Published: 2023-10-01

Pengaruh Profitabilitas dan Sales Growth Terhadap Tax Avoidance (Studi Empiris pada Perusahaan Manufaktur Sub Sektor Makanan dan Minuman Yang Terdaftar di BEI Tahun 2019-2021)

DOI: 10.35870/emt.v7i4.1517

Salsabila Dinantia, Herry Goenawan Soedarsa

Abstract

This study aims to determine the effect of profitability and sales growth on tax avoidance of manufacturing companies in the consumer goods industry sector which are listed on the IDX in 2019 - 2021. There are several factors that influence a company in carrying out its tax obligations, including profitability, leverage, and corporate governance. This research method uses quantitative methods. The samples involved were 57 companies within 3 years. The testing procedure used is purposive sampling. Data analysis for this study used multiple linear regression tests. The results showed that profitability and sales growth had a positive and significant effect on tax avoidance.

Keywords

Profitability ; Sales Growth ; Tax Avoidance

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
Article Information

This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 7 No. 4 (2023)

  • Section: Articles

  • Published: October 1, 2023

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)