Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/21453
Title: Statistical Analysis of the Impact of the Gcnet on Revenue Performance in Ghana: (A Case Study of Tema Port)
Authors: Osborne, A.Y.J.
Ofosu, J.B.
Acquah-Bentil, E.
University of Ghana, College of Basic and Applied Sciences School of Physical and Mathematical Sciences Department of Statistics
Keywords: Gcnet
Revenue Performance
Issue Date: Sep-2015
Publisher: University of Ghana
Abstract: In most economies of the world, import revenue makes up a significant part of total government revenue (Zhu & Kotz, 2010). Since economic development in a nation is largely driven by the amount of revenue mobilized, import revenue makes an impact on how well an economy develops. This study aims at assessing the contribution of Ghana’s import revenue mobilization to Gross Domestic Product (GDP) growth and investigate the impact of the implementation of the Ghana Community Network (GCNet) system in import revenue mobilization. The study used both primary and secondary data to draw conclusions on the set objectives. The study administered 150 questionnaires to personnel and staff of Customs, Excise and Preventive Service (CEPS) at Tema port and 135 complete response was attained. The revenue generated from 1999-2013 was collected from Ghana Revenue Authority (GRA) Customers Division at Tema port. Time series model, nonparametric independent samples test and inverse Gaussian generalized linear models were used to analyse and modelled the revenue data. The study shows that, the performance of the GCNet system over the years has been significantly good and not coupled with many challenges. The introduction of GCNet system for revenue mobilization has significantly impact revenue mobilization over the period. Finally, the study revealed that, Gross Domestic Product (GDP) of Ghana is dependent on the four main components of GRA revenue data and inflation rate with a link function of power (-2) through a generalized linear model.
Description: Thesis(MPHIL)-University of Ghana, 2015
URI: http://hdl.handle.net/123456789/21453
Appears in Collections:Department of Statistics



Items in UGSpace are protected by copyright, with all rights reserved, unless otherwise indicated.