Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Blockchain technology can benefit inter-organizational activities by improving data integrity, increasing transaction transparency, and decreasing transaction costs. In this paper, we discuss the strategic and economic value of this technology by applying it to the value-added tax (VAT) reporting system, focusing on blockchain’s characteristic traceability. By effectively increasing financial transparency, the application of blockchain to the VAT system can prevent VAT-related fraud (e.g., underreported VAT) that can arise due to the information asymmetry that exists at different stages of the supply chain. We develop a game theoretical model that involves a retailer and two vendors in order to study the players’ strategic decisions regarding blockchain adoption and to examine the effects on social welfare. We also show how the decision to adopt blockchain depends on considerations such as adoption costs, the vendors’ VAT reporting behavior, the retailer’s profit margins, and inter-vendor competition. Furthermore, we find that under certain conditions, policymakers can increase social welfare by providing subsidies to encourage blockchain adoption.88.

Original languageEnglish (US)
Pages (from-to)288-313
Number of pages26
JournalJournal of Management Information Systems
Volume38
Issue number2
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Computer Science Applications
  • Management Science and Operations Research
  • Information Systems and Management

Keywords

  • Blockchain
  • VAT
  • blockchain impacts
  • game theoretical model
  • social welfare
  • strategic financial transparency
  • value-added tax

Fingerprint

Dive into the research topics of 'Chain of Values: Examining the Economic Impacts of Blockchain on the Value-Added Tax System'. Together they form a unique fingerprint.

Cite this