This paper investigates the impact of oil revenue and the service GDP of Sudan for the period 2000 to 2012. To achieve this goal, secondary data were collected and analyzed using regression methods. The results reveal a causal relationship between oil revenue (independent variable) and service GDP (dependent variables). Regression analysis result suggests that oil revenue affects the service GDP positively. Oil revenue is estimated to have contributed to 78.8 percent of variation in GDP between 2000 and 2012. Furthermore, a unit change in oil revenue will cause a .0246 percent change in service GDP.
The key purpose of this article is to analyze the significant impact of Exports, Government expenditures and Education expenditures on the economic growth of the developed economy of the Luxemburg, which is the member state of the EU: the biggest exporter in the world. The span of time is from the year 1975 to 2009 on yearly basis with total no. of observations of 35. Present analysis is based on the simple ordinary least square method to indentify the important linkage between the export and the growth considering the economy of Luxemburg. Experimental results reveal a significant positive relationship of exports, government spending, educational expenditure, on growth of the economy. Export shows that one unit increase in the export cause a positive change of .17 in the economic growth. In the same way government, exp. and education exp. show a coefficient of 2.67 and 9.93 with positive sign. This article identifies the association between the export and the economic growth with respect to Luxemburg.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.