Exploring the Interconnection of Greenhouse Gas Emission and Socio-economic Factors

This paper examines the dependence of the emission of greenhouse gases including CO2, N2O and CH4 on social, economic and demographic factors. Feature selection is used to identify the most influential parameters, and emissions are modeled using three regression techniques, including linear regression, principal component regression and partial least square regression. The models are evaluated for key implications.