Policy inference from technological innovation, renewable energy, and financial development for sustainable development goals (SDGs): insight from asymmetric and bootstrap Granger causality approaches

dc.contributor.authorUdemba, Edmund Ntom
dc.contributor.authorEmir, Firat
dc.contributor.authorKhan, Nazakat-Ullah
dc.contributor.authorHussain, Sadam
dc.date.accessioned2026-02-06T18:35:36Z
dc.date.issued2022
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractWe researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 degrees C and below 2 degrees C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.
dc.identifier.doi10.1007/s11356-022-19730-w
dc.identifier.endpage59117
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue39
dc.identifier.orcid0000-0002-6377-3794
dc.identifier.orcid0000-0003-0645-6108
dc.identifier.orcid0000-0003-4191-0767
dc.identifier.pmid35380330
dc.identifier.scopus2-s2.0-85127565256
dc.identifier.scopusqualityQ1
dc.identifier.startpage59104
dc.identifier.urihttps://doi.org/10.1007/s11356-022-19730-w
dc.identifier.urihttps://hdl.handle.net/11129/11977
dc.identifier.volume29
dc.identifier.wosWOS:000779038300014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectEconomic growth
dc.subjectTechnological innovation
dc.subjectRenewable energy
dc.subjectFinancial development
dc.subjectNARDL
dc.subjectBootstrap granger causality
dc.subjectChina's sustainable development
dc.titlePolicy inference from technological innovation, renewable energy, and financial development for sustainable development goals (SDGs): insight from asymmetric and bootstrap Granger causality approaches
dc.typeArticle

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