STATISTICAL ANALYSIS OF THE RELATIONSHIP BETWEEN CO2 EMISSIONS AND SELECTED VARIABLES IN THE KINGDOM OF SAUDI ARABIA

Abstract

This thesis carries research on the link of carbon dioxide CO2 emissions with a special list of items in the country of Saudi Arabia. The variables which have been included to link with CO2 emissions, dependent variable, are gross domestic product GDP, urban population, energy use, trade, exports of goods and services, and import of goods and services, which are independent variables. The data on Saudi Arabia was obtained from the World Bank data bank. The various statistical methods were used for analyzing the data. The methods are scatterplot, correlation, simple linear regression, polynomial regression, and multiple linear regression with two approaches – full model and backward elimination. The correlation matrix shown a significant correlation between CO2 emission and each of the variables except the trade variable. The results of regression analysis indicate that CO2 emission has a significant relation with GDP, urban population, and export of goods and services. The GDP has shown a negative relation with CO2 emission. The analysis has presented very important information on the issue of CO2 emission. The positive application of the national growth program requires further research on this issue.