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Sharon Ooko

Sharon Ooko

Graduate Assistant (Voluntary) at Department of Economics, Masinde Muliro University of Science and Technology

Applied Economics at Masinde Muliro University of Science and Technology

Kenya

Carbon & ESG Analyst Certificate

Carbon & ESG Analyst Certificate

Certificate from the University of Cambridge Online

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Hi, I'm Sharon Ooko!

Graduate Assistant (Voluntary) at Department of Economics, Masinde Muliro University of Science and Technology

Dynamic, detail-oriented, and analytically skilled graduate in Mathematics and Economics with IT, complemented by Cambridge level certificate training in Carbon Accounting and ESG Analysis. I am currently pursuing Master of Science in Economics to deepen expertise in research, policy and sustainable development with a strong background in data analysis, research, statistical modelling, leadership and mentorship.

Socials

Experience

Education

Certificates & Badges

Carbon & ESG Analyst Certificate

Carbon & ESG Analyst Certificate

Certificate from the University of Cambridge Online

Issue date: Jan 29, 2025

Show credential

Projects

ESG RISK ASSESSMENT TOOL

PROJECT MANAGER

Developing an ESG Risk assessment tool that would be used to evaluate to the ESG risk on businesses' performance.

Analyzing the Relationship between Government Revenue and Economic Growth in Kenya from 2012-2022 using Multiple Linear Regressi

https://doi.org/10.51867/Asarev.Maths.1.1.4

Author

The relationship between government revenue and economic growth is a debate that has existed for a long time in the living history.Government revenue impacts economic growth differently within different regions. Some researchers argue that government revenue positively affects economic growth while others argue that the relationship is negative. However, minimal literature exists exploring the relationship between the two variables at country specific level. The objective of this study was to determine the relationship between Government revenue and economic growth in Kenya. The research adopted the correlational study design. The study used secondary data collected from the Central Bank of Kenya, KNBS, and Government records such as the finance Act. We collected data on different sources of Government Revenue such income tax, Value Added Tax (VAT), excise duty, import duty, Other tax income. The study also included data on non-tax revenue. The set of data under the study was from the financial years 2011/2012 to 2022/2023. The analysis has been done by the use of R software. To identify the level of association of the study variables such as GDP,Income tax,VAT,excise tax,import duty,other tax and non-tax revenue, he study employs multiple linear regression analysis. To check on the level of significance, we tested at 5% significant levels. The p-value is 0.008462 which was less than 0.05 hence we reject the null hypothesis and conclude that there is significant positive relationship between Government Revenue and Economic growth in Kenya.

Languages

English

Professional

Skills

Excel

Research

Data Analyst

SPSS

Econometrics

Statistical Modeling

Climate Change Research

Sustainability Consulting

Sustainability Reporting

Mathematical Modeling

Carbon Footprint

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