What is it about?
This paper explores the social and economic factors that affect GDP per capita as a gauge of economic development for a sample of forty countries. The whole sample is subjected to regression analysis as GDP per capita being the dependent variable and the rest of the factors being the independent variables. Regression analysis showed that of the eleven independent variables, population, GDP, transparency score and compulsory education are the four factors that affect GDP per capita the most.
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Why is it important?
This is an original paper in the sense that it covers 40 different economies and nations. Their historical background played an important role at their level of economic development today. However paper explores that all independent variables are not effective in tandem in explaining the GDP per capita changes.
Perspectives
In that manner it brings a shed of light for future research that more explorations can be made with these four basic ingredients and ingredients can also be changed (as I have explained above). This study can also be repeated in consecutive years to observe the effectiveness of the same ingredients and accordingly ingredients can be changed.
Dr Cenap Ilter
California State University Stanislaus
Read the Original
This page is a summary of: Common grounds of accounting scandals reflected on Wikipedia, Journal of Money Laundering Control, October 2014, Emerald,
DOI: 10.1108/jmlc-10-2013-0037.
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