed for the characteristics of mixed-frequency data. Then, the MF-VAR model is used to measure the tax leakage of the digital economy from 2015 to 2019 and compare its tax rate with that of major economies worldwide. The VAT of e-commerce e-tailing in 2019 is measured to be 848.15 billion yuan, accounting for 4.97% of the annual tax revenue, and the personal income tax leakage is measured to be 141.25 billion yuan, accounting for The amount of VAT, and personal income tax loss from e-commerce and their proportion of annual tax revenue increased year by year from 2015 to 2019, with an average annual growth rate of 40.58% and 25.21%, respectively. Tax authorities should change the traditional thinking of levy and administration, respond to the changes of the times, and innovate the governance system to protect the digital economy model in its primary stage, but also bring its development into the rule of law and standardization.</p>
</abstract>

Tax governance faces more complex challenges with the deepening integration between traditional industries and the digital economy. This paper analyzes the main features of the digital economy according to its development, measures the digital economy based on the mixed-frequency data sampling method, and studies the selection method of the weight function and the change of the shape of the weight function with the parameters through the exploration of parameter estimation. Meanwhile, the MF-VAR model combining vector autoregression is proposed for the characteristics of mixed-frequency data. Then, the MF-VAR model is used to measure the tax leakage of the digital economy from 2015 to 2019 and compare its tax rate with that of major economies worldwide. The VAT of e-commerce e-tailing in 2019 is measured to be 848.15 billion yuan, accounting for 4.97% of the annual tax revenue, and the personal income tax leakage is measured to be 141.25 billion yuan, accounting for The amount of VAT, and personal income tax loss from e-commerce and their proportion of annual tax revenue increased year by year from 2015 to 2019, with an average annual growth rate of 40.58% and 25.21%, respectively. Tax authorities should change the traditional thinking of levy and administration, respond to the changes of the times, and innovate the governance system to protect the digital economy model in its primary stage, but also bring its development into the rule of law and standardization.

A new model of tax governance in the context of the integration of traditional industries and the digital economy

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Tax governance faces more complex challenges with the deepening integration between traditional industries and the digital economy. This paper analyzes the...

A new model of tax governance in the context of the integration of traditional industries and the digital economy

Data publikacji: 14 sie 2023

Zakres stron: -

Otrzymano: 13 lis 2022

Przyjęty: 22 lut 2023

DOI: https://doi.org/10.2478/amns.2023.2.00185

Słowa kluczowe
Digital economy, Mixed frequency data, MF-VAR model, Tax leakage, VAT

© 2023 Yong Qin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A new model of tax governance in the context of the integration of traditional industries and the digital economy

Data publikacji: 14 sie 2023

Zakres stron: -

Otrzymano: 13 lis 2022

Przyjęty: 22 lut 2023

DOI: https://doi.org/10.2478/amns.2023.2.00185

Słowa kluczoweDigital economy, Mixed frequency data, MF-VAR model, Tax leakage, VAT

© 2023 Yong Qin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Digital economy, Mixed frequency data, MF-VAR model, Tax leakage, VAT