Application Models for a Fiscal Blockchain: The Brazilian Tax System

Authors

  • Lara Dourado Vasconcelos Nascimento Programa de Pós-Graduação em Sistema e Computação Universidade Salvador (UNIFACS) – Salvador, BA
  • Paulo Caetano da Silva Programa de Pós-Graduação em Sistema e Computação Universidade Salvador (UNIFACS) – Salvador, BA
  • Daniel José Díaz Universidad Nacional de Rosario (UNR), Facultad de Ciencias Económicas y Estadística – Rosário
  • Clovis Belbute Peres Academia Brasileira de Ciências Contábeis (ABRACCION), Brasilia

DOI:

https://doi.org/10.4067/S0718-27242023000300019

Keywords:

Blockchain, Fiscal Blockchain, Brazilian Tax System, Taxation Brazilian, Smart Contracts for Fiscal Blockchain, CBDC

Abstract

Abstract
Electronic tax documents represent an important advance in the process of digital transformation of tax administrations in Brazil. However, the current system still presents several challenges to be overcome. In the technological aspect, vulnerabilities and inconsistencies typical of a centralized model can be mentioned. In addition, from a functional perspective, the lack of control over taxes payments is a major concern. In this context, Blockchain technology emerges as a possibility to complement the current model, thanks to its characteristics, such as traceability, immutability, security and transparency, which are essential in the tax environment. This work proposes four application models based on Blockchain aimed at monitoring the payment of taxes, using different types of integration with existing systems. After the presentation and description of the models, they are discussed and compared, in order to reinforce their main characteristics, facilitating decision making in possible future applications.

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Published

2023-10-24

How to Cite

Vasconcelos Nascimento, L. D., Caetano da Silva, P., Díaz, D. J., & Peres, C. B. (2023). Application Models for a Fiscal Blockchain: The Brazilian Tax System. Journal of Technology Management & Innovation, 18(3), 19–30. https://doi.org/10.4067/S0718-27242023000300019

Issue

Section

Research Articles

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