Reimagining Value-Added Tax Reform Through Digital Rebates and Advanced Simulation for Inclusive Fiscal Policy

This paper examines the regressive nature of the value-added tax and proposes an integrated framework combining a uniform value-added tax rate with progressive, digitally administered rebates. The model was performed using household- and firm-level microsimulations with Monte Carlo methods. It demonstrates that equity can be reached without revenue neutrality being undermined. Simulation results for a calibrated 2024–2025 economy show the proposed rebate structure reduces the effective tax burden on the lowest income quintile from 13.5% to 5.4% of income, delivering a net cash benefit of USD 786.88 and a welfare gain of 6.10%. The policy is projected to generate a robust average VAT revenue of USD 17.44 million, with a 97.8% probability of a positive fiscal impact, while reducing the poverty rate by 2.6% and lowering inequality (Gini coefficient of utility to 0.199). The outcomes present a welfare gain for the poor, a small firm-level effect, and a decrease in poverty and inequality. The results suggest a feasible policy route towards a more equitable tax system, thus promoting indirectly to the United Nations Sustainable Development Goals (SDGs), specifically SDG 8 (decent work and economic growth) and SDG 10 (reduced inequalities).

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Publication Details

Journal
Journal of risk and financial management
Published
2026-02-03
DOI
https://doi.org/10.3390/jrfm19020111
Primary Topic
Taxation and Compliance Studies
Type
article
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article

Reimagining Value-Added Tax Reform Through Digital Rebates and Advanced Simulation for Inclusive Fiscal Policy

V. Natarajan, Jayendira P Sankar, Lamin Jarju
Journal of risk and financial management
Taxation and Compliance Studies
article

Reimagining Value-Added Tax Reform Through Digital Rebates and Advanced Simulation for Inclusive Fiscal Policy

V. Natarajan, Jayendira P Sankar, Lamin Jarju
article en

Abstract

This paper examines the regressive nature of the value-added tax and proposes an integrated framework combining a uniform value-added tax rate with progressive, digitally administered rebates. The model was performed using household- and firm-level microsimulations with Monte Carlo methods. It demonstrates that equity can be reached without revenue neutrality being undermined. Simulation results for a calibrated 2024–2025 economy show the proposed rebate structure reduces the effective tax burden on the lowest income quintile from 13.5% to 5.4% of income, delivering a net cash benefit of USD 786.88 and a welfare gain of 6.10%. The policy is projected to generate a robust average VAT revenue of USD 17.44 million, with a 97.8% probability of a positive fiscal impact, while reducing the poverty rate by 2.6% and lowering inequality (Gini coefficient of utility to 0.199). The outcomes present a welfare gain for the poor, a small firm-level effect, and a decrease in poverty and inequality. The results suggest a feasible policy route towards a more equitable tax system, thus promoting indirectly to the United Nations Sustainable Development Goals (SDGs), specifically SDG 8 (decent work and economic growth) and SDG 10 (reduced inequalities).

Journal of risk and financial managementVol. 19(2)
University of Technology Bahrain (BH), African Institute for Mathematical Sciences Ghana (GH), Arab Open University (BH), University College of Bahrain (BH)
No poverty
Openalex Percentile: Top 74%
Taxation and Compliance Studies
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