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Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups

Excessive carbon dioxide (CO2) emissions are driving unprecedented climate changes, necessitating a comprehensive understanding of the underlying socioeconomic factors to develop effective policies for limiting global CO2 concentrations. Current research lacks a broad global perspective that classif...

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Main Authors: Qin, Yuting, Chin, Min Yee, Hoy, Zheng Xuan, Lee, Chew Tin, Khan, Musharib, Woon, Kok Sin
Format: Article
Language:English
Published: Italian Association of Chemical Engineering - AIDIC 2023
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/105996/1/LeeChewTin2023_PearsonCorrelationAnalysisBetweenCarbonDioxide.pdf
http://eprints.utm.my/105996/
http://dx.doi.org/10.3303/CET23106031
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spelling my.utm.1059962024-05-31T02:50:53Z http://eprints.utm.my/105996/ Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups Qin, Yuting Chin, Min Yee Hoy, Zheng Xuan Lee, Chew Tin Khan, Musharib Woon, Kok Sin TP Chemical technology Excessive carbon dioxide (CO2) emissions are driving unprecedented climate changes, necessitating a comprehensive understanding of the underlying socioeconomic factors to develop effective policies for limiting global CO2 concentrations. Current research lacks a broad global perspective that classifies countries based on income levels, limiting our ability to identify specific challenges and opportunities within different economies. This study aims to fill this gap by investigating the correlation between CO2 emissions and socioeconomic factors in ten (10) high-income and lower-middle-income countries. Through Pearson correlation analysis, the study examines the relationship between CO2 emissions and key indicators such as gross domestic product, population, energy consumption, renewable energy usage, and energy intensity from 1991 to 2021. Among the ten countries studied, the socioeconomic factors of high-income countries are more negatively correlated to carbon emissions, while lower-middle-income countries are more positively correlated. Both income groups have a positive correlation between energy consumption and carbon emissions. This research contributes to evidence-based policymaking and promotes sustainable development practices, offering valuable guidance for policymakers worldwide to combat climate change and reduce carbon emissions across diverse income groups. Italian Association of Chemical Engineering - AIDIC 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/105996/1/LeeChewTin2023_PearsonCorrelationAnalysisBetweenCarbonDioxide.pdf Qin, Yuting and Chin, Min Yee and Hoy, Zheng Xuan and Lee, Chew Tin and Khan, Musharib and Woon, Kok Sin (2023) Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups. Chemical Engineering Transactions, 106 (NA). pp. 181-186. ISSN 2283-9216 http://dx.doi.org/10.3303/CET23106031 DOI : 10.3303/CET23106031
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Qin, Yuting
Chin, Min Yee
Hoy, Zheng Xuan
Lee, Chew Tin
Khan, Musharib
Woon, Kok Sin
Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
description Excessive carbon dioxide (CO2) emissions are driving unprecedented climate changes, necessitating a comprehensive understanding of the underlying socioeconomic factors to develop effective policies for limiting global CO2 concentrations. Current research lacks a broad global perspective that classifies countries based on income levels, limiting our ability to identify specific challenges and opportunities within different economies. This study aims to fill this gap by investigating the correlation between CO2 emissions and socioeconomic factors in ten (10) high-income and lower-middle-income countries. Through Pearson correlation analysis, the study examines the relationship between CO2 emissions and key indicators such as gross domestic product, population, energy consumption, renewable energy usage, and energy intensity from 1991 to 2021. Among the ten countries studied, the socioeconomic factors of high-income countries are more negatively correlated to carbon emissions, while lower-middle-income countries are more positively correlated. Both income groups have a positive correlation between energy consumption and carbon emissions. This research contributes to evidence-based policymaking and promotes sustainable development practices, offering valuable guidance for policymakers worldwide to combat climate change and reduce carbon emissions across diverse income groups.
format Article
author Qin, Yuting
Chin, Min Yee
Hoy, Zheng Xuan
Lee, Chew Tin
Khan, Musharib
Woon, Kok Sin
author_facet Qin, Yuting
Chin, Min Yee
Hoy, Zheng Xuan
Lee, Chew Tin
Khan, Musharib
Woon, Kok Sin
author_sort Qin, Yuting
title Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
title_short Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
title_full Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
title_fullStr Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
title_full_unstemmed Pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
title_sort pearson correlation analysis between carbon dioxide emissions and socioeconomic factors across nations' income groups
publisher Italian Association of Chemical Engineering - AIDIC
publishDate 2023
url http://eprints.utm.my/105996/1/LeeChewTin2023_PearsonCorrelationAnalysisBetweenCarbonDioxide.pdf
http://eprints.utm.my/105996/
http://dx.doi.org/10.3303/CET23106031
_version_ 1800714795106697216
score 13.211869

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