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Decarbonization Transition Pathways and Regional Trends: Insights from One Million Studies

2025-06Conference paper Open access
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datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg13:Ação Climática
dc.contributor.authorBento, Nuno
dc.contributor.authorAlves, Tiago
dc.contributor.authorRibeiro, Ricardo
dc.contributor.authorFontes, Margarida
dc.date.accessioned2025-09-10T11:13:48Z
dc.date.available2025-09-10T11:13:48Z
dc.date.issued2025-06
dc.description.abstractABSTRACT: As global temperatures near critical thresholds and emissions continue to rise, the urgency for strategic, accelerated decarbonization grows. Despite a vast climate mitigation literature, a systematic understanding of actionable pathways remains limited. Here, we apply artificial intelligence to analyze over one million scientific papers (2011–2021), generating a data-driven typology of six archetypal decarbonization pathways: Technology Breakthrough, Electrification of Uses, Integrated Policy, Decarbonization of Electricity, Demand Reduction & Co-benefits, and Land Use & Circularity. Regional patterns show Electrification of Uses prevailing in Europe (EU27), while Technology Breakthrough dominates in China, the US, and Japan. Increasing political and societal resistance to mitigation makes the strategic selection and combination of pathways even more critical. Our analysis highlights key synergies between pathways, the scientific competencies required to support them, and persistent gaps—particularly in Land Use and Circularity. We also compare current climate policy directions with the typology, revealing alignment gaps that may weaken policy effectiveness. This framework enables policymakers to better match strategies with regional capacities and research strengths, offering a more coherent approach to decarbonization. Strengthening the integration of science, technology, and policy is essential to overcome fragmentation and deliver the emissions reductions needed to meet the net-zero climate targets.eng
dc.identifier.citationBento, N., Alves, T., Ribeiro, R. & Fontes, M. (2025). Decarbonization Transition Pathways and Regional Trends: Insights from One Million Studies. In: Book of Papers IST 2025: 16th International Sustainability Transitions Conference, 24-26 June 2025, Lisbon., pp. 107-130
dc.identifier.urihttp://hdl.handle.net/10400.9/6045
dc.language.isoeng
dc.peerreviewedn/a
dc.relationSustainable Transformative Transitions (Sus2Trans)— Conciliate Accelerated Low Carbon Transitions with System Transformations
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectClimate policy
dc.subjectDecarbonization
dc.subjectLow-carbon innovation
dc.subjectMachine learning
dc.titleDecarbonization Transition Pathways and Regional Trends: Insights from One Million Studieseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleSustainable Transformative Transitions (Sus2Trans)— Conciliate Accelerated Low Carbon Transitions with System Transformations
oaire.awardURIhttp://hdl.handle.net/10400.9/5972
oaire.citation.conferenceDate2025-06
oaire.citation.conferencePlaceLisboa, Portugal
oaire.citation.endPage130
oaire.citation.startPage107
oaire.citation.titleIST 2025: 16th International Sustainability Transitions Conference
oaire.fundingStream3599-PPCDT
oaire.versionhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43
person.familyNameBento
person.familyNameAlves
person.familyNameFontes
person.givenNameNuno
person.givenNameTiago
person.givenNameMargarida
person.identifiergSDXHS8AAAAJ&hl
person.identifier.ciencia-id1B19-5AC8-66D5
person.identifier.orcid0000-0002-5923-0666
person.identifier.orcid0000-0001-7382-0737
person.identifier.orcid0000-0002-2198-2061
relation.isAuthorOfPublication44fc83e8-e8c8-43ea-b043-e21e2600443b
relation.isAuthorOfPublicationa8721261-b75a-4927-8d30-ae786957720b
relation.isAuthorOfPublication2c69f9a6-b03f-4123-926b-70c7b994929e
relation.isAuthorOfPublication.latestForDiscovery44fc83e8-e8c8-43ea-b043-e21e2600443b
relation.isProjectOfPublicationf09ce943-3178-460e-a4a3-d5f12f612160
relation.isProjectOfPublication.latestForDiscoveryf09ce943-3178-460e-a4a3-d5f12f612160

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