Racing towards environmental sustainability: a synergy between economic complexity, political stability, and energy transition: policy insight from a bootstrap time varying causality approach

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dc.authoridoncu, erdem/0000-0002-3506-5803
dc.authoridONCU, Erdem/0000-0002-3506-5803;
dc.authorwosidoncu, erdem/AAC-5322-2022
dc.authorwosidONCU, Erdem/HNQ-0857-2023
dc.authorwosidUZUN, BERNA/GXN-1283-2022
dc.contributor.authorSun, Xuan Qing
dc.contributor.authorAwosusi, Abraham Ayobamiji
dc.contributor.authorHan, Zhixuan
dc.contributor.authorUzun, Berna
dc.contributor.authorOncu, Erdem
dc.date.accessioned2024-06-12T11:08:02Z
dc.date.available2024-06-12T11:08:02Z
dc.date.issued2024
dc.departmentTrakya Üniversitesien_US
dc.description.abstractMalaysia's commitment to ecological quality is evident in its agendas for achieving a sustainable environment by 2030. However, hindrances like challenges towards energy transition efforts, stable political institutions, unclean economic globalization practices, and transiting to a complex economy could potentially delay the nation's attainment of its environmental goals. Against this backdrop, the current study focuses on examining the roles of political risk, economic globalization, energy transition, and economic complexity on ecological sustainability in Malaysia. In contrast to previous studies, this study innovatively incorporates a dummy variable to account for potential structural breaks that may occur during the study period. Furthermore, this study used an innovative environmental proxy which incorporates both the demand and supply aspect of the environment during computation. Using the time series data from 1984 to 2018 and employed the ARDL estimator method, the empirical results indicate that economic globalization is associated with ecological deterioration in Malaysia in the long run. On the other hand, economic complexity, political stability, and energy transition are shown to promote ecological sustainability in Malaysia in the long run. Moreover, the bootstrap time varying causality method demonstrates that each of the regressors has the capacity to predict the load capacity factor during distinct sub-periods.en_US
dc.identifier.doi10.1080/13504509.2023.2268573
dc.identifier.endpage221en_US
dc.identifier.issn1350-4509
dc.identifier.issn1745-2627
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85174305787en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage206en_US
dc.identifier.urihttps://doi.org/10.1080/13504509.2023.2268573
dc.identifier.urihttps://hdl.handle.net/20.500.14551/22279
dc.identifier.volume31en_US
dc.identifier.wosWOS:001089168500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofInternational Journal Of Sustainable Development And World Ecologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMalaysiaen_US
dc.subjectEconomic Complexityen_US
dc.subjectPolitical Stabilityen_US
dc.subjectBootstrap Time Varying Causalityen_US
dc.subjectEnergy Transitionen_US
dc.subjectUnit-Rooten_US
dc.subjectConsumptionen_US
dc.subjectSeriesen_US
dc.titleRacing towards environmental sustainability: a synergy between economic complexity, political stability, and energy transition: policy insight from a bootstrap time varying causality approachen_US
dc.typeArticleen_US

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