ANALYSIS OF DIRECT TAXES AND GROSS DOMESTIC PRODUCT OF THE KENYAN ECONOMY

Forfattere

  • Johnmark Obura Department of Accounting and Finance, Bomet University College, Kenya

DOI:

https://doi.org/10.46827/ejefr.v6i1.1240

Nøgleord:

taxes, domestic, economy, growth, government, development

Resumé

Gross Domestic Product acts as an indicator of the economic growth of a country. To enhance economic growth, the government must initiate development that would spur such growth. Gross Domestic Product represents the rise or fall in per capita income. To facilitate such development, the government should ensure consistent income through taxation. The purpose of this study was to establish the relationship between direct taxes and the Gross Domestic Product of the Kenyan economy. The independent variable was direct tax while the dependent variable was real Gross Domestic Product. The Benefit theory of taxation was used in the study. Time series data collected from Economic Survey for 21 years covering the period 1999-2020 was used in the study. The data was analyzed using inferential statistics. The results showed that direct tax accounted for 84% of real GDP during the period under study (R2=.85) ad that there was a strong positive correlation between direct tax and real GDP (R=.916). Moreover, it was revealed that a unit standard increase in direct tax would significantly lead to .916 increase in real GDP (ß=.916, p<0.05). In conclusion, the study failed to accept the null hypothesis and concluded that Direct Taxes have a significant relationship with the Real Gross Domestic Product of the Kenyan economy. The study recommended that government should ensure an effective and efficient way of collecting and utilizing direct taxes since they have a direct bearing on the growth of the economy.

 

JEL: O10; O40

 

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Forfatterbiografi

  • Johnmark Obura, Department of Accounting and Finance, Bomet University College, Kenya
    Dr. Johnmark Obura is a Senior Lecturer of Finance at the Department of Accounting and Finance at Bomet University College, Kenya. He has a PhD in Business Administration (Finance), Master of Business Administration (Finance), Master of Science in Applied Statistics and Bachelor of Science in Mathematics and Computer Science. He has research interest in Quantitative Finance, Digital Finance and Business Management. He has participated in a number of Scientific Conferences.

Referencer

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Publiceret

2022-03-26

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