The Moderating Role of Renewable and Non-Renewable Energy in Environment-Income Nexus for Asean Countries: Evidence From Method of Moments Quantile Regression

dc.contributor.author Anwar, Ahsan
dc.contributor.author Siddique, Muhammad
dc.contributor.author Dogan, Eyup
dc.contributor.author Sharif, Arshian Aslam
dc.date.accessioned 2025-09-25T10:59:31Z
dc.date.available 2025-09-25T10:59:31Z
dc.date.issued 2021
dc.description.abstract A vast body of studies estimates the impact of energy consumption on the environment. A typical empirical study either use aggregate energy consumption or apply conventional econometric techniques in modelling the nexus of energy, income and environment. To correct these gaps, the objective of the study is to use renewable and non-renewable energy consumption in analyzing energy-income-environment nexus, and to apply the novel Method of Moments Quantile Regression for ASEAN countries. The outcomes indicate that non-renewable energy consumption stimulate carbon emissions across all quantiles (10th to 90th), the value of the 10th quantile is 0.257 which rises to 0.501 till 90th quantile. Whereas, the renewable energy consumption leads to a decrease in CO<inf>2</inf> emissions across all the quantiles (10th to 90th) but this association is statistically insignificant at higher quantiles from 60th to 90th. The empirical outcomes also verify the presence of the environmental Kuznets curve relationship, which is statistically significant from the middle (30th) to higher (90th) quantiles. Moreover, the finding of panel estimation approaches (FMOLS, DOLS, FE-OLS) also verify the existence of the EKC hypothesis in ASEAN countries. Their finding also describes that 1% increase in non-renewable energy consumption increase CO<inf>2</inf> emission by 0.29%, 0.26% and 0.30% whereas 1% increase in the usage of renewable energy reduces CO<inf>2</inf> emission by 0.17%, 0.15% and 0.17% in case of FMOLS, DOLS and FE-OLS respectively. The empirical results conclude that the government should encourage and subsidize the sources of green energy to tackle environmental degradation. More policy implications are further discussed in the study. © 2020 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.1016/j.renene.2020.09.128
dc.identifier.isbn 9780123750259
dc.identifier.issn 1879-0682
dc.identifier.issn 0960-1481
dc.identifier.scopus 2-s2.0-85092075519
dc.identifier.uri https://doi.org/10.1016/j.renene.2020.09.128
dc.identifier.uri https://hdl.handle.net/20.500.12573/4831
dc.language.iso en en_US
dc.publisher Elsevier Ltd en_US
dc.relation.ispartof Renewable Energy en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Asean en_US
dc.subject Ekc Hypothesis en_US
dc.subject Method of Moments Quantile Regression en_US
dc.subject Non-Renewable Energy Consumption en_US
dc.subject Renewable Energy Consumption en_US
dc.subject Carbon Dioxide en_US
dc.subject Economic Analysis en_US
dc.subject Energy Utilization en_US
dc.subject Method of Moments en_US
dc.subject Public Policy en_US
dc.subject Environmental Kuznets Curves en_US
dc.subject Estimation Approaches en_US
dc.subject Non-Renewable Energy en_US
dc.subject Policy Implications en_US
dc.subject Quantile Regression en_US
dc.subject Renewable and Non-Renewable Energy Consumption en_US
dc.subject Renewable Energies en_US
dc.subject Renewable Energy Consumption en_US
dc.subject Energy Policy en_US
dc.subject Alternative Energy en_US
dc.subject Asean en_US
dc.subject Carbon Emission en_US
dc.subject Emission Control en_US
dc.subject Energy Use en_US
dc.subject Environmental Degradation en_US
dc.subject Environmental Economics en_US
dc.subject Environmental Policy en_US
dc.subject Government en_US
dc.subject Kuznets Curve en_US
dc.subject Regression Analysis en_US
dc.title The Moderating Role of Renewable and Non-Renewable Energy in Environment-Income Nexus for Asean Countries: Evidence From Method of Moments Quantile Regression en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 57219298838
gdc.author.scopusid 58948372100
gdc.author.scopusid 56088161200
gdc.author.scopusid 56872517200
gdc.bip.impulseclass C1
gdc.bip.influenceclass C3
gdc.bip.popularityclass C2
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Anwar] Ahsan,; [Siddique] Muhammad,; [Dogan] Eyup, Department of Economics, Abdullah Gül Üniversitesi, Kayseri, Turkey, College of Business Administration, Sharjah, United Arab Emirates; [Sharif] Arshian Aslam, Othman Yeop Abdullah Graduate School of Business, Kuala Lumpur, Malaysia, Faculty of Management Sciences, Ilma University, Karachi, Pakistan en_US
gdc.description.endpage 967 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 956 en_US
gdc.description.volume 164 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3089857341
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 341.0
gdc.oaire.influence 1.35445E-8
gdc.oaire.isgreen false
gdc.oaire.popularity 3.298286E-7
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 72.75845487
gdc.openalex.normalizedpercentile 1.0
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 358
gdc.plumx.crossrefcites 394
gdc.plumx.mendeley 340
gdc.plumx.scopuscites 392
gdc.scopus.citedcount 394
gdc.virtual.author Doğan, Eyüp
relation.isAuthorOfPublication ce550f72-e658-4f7a-b18f-db863e2acaf9
relation.isAuthorOfPublication.latestForDiscovery ce550f72-e658-4f7a-b18f-db863e2acaf9
relation.isOrgUnitOfPublication 665d3039-05f8-4a25-9a3c-b9550bffecef
relation.isOrgUnitOfPublication 0acb04bc-dc44-4d23-bf19-b42148204f24
relation.isOrgUnitOfPublication f2803143-783c-4edc-859a-7a1421d6d5c6
relation.isOrgUnitOfPublication.latestForDiscovery 665d3039-05f8-4a25-9a3c-b9550bffecef

Files