Variables and supporting past studies.

<div><p>This study examines the causality of Per Capita Gross Domestic Production (PGDP), Renewable Energy Consumption (REC), and Non-Renewable Energy Consumption (NREC) on Carbon dioxide (CO<sub>2</sub>) emissions at the global level utilising data gathered from 1995 to 2020...

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Main Author: Yuganthi Caldera (19704563) (author)
Other Authors: Tharulee Ranthilake (19704566) (author), Heshan Gunawardana (19704569) (author), Dilshani Senevirathna (19704572) (author), Ruwan Jayathilaka (9557787) (author), Nilmini Rathnayake (14259142) (author), Suren Peter (19704575) (author)
Published: 2024
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_version_ 1852026511450701824
author Yuganthi Caldera (19704563)
author2 Tharulee Ranthilake (19704566)
Heshan Gunawardana (19704569)
Dilshani Senevirathna (19704572)
Ruwan Jayathilaka (9557787)
Nilmini Rathnayake (14259142)
Suren Peter (19704575)
author2_role author
author
author
author
author
author
author_facet Yuganthi Caldera (19704563)
Tharulee Ranthilake (19704566)
Heshan Gunawardana (19704569)
Dilshani Senevirathna (19704572)
Ruwan Jayathilaka (9557787)
Nilmini Rathnayake (14259142)
Suren Peter (19704575)
author_role author
dc.creator.none.fl_str_mv Yuganthi Caldera (19704563)
Tharulee Ranthilake (19704566)
Heshan Gunawardana (19704569)
Dilshani Senevirathna (19704572)
Ruwan Jayathilaka (9557787)
Nilmini Rathnayake (14259142)
Suren Peter (19704575)
dc.date.none.fl_str_mv 2024-09-19T17:44:23Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0308780.t002
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Variables_and_supporting_past_studies_/27067364
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Genetics
Molecular Biology
Evolutionary Biology
Ecology
Developmental Biology
Cancer
providing valuable insights
shows mixed relationships
global wavelet coherence
div >< p
bidirectional causalities across
renewable energy consumption
income country categories
wavelet coherence
energy consumption
country categories
shows one
renewable energy
country analysis
study examines
positive correlation
negative correlation
income levels
findings reveal
exceptionally medium
economic growth
directional relationship
different periods
carbon dioxide
dc.title.none.fl_str_mv Variables and supporting past studies.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <div><p>This study examines the causality of Per Capita Gross Domestic Production (PGDP), Renewable Energy Consumption (REC), and Non-Renewable Energy Consumption (NREC) on Carbon dioxide (CO<sub>2</sub>) emissions at the global level utilising data gathered from 1995 to 2020 across various countries categorised based on income levels as High, Low, Upper Middle and Lower Middle and analysed through wavelet coherence. The findings reveal both bidirectional and unidirectional causality between the variables which have evolved. Globally, a bi-directional relationship is observed with a positive correlation between PGDP and NREC and in contrast, a negative correlation with REC. Furthermore, the analysis highlights varying causalities between CO<sub>2</sub> emissions and PGDP, except for high-income and lower-middle-income country categories, all other shows one-way causality in different periods in the short term. Moreover, CO<sub>2</sub> and REC, show unidirectional causality throughout the short-term, exceptionally medium & long term have both unidirectional and bidirectional causalities across all country categories with a positive correlation. In contrast, CO<sub>2</sub> and NREC depict similar causalities to REC, however, with a negative correlation. A cross-country analysis was performed between CO<sub>2</sub> and PGDP, CO<sub>2</sub> and REC, and CO<sub>2</sub> and NREC using Granger causality which shows mixed relationships. The findings hold significant implications for policymakers, providing valuable insights into the trade-offs between economic growth, energy consumption, and carbon emissions.</p></div>
eu_rights_str_mv openAccess
id Manara_e3fab8278c8f53ea160da8efbbec4cbb
identifier_str_mv 10.1371/journal.pone.0308780.t002
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/27067364
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Variables and supporting past studies.Yuganthi Caldera (19704563)Tharulee Ranthilake (19704566)Heshan Gunawardana (19704569)Dilshani Senevirathna (19704572)Ruwan Jayathilaka (9557787)Nilmini Rathnayake (14259142)Suren Peter (19704575)GeneticsMolecular BiologyEvolutionary BiologyEcologyDevelopmental BiologyCancerproviding valuable insightsshows mixed relationshipsglobal wavelet coherencediv >< pbidirectional causalities acrossrenewable energy consumptionincome country categorieswavelet coherenceenergy consumptioncountry categoriesshows onerenewable energycountry analysisstudy examinespositive correlationnegative correlationincome levelsfindings revealexceptionally mediumeconomic growthdirectional relationshipdifferent periodscarbon dioxide<div><p>This study examines the causality of Per Capita Gross Domestic Production (PGDP), Renewable Energy Consumption (REC), and Non-Renewable Energy Consumption (NREC) on Carbon dioxide (CO<sub>2</sub>) emissions at the global level utilising data gathered from 1995 to 2020 across various countries categorised based on income levels as High, Low, Upper Middle and Lower Middle and analysed through wavelet coherence. The findings reveal both bidirectional and unidirectional causality between the variables which have evolved. Globally, a bi-directional relationship is observed with a positive correlation between PGDP and NREC and in contrast, a negative correlation with REC. Furthermore, the analysis highlights varying causalities between CO<sub>2</sub> emissions and PGDP, except for high-income and lower-middle-income country categories, all other shows one-way causality in different periods in the short term. Moreover, CO<sub>2</sub> and REC, show unidirectional causality throughout the short-term, exceptionally medium & long term have both unidirectional and bidirectional causalities across all country categories with a positive correlation. In contrast, CO<sub>2</sub> and NREC depict similar causalities to REC, however, with a negative correlation. A cross-country analysis was performed between CO<sub>2</sub> and PGDP, CO<sub>2</sub> and REC, and CO<sub>2</sub> and NREC using Granger causality which shows mixed relationships. The findings hold significant implications for policymakers, providing valuable insights into the trade-offs between economic growth, energy consumption, and carbon emissions.</p></div>2024-09-19T17:44:23ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0308780.t002https://figshare.com/articles/dataset/Variables_and_supporting_past_studies_/27067364CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/270673642024-09-19T17:44:23Z
spellingShingle Variables and supporting past studies.
Yuganthi Caldera (19704563)
Genetics
Molecular Biology
Evolutionary Biology
Ecology
Developmental Biology
Cancer
providing valuable insights
shows mixed relationships
global wavelet coherence
div >< p
bidirectional causalities across
renewable energy consumption
income country categories
wavelet coherence
energy consumption
country categories
shows one
renewable energy
country analysis
study examines
positive correlation
negative correlation
income levels
findings reveal
exceptionally medium
economic growth
directional relationship
different periods
carbon dioxide
status_str publishedVersion
title Variables and supporting past studies.
title_full Variables and supporting past studies.
title_fullStr Variables and supporting past studies.
title_full_unstemmed Variables and supporting past studies.
title_short Variables and supporting past studies.
title_sort Variables and supporting past studies.
topic Genetics
Molecular Biology
Evolutionary Biology
Ecology
Developmental Biology
Cancer
providing valuable insights
shows mixed relationships
global wavelet coherence
div >< p
bidirectional causalities across
renewable energy consumption
income country categories
wavelet coherence
energy consumption
country categories
shows one
renewable energy
country analysis
study examines
positive correlation
negative correlation
income levels
findings reveal
exceptionally medium
economic growth
directional relationship
different periods
carbon dioxide