Issue |
SHS Web Conf.
Volume 36, 2017
The 2016 4th International Conference on Governance and Accountability (2016 ICGA)
|
|
---|---|---|
Article Number | 00017 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/shsconf/20173600017 | |
Published online | 24 July 2017 |
Examining the Factors of Tax Non-Compliance: A Case Study of Small and Medium Enterprises in Metro Area
Accounting Department, College of Business Management and Accounting Universiti Tenaga Nasional
* Corresponding author’ email: marziana@uniten.edu.my
Hidden income is a business income and individual income should be recorded and taxed but taxpayers are not reported in full or not reported at all. In this paper we examine the determinants of tax non-compliance among Small and Medium Enterprises (SMEs) in Metro area. 150 questionnaires were distributed to the three sectors namely, distribution, food and beverages, and service providers; only 86 agreed to participate (57.3%). Kaiser-Meyer-Olkin, descriptive and Pearson correlation test were used to analyse the data. The results indicate that there was a number of significant relationship between tax incentive and company size towards tax non-compliance. Therefore, the importance of this phenomenon is the potential serious revenue losses to government and resulting in the possible under funding of public’s service and also an unfair burden on honest citizens.
Key words: Tax Compliance / Tax Knowledge / Fiscal Psychology Theory
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.