Artikel

Tax Revenue And Economic Growth In Nigeria

This research work assesses the effects of tax revenue on the economic growth of Nigeria utilizing time series data spanning from year 2000 till 2021. The study's specific goal is to evaluate the influence of hydrocarbon tax, corporation income tax and Value Added Tax on Nigeria's economic growth. The study employs secondary form of data which have been sourced from CBN statistical bulletin and published Federal Inland Revenue Statement. Ex-post facto research design is used for this study. The data collected are analyzed and tested for unit root using Augmented Dickey Fuller method. The study variables which comprise GDP, PPT, CIT & VAT are found to be stationary at first difference. Thus, a Johansen co-integration test is also conducted and it reveals a long-run relationship. Consequently, the study utilizes the Vector Error Correction Model to evaluate the effects of PPT, CIT and VAT on GDP. The findings reveal that PPT and VAT have positive and significant effects on GDP. It also reveals that CIT has a negative and significant effect on GDP. Based on these findings, the inquiry suggests that trainings and workshops should be organized by government tax agencies to the Nigerian public and companies on the importance and benefits of tax revenue to the economy. The tax authorities should also endeavour to encourage companies to pay tax so as to improve the growth of the economy which the companies are meant to benefit from as part of government's fulfilment of its social responsibilities.

Language
Englisch

Bibliographic citation
Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 9 ; Year: 2022 ; Issue: 1 ; Pages: 1-19

Classification
Management
Subject
Companies income tax
economic growth
fuel tax
tax revenue
value added tax

Event
Geistige Schöpfung
(who)
Adefolake, Ayeni Olasubomi
Omodero, Cordelia Onyinyechi
Event
Veröffentlichung
(who)
Taylor & Francis
(where)
Abingdon
(when)
2022

DOI
doi:10.1080/23311975.2022.2115282
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Adefolake, Ayeni Olasubomi
  • Omodero, Cordelia Onyinyechi
  • Taylor & Francis

Time of origin

  • 2022

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