IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v6y2021i1id50693.html

Appraisal of Self-Assessment Tax Policy in Nigeria

Author

Listed:
  • Uket E. Ewa

    (Cross River University of Technology, Nigeria)

Abstract

Implementation of self-assessment policy is seen as enhancing tax revenue generation, reducing operational cost and operating in line with international best practices. This study was designed to appraise the self-assessment tax policy in Nigeria by exploring income streams from CIT, PPT, VAT against GDP (at current basic prices) and annual budgets from 2002 to 2019. The study applying Ordinary Least Square statistics revealed the tax streams impacted GDP both in the pre and post self-assessment periods though their impacts varied. The efficiency of the implementation of the self-assessment policy tested using tax to GDP ratio and tax to budget ratio revealed pre self-assessment period performing better than the post self-assessment period as pre self-assessment period tax to GDP ratio is 6.63 per cent as against post self-assessment period tax to GDP ratio of 4.23 per cent. Also, pre self-assessment period tax to budget ratio is 119.62 per cent as against post self-assessment period ratio of 92.18 per cent. This is attributable to decline in performance during the post self-assessment period as a result of reduction in petroleum profit taxes occasioned by decline in taxable profits of companies operating in the petroleum sub-sector due to slump in global crude oil prices. The study also found Nigeria’s tax to GDP ratio to be far below average in other regions and the lack of harmonization of tax revenues by States and the federal government for a realistic evaluation.

Suggested Citation

  • Uket E. Ewa, 2021. "Appraisal of Self-Assessment Tax Policy in Nigeria," European Journal of Business and Management Research, European Open Science, vol. 6(1), pages 189-197, January.
  • Handle: RePEc:epw:ejbmr0:v:6:y:2021:i:1:id:50693
    DOI: 10.24018/ejbmr.2021.6.1.693
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/50693
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/50693/7083
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2021.6.1.693?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejbmr0:v:6:y:2021:i:1:id:50693. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.