The impact of debt on tax avoidance: Evidence from companies listed on the Korean stock market

This study investigates the impact of corporate debt levels on tax avoidance among companies listed on the Korean stock market from 2001 to 2023. Using eight empirical models, the analysis examines the relationship between corporate debt and firm value (Models 1–4) and the effects of debt level fluctuations on corporate value (Models 5–8). The findings indicate that corporate debt serves as a mitigating factor for tax avoidance, as evidenced by a negative correlation between debt levels and tax avoidance measures (DDBTD, BTD). This supports the primary hypothesis that higher corporate debt levels are associated with lower tax avoidance activities. Additionally, changes in debt levels, whether increases or decreases, consistently exhibit a negative relationship with tax avoidance. This result reinforces the secondary hypothesis that fluctuations in corporate debt further reduce tax avoidance behavior. These findings suggest that Korean listed firms utilizing external debt financing to enhance internal cash flow and benefit from interest expense deductions tend to engage less in tax avoidance. This study contributes to the literature on corporate financial behavior by highlighting the role of debt financing in shaping tax planning strategies. The results provide practical implications for policymakers and corporate decision-makers concerned with tax compliance and financial management.

Authors

Institutions

Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-02-26
DOI
https://doi.org/10.55214/25768484.v9i2.5052
Primary Topic
Corporate Taxation and Avoidance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of debt on tax avoidance: Evidence from companies listed on the Korean stock market

Kwon Geejung
Edelweiss Applied Science and Technology
Corporate Taxation and Avoidance
article

The impact of debt on tax avoidance: Evidence from companies listed on the Korean stock market

Kwon Geejung
article en

Abstract

This study investigates the impact of corporate debt levels on tax avoidance among companies listed on the Korean stock market from 2001 to 2023. Using eight empirical models, the analysis examines the relationship between corporate debt and firm value (Models 1–4) and the effects of debt level fluctuations on corporate value (Models 5–8). The findings indicate that corporate debt serves as a mitigating factor for tax avoidance, as evidenced by a negative correlation between debt levels and tax avoidance measures (DDBTD, BTD). This supports the primary hypothesis that higher corporate debt levels are associated with lower tax avoidance activities. Additionally, changes in debt levels, whether increases or decreases, consistently exhibit a negative relationship with tax avoidance. This result reinforces the secondary hypothesis that fluctuations in corporate debt further reduce tax avoidance behavior. These findings suggest that Korean listed firms utilizing external debt financing to enhance internal cash flow and benefit from interest expense deductions tend to engage less in tax avoidance. This study contributes to the literature on corporate financial behavior by highlighting the role of debt financing in shaping tax planning strategies. The results provide practical implications for policymakers and corporate decision-makers concerned with tax compliance and financial management.

Edelweiss Applied Science and TechnologyVol. 9(2)
Hanbat National University (KR)
Openalex Percentile: Top 95%
Corporate Taxation and Avoidance
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.