A Framework for Sales Tax Base Expansion: Food Taxation in North Carolina and Applications for Other States

Abstract The review of sales tax exemptions represents a significant undertaking for states across the United States. This analysis introduces a set of tax policy criteria to evaluate these exemptions in response to prevalent stakeholder considerations. We implement these criteria in the context of North Carolina's exemption of unprepared food from the sales tax base, outlining a specific methodology for each. In addition, we leverage a distinctive feature of North Carolina's tax revenue data to generate projections for other states using a machine learning approach. By repealing their food sales tax exemptions, our calculations suggest that states could increase revenue by approximately 12 percent or, if revenue neutrality were pursued, decrease their general sales tax rate by an average of 0.62 percentage points. These results align closely with our North Carolina analysis. We also find that repealing the food exemption would decrease revenue volatility in North Carolina, and, under a revenue‐neutral approach, result in a progressive change in tax burdens for the lowest‐income households once accounting for government food assistance. One notable downside to repealing food exemptions is the potential revenue loss for local governments that currently tax food—a challenge that could be mitigated through intergovernmental transfers.

Authors

Institutions

Publication Details

Journal
Public Budgeting &amp Finance
Published
2026-02-18
DOI
https://doi.org/10.1111/pbaf.70017
Primary Topic
Local Government Finance and Decentralization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Framework for Sales Tax Base Expansion: Food Taxation in North Carolina and Applications for Other States

Alex Combs, Whitney B. Afonso
Public Budgeting &amp Finance
Local Government Finance and Decentralization
article

A Framework for Sales Tax Base Expansion: Food Taxation in North Carolina and Applications for Other States

Alex Combs, Whitney B. Afonso
article en

Abstract

Abstract The review of sales tax exemptions represents a significant undertaking for states across the United States. This analysis introduces a set of tax policy criteria to evaluate these exemptions in response to prevalent stakeholder considerations. We implement these criteria in the context of North Carolina's exemption of unprepared food from the sales tax base, outlining a specific methodology for each. In addition, we leverage a distinctive feature of North Carolina's tax revenue data to generate projections for other states using a machine learning approach. By repealing their food sales tax exemptions, our calculations suggest that states could increase revenue by approximately 12 percent or, if revenue neutrality were pursued, decrease their general sales tax rate by an average of 0.62 percentage points. These results align closely with our North Carolina analysis. We also find that repealing the food exemption would decrease revenue volatility in North Carolina, and, under a revenue‐neutral approach, result in a progressive change in tax burdens for the lowest‐income households once accounting for government food assistance. One notable downside to repealing food exemptions is the potential revenue loss for local governments that currently tax food—a challenge that could be mitigated through intergovernmental transfers.

Public Budgeting &amp Finance
University of North Carolina at Chapel Hill (US), University of Georgia (US)
Zero hunger
Openalex Percentile: Top 55%
Local Government Finance and Decentralization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.