애스크로AIPublic Preview
← 학술논문 검색
학술논문Asia-Pacific Journal of Financial Studies2024.02 발행

Controlling Shareholders' Value and Corporate Tax Avoidance

Controlling Shareholders' Value and Corporate Tax Avoidance

조형진(Inha University); 현정훈(Chung-Ang University); 정태진(IE University); 김예원(Sejong University)

53권 1호, 35~59쪽

초록

This paper investigates whether and how controlling shareholders' value (i.e., the concentration of controlling shareholders' wealth within a business group) affects corporate tax planning using Korean chaebols. We find that firms with high controlling shareholders' value engage in a lower level of tax avoidance than other affiliates in the business group. We also find that controlling shareholders' concern about the costs of tax avoidance (i.e., regulatory penalties and reputational damages) are potential mechanisms that prevent firms with high controlling shareholders' value from aggressive tax planning. Lastly, we provide the value implication of tax avoidance for firms with high controlling shareholders' value.

Abstract

This paper investigates whether and how controlling shareholders' value (i.e., the concentration of controlling shareholders' wealth within a business group) affects corporate tax planning using Korean chaebols. We find that firms with high controlling shareholders' value engage in a lower level of tax avoidance than other affiliates in the business group. We also find that controlling shareholders' concern about the costs of tax avoidance (i.e., regulatory penalties and reputational damages) are potential mechanisms that prevent firms with high controlling shareholders' value from aggressive tax planning. Lastly, we provide the value implication of tax avoidance for firms with high controlling shareholders' value.

발행기관:
한국증권학회
DOI:
http://dx.doi.org/10.1111/ajfs.12460
분류:
경영학

AI 법률 상담

이 논문의 주제에 대해 더 알고 싶으신가요?

460만+ 법률 자료에서 관련 판례·법령·해석례를 찾아 답변합니다

AI 상담 시작
Controlling Shareholders' Value and Corporate Tax Avoidance | Asia-Pacific Journal of Financial Studies 2024 | AskLaw | 애스크로 AI