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

Weiheng Fu, Weirong Han, Tianze Xu, Yerin Kim, Chengda Lyu, Anqi Zheng

© 2019 Weiheng Fu, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: SAR Journal. Volume 2, Issue 3, Pages 115-120, ISSN 2619-9955, DOI: 10.18421/SAR23-05, September 2019.

Received: 12 June 2019.
Revised: 30 August 2019.
Accepted: 07 September 2019.
Published: 28 September 2019.


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.

Keywords – greenhouse gas, socio-economic factors, feature selection, principal component, regression.


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