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

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 regressi...

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Bibliographic Details
Main Authors: Weiheng Fu, Weirong Han, Tianze Xu, Yerin Kim, Chengda Lyu, Anqi Zheng
Format: Article
Language:English
Published: UIKTEN 2019-09-01
Series:SAR Journal
Subjects:
greenhouse gas
socio-economic factors
feature selection
principal component
regression
Online Access:http://www.sarjournal.com/content/23/SARJournalSeptember2019_115_120.pdf
Description
Summary: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.
ISSN:2619-9963
2619-9963

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