Distribution Pattern of Carbon Footprint Using Machine Learning Algorithms

Abstract

The article deals with global carbon emission distribution through comparisons with different types ofeconomic determinants among countries. The association amongCO2 emission, Export, Import, FDI net inflows, GDP and Population has been performed through construction of different clusters based on their CO2 emission values followed by the application of fuzzy regression model along with LASSO and ridge methods. The methodology and results thus obtained are analyzed with respect to the current global situation. Several investigations have been established to depict the emission scenario throughout the diversified set of countries.