What can we learn about tax compliance?

Yusoff, Siti Norfazlina (2024) What can we learn about tax compliance? Bulletin. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah.

Official URL: https://kedah.uitm.edu.my/research

Abstract

All citizens who make an income have a duty to pay taxes. The primary objective of the government is to create obedience among taxpayers who follow the tax laws, regardless of the motivations behind compliance. According to Kasipillai and Abdul-Jabbar (2006), and Roth and Scholz (1989), tax compliance is commonly understood as to accurately report tax liability at the time the return is submitted and filing all required tax returns within the allocated time. According to the definition given above, maintaining records, completing tax returns on time and accurately, and paying all outstanding taxes are three crucial components of compliance (Sour, 2004). Three criteria can be used to assess tax compliance; (1) meeting deadlines; (2) accurately reporting tax liability and (3) adhering to tax laws and regulations. Underreporting and overreporting taxes are considered non-compliance as it breaches tax duties (Sour, 2004).

Metadata

Item Type: Monograph (Bulletin)
Creators:
Creators
Email / ID Num.
Yusoff, Siti Norfazlina
fazlina836@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Editor
Anuar, Azyyati
azyyati@uitm.edu.my
Editor
Ahmad Zawawi, Azlyn
azlyn@uitm.edu.my
Editor
Jamaludin, Mohd Faizal
mfaizalj@uitm.edu.my
Editor
Hussin, Rohayati
roha427@uitm.edu.my
Subjects: H Social Sciences > HJ Public Finance > Revenue. Taxation. Internal revenue
H Social Sciences > HJ Public Finance > Revenue. Taxation. Internal revenue > Tax revenue estimating
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: Buletin RMU4U
ISSN: 2805-475X
Keywords: Tax compliance criteria, Tax liability reporting, Taxpayer obedience
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/136390
Edit Item
Edit Item

Download

[thumbnail of 136390.pdf] Text
136390.pdf

Download (1MB)

ID Number

136390

Indexing

Statistic

Statistic details