3 research outputs found

    Correlation between Value Added Tax (VAT) and National Revenue in Nigeria: An ECM model

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    The main objective of taxation is to raise government revenue. Taxation is a lumpy setup. When disaggregated it has four components. For example in Nigeria we have VAT, Company Income Tax, Personal Income Tax and Petroleum Profit Tax. This paper therefore examines the extent to which VAT has been contributing to Nigeria total federally collected revenue and subsequently it’s position among the other three components. Hence the study employed an Error Correction Model (ECM) for the analysis. Data spanning 1994 -2012 sourced from Central Bank of Nigeria annual report & CBN Statistical Bulletin were used for the analysis. Result from the study revealed that VAT in the second long term source of the total federally collected revenue. The study recommends that all identified loopholes should be plugged for VAT revenue to contribute more to total Federally collected revenue. Keywords: Value Added Tax, Federally Collected Revenue, Taxation

    The Impact of Value Added Tax on Nigerian Economic Growth (1994-2012): An Investigation

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    Taxation as an instrument of fiscal policy is a critical contributor to revenue generation capacity of government and by extension a stimulator of growth and development. This study merely added to the vast literature on VAT – a component of taxation. By employing the Error correction model, the study ascertained how VAT has impacted on Nigerian economic growth. The result was further re-enforced by assessing the performance of the different sectors in the Nigerian economy in contributing to VAT revenue, with a view to showcase their effect on economic growth in the new millennium. The causal relationship is tested using Granger Causality. A positive and insignificant correlation exists between VAT Revenue and real GDP as there are some problems inhibiting its potency. Both economic variables fluctuated greatly over the period though VAT Revenue was more stable .Granger Causality Test also revealed that the relationship between VAT and real GDP is unidirectional and a lag period of four years exists. That is real GDP granger causes VAT revenue; hence policy makers should favour all economic growth determinant factors for VAT to contribute significantly. This study also recommends that all identified problems and administrative loopholes should be plugged for VAT Revenue to contribute significantly to economic growth of the country. This should be done on the realization that any action taken on either VAT Revenue or the GDP will take four years to become effective. Keywords: Granger Causality, Value Added Tax, Economic Growt

    Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration

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    Efficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and patterns of the speed of broadband Internet provided in a Nigerian private university campus are largely explored. Data transmission speed and data reception speed were monitored and recorded on daily basis at Covenant University, Nigeria for a period of twelve months (January–December, 2017). The continuous data collection and logging were performed at the Network Operating Center (NOC) of the university using SolarWinds Orion software. Descriptive statistics, correlation and regression analyses, Probability Density Functions (PDFs), Cumulative Distribution Functions (CDFs), Analysis of Variance (ANOVA) test, and multiple comparison post-hoc test are performed using MATLAB 2016a. Extensive statistical visualizations of the results obtained are presented in tables, graphs, and plots. Availability of these data will help network administrators to determine optimal network latency towards efficient deployment of high-speed broadband communication networks in smart campuses. Keywords: Smart campus, Broadband internet access, Data bit rate, Mobile communication, Knowledge managemen
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