Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis

Tax is one means of financing government expenditures and plays an important role in increasing government revenue. The amount of tax collected actually depends on the effectiveness of the tax system in an economy. When a taxation system is ineffective, many people will exploit the situation to av...

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Main Authors: Razieh Tabandeh,, Mansor Jusoh,, Nor Ghani Md. Nor,, Mohd Azlan Shah Zaidi,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2013
Online Access:http://journalarticle.ukm.my/8093/1/5576-13419-1-SM.pdf
http://journalarticle.ukm.my/8093/
http://ejournal.ukm.my/jem/index
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spelling my-ukm.journal.80932016-12-14T06:46:11Z http://journalarticle.ukm.my/8093/ Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis Razieh Tabandeh, Mansor Jusoh, Nor Ghani Md. Nor, Mohd Azlan Shah Zaidi, Tax is one means of financing government expenditures and plays an important role in increasing government revenue. The amount of tax collected actually depends on the effectiveness of the tax system in an economy. When a taxation system is ineffective, many people will exploit the situation to avoid paying tax and tax evasion will become popular. In the presence of tax evasion, the government cannot allocate revenue for programs or provide desirable social services. Realizing the significant impact of tax evasion on the economy, the present study aims to determine the main factors that result in tax evasion and their relative importance. The present study employs an artificial neural network (ANN) methodology on Malaysian data for the period between 1963 and 2011. The results show that tax burden, size of the government and inflation rate have positive effects on tax evasion. The income of taxpayers and trade openness, however, has negative effects on tax evasion. The results also reveal that the income of the taxpayer has a more significant relationship with levels of tax evasion than the other causes of tax evasion examined in the present study. Penerbit Universiti Kebangsaan Malaysia 2013 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8093/1/5576-13419-1-SM.pdf Razieh Tabandeh, and Mansor Jusoh, and Nor Ghani Md. Nor, and Mohd Azlan Shah Zaidi, (2013) Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis. Jurnal Ekonomi Malaysia, 47 (1). pp. 99-108. ISSN 0127-1962 http://ejournal.ukm.my/jem/index
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Tax is one means of financing government expenditures and plays an important role in increasing government revenue. The amount of tax collected actually depends on the effectiveness of the tax system in an economy. When a taxation system is ineffective, many people will exploit the situation to avoid paying tax and tax evasion will become popular. In the presence of tax evasion, the government cannot allocate revenue for programs or provide desirable social services. Realizing the significant impact of tax evasion on the economy, the present study aims to determine the main factors that result in tax evasion and their relative importance. The present study employs an artificial neural network (ANN) methodology on Malaysian data for the period between 1963 and 2011. The results show that tax burden, size of the government and inflation rate have positive effects on tax evasion. The income of taxpayers and trade openness, however, has negative effects on tax evasion. The results also reveal that the income of the taxpayer has a more significant relationship with levels of tax evasion than the other causes of tax evasion examined in the present study.
format Article
author Razieh Tabandeh,
Mansor Jusoh,
Nor Ghani Md. Nor,
Mohd Azlan Shah Zaidi,
spellingShingle Razieh Tabandeh,
Mansor Jusoh,
Nor Ghani Md. Nor,
Mohd Azlan Shah Zaidi,
Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis
author_facet Razieh Tabandeh,
Mansor Jusoh,
Nor Ghani Md. Nor,
Mohd Azlan Shah Zaidi,
author_sort Razieh Tabandeh,
title Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis
title_short Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis
title_full Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis
title_fullStr Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis
title_full_unstemmed Causes of tax evasion and their relative contribution in Malaysia: an artificial neural network method analysis
title_sort causes of tax evasion and their relative contribution in malaysia: an artificial neural network method analysis
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2013
url http://journalarticle.ukm.my/8093/1/5576-13419-1-SM.pdf
http://journalarticle.ukm.my/8093/
http://ejournal.ukm.my/jem/index
_version_ 1643737361086939136
score 13.214268